Dedicated data scientist with experience in AI, NLP, and data analysis. Skilled in building and optimizing models, delivering actionable insights, and enhancing system performance.
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.
Coreline
Implemented sentiment anomaly detection (+17% accuracy), Engineered faster NLP pipelines (-15% preprocessing time, -12% runtime).
Workcohol
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.
Bachelor of Technology
Intermediate
SSC
Implemented sentiment analysis, NLP pipelines, and deep learning models.