- I enjoy dancing in my free time, especially salsa and hip-hop.
- I love hiking and exploring the great outdoors on weekends.
- Cooking is a passion of mine, and I often experiment with new recipes.
- Painting and sketching help me unwind and tap into my creative side.
- Playing the guitar is another hobby that brings me joy and relaxation.
- I am an avid reader and always have a book on hand to dive into different worlds.
Elijah Ferreira can be reached at elijah.ferreira@email.com and resides at 123 Ocean View Drive, Taj Mahal Palace, Mumbai, India. He can be contacted at +91-9876543210 for any inquiries or communication.
As a Data Scientist at TechGen Analytics from 2012 to 2016, I led projects in machine learning and predictive modeling. Prior to that, I honed my skills as a Junior Data Analyst at DataTech Solutions from 2008 to 2012, where I developed data visualization tools for client reporting.
Proficient in Python, R, and SQL for data manipulation and analysis. Skilled in machine learning algorithms and statistical modeling to derive actionable insights from complex datasets.
- Publication Title: "Predictive Modeling of Customer Churn in Telecommunication Industry"
  Journal: International Journal of Data Science and Analytics
  Year: 2008

- Publication Title: "Sentiment Analysis of Social Media Data Using Machine Learning Techniques"
  Conference: IEEE International Conference on Data Mining
  Year: 2010

- Publication Title: "Anomaly Detection in Network Traffic Using Deep Learning Algorithms"
  Journal: ACM Transactions on Knowledge Discovery from Data
  Year: 2012

- Publication Title: "Forecasting Stock Prices with Long Short-Term Memory Networks"
  Conference: Neural Information Processing Systems (NIPS)
  Year: 2014

- Publication Title: "A Survey of Feature Selection Methods for High-Dimensional Data"
  Journal: Journal of Machine Learning Research
  Year: 2016

- Publication Title: "Explainable AI: Interpretable Models for Decision Support Systems"
  Conference: AAAI Conference on Artificial Intelligence
  Year: 2018
- I enjoy dancing in my free time, especially salsa and hip-hop.
- I love hiking and exploring the great outdoors on weekends.
- Cooking is a passion of mine, and I often experiment with new recipes.
- Painting and sketching help me unwind and tap into my creative side.
- Playing the guitar is another hobby that brings me joy and relaxation.
- I am an avid reader and always have a book on hand to dive into different worlds.
Elijah Ferreira can be reached at elijah.ferreira@email.com and resides at 123 Ocean View Drive, Taj Mahal Palace, Mumbai, India. He can be contacted at +91-9876543210 for any inquiries or communication.
- Publication Title: "Predictive Modeling of Customer Churn in Telecommunication Industry"
  Journal: International Journal of Data Science and Analytics
  Year: 2008

- Publication Title: "Sentiment Analysis of Social Media Data Using Machine Learning Techniques"
  Conference: IEEE International Conference on Data Mining
  Year: 2010

- Publication Title: "Anomaly Detection in Network Traffic Using Deep Learning Algorithms"
  Journal: ACM Transactions on Knowledge Discovery from Data
  Year: 2012

- Publication Title: "Forecasting Stock Prices with Long Short-Term Memory Networks"
  Conference: Neural Information Processing Systems (NIPS)
  Year: 2014

- Publication Title: "A Survey of Feature Selection Methods for High-Dimensional Data"
  Journal: Journal of Machine Learning Research
  Year: 2016

- Publication Title: "Explainable AI: Interpretable Models for Decision Support Systems"
  Conference: AAAI Conference on Artificial Intelligence
  Year: 2018
As a Data Scientist at TechGen Analytics from 2012 to 2016, I led projects in machine learning and predictive modeling. Prior to that, I honed my skills as a Junior Data Analyst at DataTech Solutions from 2008 to 2012, where I developed data visualization tools for client reporting.
Proficient in Python, R, and SQL for data manipulation and analysis. Skilled in machine learning algorithms and statistical modeling to derive actionable insights from complex datasets.