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{ |
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"personal_details": { |
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"full_name": "Manyue Javvadi", |
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"current_location": "Canada", |
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"nationality": "Indian", |
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"professional_summary": "I'm Manyue Javvadi, a Machine Learning enthusiast passionate about creating projects that push the limits of innovation. Guided by the belief that 'Imagination is more powerful than knowledge,' as Albert Einstein once said, I strive to develop solutions that enhance human potential, not replace it. Explore the ideas and creations that aren't just part of the present—they're shaping a future where technology and humanity thrive together.", |
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"online_presence": { |
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"personal_website": "https://manyuejavvadi.netlify.app/", |
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"linkedin": "https://www.linkedin.com/in/manyue-javvadi-datascientist/", |
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"portfolio": "https://manyue-datascientist-portfolio.streamlit.app/", |
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"blog_posts": [ |
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{ |
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"title": "The Questions That Kept Me Up All Night: My Sleepless Struggle to Understand NLP", |
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"focus": "Deep dive into Natural Language Processing challenges and insights" |
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}, |
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{ |
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"title": "Are We Headed Toward the Next Threat, Bigger Than a Nuclear Bomb?", |
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"focus": "Analysis of AI safety and ethical considerations" |
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}, |
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{ |
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"title": "How KNN Works: A Simple Explanation of Nearest Neighbors", |
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"link":"https://knn-algorithm-explained-by-manyue-javvadi.hashnode.dev/how-knn-works-a-simple-explanation-of-nearest-neighbors", |
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"focus": "Educational content breaking down ML algorithms" |
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} |
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] |
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}, |
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"career_transition": { |
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"key_decision": "Transitioned from Java development at Cognizant to pursue ML/AI dream in Canada", |
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"motivation": "Combining technical expertise with innovation and commerce skills in ML/AI field", |
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"current_focus": "Building practical ML solutions while advancing education in Canada" |
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} |
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}, |
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"education": { |
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"postgraduate": [ |
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{ |
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"course_name": "Big Data Analytics", |
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"institution": "Georgian College", |
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"graduation_year": "2024", |
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"gpa": "8.3/10", |
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"achievements": ["Dean's List Honoree"], |
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"key_courses": [ |
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"Advanced Machine Learning", |
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"Big Data Processing", |
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"Statistical Analysis", |
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"Data Visualization" |
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] |
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}, |
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{ |
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"course_name": "Applied AI Solutions Development Program", |
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"institution": "George Brown College", |
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"graduation_year": "2025", |
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"gpa": "3.8/4.0", |
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"key_courses": [ |
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"Deep Learning Applications", |
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"Natural Language Processing", |
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"Computer Vision", |
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"MLOps and Deployment" |
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] |
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} |
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], |
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"undergraduate": { |
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"course_name": "Bachelor of Commerce", |
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"institution": "SRM University Chennai", |
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"graduation_year": "2021", |
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"grade": "89%", |
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"relevance": "Strong foundation in business analytics and decision-making" |
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}, |
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"ongoing_learning": { |
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"certifications_in_progress": ["MLOps Specialization"], |
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"areas_of_focus": [ |
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"Model Deployment", |
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"CI/CD for ML", |
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"ML System Design" |
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] |
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} |
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}, |
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"skills": { |
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"technical_skills": { |
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"machine_learning": { |
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"core": ["Supervised Learning", "Unsupervised Learning", "Neural Networks"], |
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"frameworks": ["scikit-learn", "TensorFlow", "PyTorch"], |
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"focus_areas": ["NLP", "Computer Vision", "Recommendation Systems"] |
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}, |
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"programming": { |
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"primary": ["Python", "Java"], |
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"libraries": ["NumPy", "Pandas", "Matplotlib", "Seaborn"], |
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"tools": ["Git", "Docker"] |
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}, |
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"data": { |
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"databases": ["SQL", "MongoDB"], |
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"visualization": ["Tableau", "PowerBI"], |
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"processing": ["PySpark", "Hadoop"] |
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}, |
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"deployment": { |
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"web": ["Streamlit", "Flask"], |
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"mlops": ["MLflow", "DVC"], |
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"version_control": ["Git", "GitHub"] |
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} |
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}, |
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"soft_skills": [ |
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{ |
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"skill": "Problem-solving", |
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"context": "Developed innovative solutions in ML projects" |
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}, |
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{ |
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"skill": "Communication", |
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"context": "Technical blog writing and project documentation" |
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}, |
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{ |
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"skill": "Adaptability", |
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"context": "Successfully transitioned from commerce to tech" |
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}, |
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{ |
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"skill": "Leadership", |
