I enjoy mountain biking on weekends to stay active and explore nature. In addition, I have a passion for painting landscapes in my free time as a creative outlet that is completely unrelated to my work as a Data Scientist.
- Mail: ava.carvalho@oberoihotels.com
- Address: The Oberoi Rajvilas, Goner Road, Jaipur, Rajasthan, India
- Phone: +91 141 2680101
- Name: Ava Carvalho
- LinkedIn: linkedin.com/in/ava-carvalho
1. As a Data Scientist at TechInsight, I led the development of predictive models to optimize customer segmentation strategies from 2010 to 2013.
2. At Analytix Solutions, I spearheaded the implementation of machine learning algorithms for fraud detection in financial transactions between 2014 and 2017.
3. Serving as the Lead Data Scientist at InnovateData, I designed and deployed natural language processing solutions for sentiment analysis from 2018 to 2021.
4. During my tenure at InfoAnalytics, I collaborated with cross-functional teams to create interactive dashboards for real-time data visualization between 2022 and 2025.
- Proficient in advanced statistical analysis techniques such as machine learning and predictive modeling to derive actionable insights from complex datasets.
- Skilled in data visualization tools like Tableau and Power BI to effectively communicate findings and drive data-driven decision-making within organizations.
- 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 mountain biking on weekends to stay active and explore nature. In addition, I have a passion for painting landscapes in my free time as a creative outlet that is completely unrelated to my work as a Data Scientist.
- Mail: ava.carvalho@oberoihotels.com
- Address: The Oberoi Rajvilas, Goner Road, Jaipur, Rajasthan, India
- Phone: +91 141 2680101
- Name: Ava Carvalho
- LinkedIn: linkedin.com/in/ava-carvalho
- Proficient in advanced statistical analysis techniques such as machine learning and predictive modeling to derive actionable insights from complex datasets.
- Skilled in data visualization tools like Tableau and Power BI to effectively communicate findings and drive data-driven decision-making within organizations.
- 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
1. As a Data Scientist at TechInsight, I led the development of predictive models to optimize customer segmentation strategies from 2010 to 2013.
2. At Analytix Solutions, I spearheaded the implementation of machine learning algorithms for fraud detection in financial transactions between 2014 and 2017.
3. Serving as the Lead Data Scientist at InnovateData, I designed and deployed natural language processing solutions for sentiment analysis from 2018 to 2021.
4. During my tenure at InfoAnalytics, I collaborated with cross-functional teams to create interactive dashboards for real-time data visualization between 2022 and 2025.