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Dongari
Data Scientist with 2+ years in AI and Data Science
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Competencies
Utilized Python extensively for data analysis, machine learning, and NLP projects.
Applied ML and AI techniques for model building, feature engineering, and optimization.
Created insightful dashboards and reports using Power BI, MS Excel, and libraries like Matplotlib and Seaborn.
Managed data storage and retrieval using MongoDB and MySQL.
Implemented sentiment analysis, NLP pipelines, and deep learning models.
Education
Summary
Dedicated data scientist with experience in AI, NLP, and data analysis. Skilled in building and optimizing models, delivering actionable insights, and enhancing system performance.
Key Achievements
- Improved sentiment anomaly detection accuracy by 17%.
- Reduced NLP pipeline preprocessing time by 15% and runtime by 12%.
- Built an AI recommendation system that increased user engagement by 22% and decreased churn by 10%.
Experience
Data Science Intern
Implemented sentiment anomaly detection (+17% accuracy), Engineered faster NLP pipelines (-15% preprocessing time, -12% runtime).
AI Engineer
Built an AI recommendation system that boosted user engagement by 22% and reduced churn by 10%., Enhanced model accuracy by 18% using improved feature engineering and optimization.