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"context": "Led project teams and initiatives" |
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} |
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] |
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}, |
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"professional_experience": { |
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"work_experience": [ |
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{ |
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"position": "Junior Software Engineer", |
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"company": "Cognizant", |
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"duration": "June 2021 – September 2023", |
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"location": "Chennai, India", |
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"achievements": [ |
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"Developed and maintained Java applications in insurance domain", |
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"Led migration from SVN to GitHub for improved development workflow", |
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"Collaborated with cross-functional teams for requirement analysis", |
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"Resolved version conflicts during application upgrades" |
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], |
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"technologies_used": [ |
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"Java", |
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"Spring Framework", |
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"SQL", |
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"Git" |
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], |
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"impact": "Improved documentation process and streamlined backend storage" |
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} |
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] |
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}, |
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"projects": { |
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|
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"major_projects": [ |
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{ |
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"name": "AI-Powered POS System", |
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"description": "An innovative Point-of-Sale system that integrates cutting-edge AI technologies to revolutionize restaurant operations. The project involves proprietary algorithms and novel approaches that are currently under IP discussion with my institution.", |
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"impact": "Aims to transform how restaurants handle operations, inventory, and customer service using AI", |
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"skills_used": ["Python", "MLOps", "Deep Learning", "Computer Vision"], |
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"status": "Under active development - MVP phase", |
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"confidentiality_note": "Full details under IP review" |
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}, |
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{ |
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"name": "Innovative E-commerce Enhancement", |
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"description": "Developing a transformative feature for Shopify stores that leverages advanced NLP and ML techniques to significantly improve customer engagement and conversion rates.", |
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"impact": "Early testing shows promising results in customer interaction metrics", |
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"skills_used": ["Python", "Neural Networks", "NLP", "Deep Learning"], |
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"status": "In development - proprietary solution", |
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"confidentiality_note": "Details limited due to potential commercial application" |
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}, |
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{ |
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"name": "Smart Nutrition Recommendation System", |
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"description": "An innovative system that scans product barcodes and analyzes nutrition labels to provide personalized healthy alternatives based on user preferences and dietary requirements.", |
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"key_features": [ |
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"Barcode scanning integration", |
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"Nutrition analysis engine", |
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"Personalized recommendation algorithm", |
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"Alternative product matching" |
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], |
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"technical_details": { |
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"data_processing": "Real-time nutrition label analysis", |
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"ml_models": "Custom recommendation engine using collaborative and content-based filtering", |
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"user_profiling": "Dynamic preference learning system" |
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}, |
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"skills_used": ["Python", "Computer Vision", "Machine Learning", "Recommendation Systems"], |
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"status": "Prototype development", |
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"target_impact": "Making healthy food choices more accessible and personalized" |
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}, |
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{ |
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"name": "AI Portfolio Assistant", |
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"description": "A sophisticated chatbot leveraging LLM technology to provide dynamic, context-aware responses about my professional journey and projects.", |
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"key_features": [ |
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"Natural language understanding", |
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"Context-aware responses", |
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"Dynamic job description analysis" |
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], |
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"skills_used": ["Python", "LLMs", "Streamlit", "NLP"], |
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"status": "Deployed and actively enhanced" |
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} |
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], |
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"algorithm_practice_projects": [ |
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{ |
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"name": "University Admission Predictor", |
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"type": "Linear Regression Implementation", |
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"description": "Built from scratch to understand core regression concepts, helping Jamboree predict admission chances for international students.", |
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"technical_focus": "Custom implementation of linear regression without using sklearn", |
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"skills_developed": ["Statistical Analysis", "Algorithm Implementation", "Feature Engineering"], |
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"accuracy": "81% on test data", |
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"status": "Completed" |
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}, |
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{ |
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"name": "LoanTap Credit Assessment", |
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"type": "Logistic Regression Implementation", |
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"description": "Custom-built logistic regression model for credit worthiness prediction", |
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"technical_focus": "Implementation of logistic regression from scratch", |
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"skills_developed": ["Credit Risk Modeling", "Binary Classification", "Model Evaluation"], |
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"status": "Completed" |
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}, |
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{ |
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"name": "OLA Driver Retention Analysis", |
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"type": "Ensemble Learning", |
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"description": "Predictive modeling for driver churn using various ensemble techniques", |
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"technical_focus": "Implementation of multiple base models and ensemble methods", |
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"skills_developed": ["Ensemble Methods", "Feature Selection", "Model Comparison"], |
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"status": "Completed" |
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}, |
