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My Writings:

My Writings

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Skilled in:

• Data Analysis & Manipulation (Pandas, NumPy)
• Data Visualization (Matplotlib, Seaborn, Plotly)
• ML Development (Scikit-learn, XGBoost) | | | Machine Learning | - Supervised Learning (Regression, Classification)
• Unsupervised Learning (Clustering, Anomaly Detection)
• Model Evaluation (Cross-validation, Precision, Recall, F1, ROC-AUC)
• Feature Engineering, Preprocessing & Hyperparameter Tuning | | | AI / Generative AI | - LLM-based Applications & Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• Model/API Integration
• Explainable AI (SHAP)
• AI-assisted Decision Support | | | SQL | - Query Development (SELECT, Joins, CTEs, Subqueries)
• Advanced Analytics (Window Functions, Aggregations)
• Data Cleaning & Transformation
• Datetime, NULL Handling & Conditional Logic | | | Data Visualization & BI | - Power BI: Data Modeling, DAX, Power Query, Interactive Dashboards
• Python: Matplotlib, Seaborn, Plotly | | | Data & AI Prototyping | - Data Cleaning & Preparation
• Exploratory Data Analysis (EDA)
• Rapid ML Prototyping- Streamlit / FastAPI for Application & API Development | | | Tools | - Git & GitHub
• Jupyter Notebook / JupyterLab
• VS Code
• Kaggle / Google Colab | | </aside>

My Projects

Projects

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Achievements

1st Prize in Karnataka Education Datathon

We secured First Prize at Datathon 2026, organised by the Akshara Foundation × ACSEL, for our data insights and visualisation project on foundational learning in Karnataka. Working as Team Outliers, we analysed assessment data covering 13.79 lakh children across Grades 4–6, using competency-level, district, block, and gram panchayat analysis to identify where learning gaps occur and what factors may explain them. Our analysis translated these findings into actionable recommendations for improving mathematics instruction and targeted interventions.

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