Spearheaded the organization of technical events, driving increased engagement and fostering skill development within the club.
Highlights
Organized and led 5+ technical events, successfully increasing member engagement by 50% through strategic planning and execution.
Coordinated event logistics and operations for 200+ participants during the annual university fest, ensuring smooth execution and attendee satisfaction.
Highlights
Successfully managed logistics and operational aspects for the annual university fest, accommodating over 200 participants.
Python, Java, C, SQL.
TensorFlow, Scikit-learn, Pandas, Numpy, Matplotlib, Seaborn, SHAP, OpenCV, Streamlit, PyCaret, LightGBM, XGBoost, GridSearchCV, Transformers, PyTorch, Random Forest, Folium, KMeans, GeoPandas.
SQL, MySQL, SQLite, MongoDB, Power BI, Tableau, Excel, Figma, Git.
Exploratory Data Analysis (EDA), Data Visualization, Power BI, Tableau, Streamlit, Matplotlib, Seaborn, Folium.
Predictive Modeling, Classification, Natural Language Processing (NLP), Sentiment Analysis, Model Interpretability, Geospatial Analysis, Public Health Analytics, Data-driven Strategies.
Summary
Built a predictive early-warning system to classify diseases from symptoms and visualize outbreak hotspots, addressing inefficient public health planning in India.
Summary
Developed and deployed an end-to-end NLP model to quantify customer sentiment from thousands of unstructured text reviews and provide transparent, word-level explanations for predictions.
Summary
Created a machine learning model and interactive Power BI dashboards to classify and visualize at-risk users, addressing high customer churn for a telecom provider.
Summary
Developed a predictive model to optimize sales outreach by scoring and ranking over 300,000 unverified suppliers for efficient targeting, addressing wasted effort on low-potential leads.