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{ |
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"name": "AdEase View Prediction", |
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"type": "Time Series Analysis", |
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"description": "Forecasting Wikipedia page views for optimal ad placement", |
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"technical_focus": "Implementation of time series models and forecasting techniques", |
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"skills_developed": ["Time Series Analysis", "Forecasting", "Data Preprocessing"], |
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"status": "Completed" |
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} |
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] |
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}, |
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|
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"personal_journey": { |
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"dietary_changes": "I transitioned to a vegetarian diet in 2021 but resumed eating non-veg in 2023 to address nutritional deficiencies.", |
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"life_changes": [ |
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{ |
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"date": "December 2023", |
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"event": "I relocated to Canada for advanced education." |
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} |
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], |
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"mindset": "I am resilient, adaptable, and innovation-driven. I thrive on challenges and use setbacks as opportunities for growth.", |
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"motto_or_vision": "To leverage AI/ML to create solutions that enhance user experiences while retaining the human touch." |
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}, |
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"goals_and_aspirations": { |
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"short_term": [ |
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"I want to master advanced machine learning techniques.", |
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"I aim to expand my portfolio with impactful projects.", |
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"I seek to secure a role as an ML engineer in Canada." |
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], |
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"long_term": [ |
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"I plan to develop AI solutions that redefine retail and hospitality experiences.", |
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"I aspire to establish a successful AI startup.", |
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"I want to mentor aspiring AI professionals." |
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] |
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}, |
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"frequently_asked_questions": [ |
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{ |
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"question": "Why did you transition from commerce to AI/ML?", |
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"answer": "The transition from commerce to AI/ML was a result of an unexpected turn in my career journey. After completing my bachelor's degree in commerce, I was fortunate to land a job at Cognizant Technology Solutions as a Programmer Trainee. Despite having no prior experience in coding or programming, coming from a core commerce background, my eagerness to learn and quick adaptability caught the attention of my trainers. CTS gave me an opportunity, and during the initial 45-day training period and assessment, I performed exceptionally well in Java, which helped me secure a position in the development team. This was a remarkable achievement, as many computer science graduates typically end up in support roles. However, after working for a year, I realized that while I had developed a passion for programming, I still felt disconnected from my original interest in business and commerce. I knew I had to find a way to combine both my love for programming and my interest in business. That's when I discovered data science and machine learning, which seemed like the perfect intersection. With this newfound clarity, I embarked on a journey to master AI/ML, and now, I am truly enjoying the blend of technology and business that this field offers." |
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}, |
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{ |
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"question": "What unique qualities do you bring to the table?", |
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"answer": "I combine technical expertise with a fresh perspective, thanks to my diverse background. My adaptability and ability to think beyond conventional approaches are my biggest strengths." |
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}, |
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{ |
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"question": "What is your most innovative project?", |
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"answer": "The most innovative project is an AI-powered Point-of-Sale (POS) system designed to Reduce order time and order errors. I'm currently working with my college to secure intellectual property rights, so I can't disclose the full extent of its capabilities at this time. However, I'm confident that this project has the potential to significantly impact the restaurant industry." |
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} |
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], |
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"career_development": { |
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"short_term": [ |
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"I aim to continue mastering ML concepts through projects and coursework.", |
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"I want to build a portfolio that highlights my ability to solve real-world problems.", |
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"I plan to secure an ML engineer role in retail or hospitality AI." |
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], |
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"long_term": [ |
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"I intend to build AI tools that make a global impact in the retail sector.", |
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"I aspire to launch my own AI startup focused on innovative NLP applications.", |
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"I want to contribute to the AI/ML community by mentoring and sharing knowledge." |
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], |
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"perspectives": { |
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"market_outlook": { |
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"job_market": "I believe market conditions are less about timing and more about preparation. While the market may have its ups and downs, I focus on building strong skills and creating impactful projects. Quality efforts and continuous learning will always find opportunities.", |
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"value_proposition": "My unique combination of commerce background and technical skills allows me to understand both business needs and technical implementation, making me a valuable asset regardless of market conditions.", |
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"strategy": "I'm using this time to enhance my skills, build innovative projects, and stay ahead of industry trends. It's about creating value, not just seeking opportunities." |
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}, |
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"learning_philosophy": "I believe in learning through practical implementation. Rather than just studying algorithms, I build projects from scratch to truly understand the concepts.", |
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"work_approach": "I focus on creating solutions that enhance human capabilities rather than replacing them. Every project I undertake aims to solve real-world problems.", |
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"career_perspective": "Success in tech isn't just about coding skills—it's about understanding business problems and creating meaningful solutions." |
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}, |
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"common_queries": { |
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"weather": "I'm focused on ML/AI and career discussions. For weather information, I'd recommend checking local weather services.", |
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"market_conditions": "Rather than focusing on market conditions, I believe in creating value through continuous learning and practical projects. Would you like to know about my approach to standing out in any market?", |
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"general": "I'm Manyue's portfolio assistant, focused on discussing my professional journey, projects, and ML/AI expertise. For general queries, I'd encourage exploring more relevant resources." |
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} |
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} |
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} |
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