BTech undergraduate with a minor in AI & ML with hands-on experience in machine learning, Power BI dashboards, and data analysis; seeking Data Analyst or Data Science internship roles.
Completed intensive training in Data Science, EDA, Power BI, and Machine Learning., Cleaned and analyzed 40K+ records to improve data accuracy and usability., Built interactive Power BI dashboards with DAX measures, KPIs, filters, and slicers., Developed and deployed a Movie Recommendation System using content-based filtering with Streamlit.
Completed intensive training in Data Science, EDA, Power BI, and Machine Learning.
Cleaned and analyzed 40K+ records to improve data accuracy and usability.
Built interactive Power BI dashboards with DAX measures, KPIs, filters, and slicers.
Developed and deployed a Movie Recommendation System using content-based filtering with Streamlit.
Trained churn prediction models using Logistic Regression, Random Forest, and XGBoost. ․ Performed EDA and feature engineering; evaluated models using F1-score and recall: achieved ~95% accuracy. Implemented the interface using Streamlit.
Built a content-based recommendation engine using Python and Scikit-learn. ․ Performed feature extraction and cosine similarity analysis. ․ Deployed the application using Streamlit for real-time recommendations
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