About
Highly analytical and results-driven Data Scientist specializing in Machine Learning, AI, and Generative AI, currently pursuing a B.Tech at IIT Roorkee. Proven ability to leverage Python, SQL, and advanced ML techniques to transform complex data into actionable insights, evidenced by an internship where reporting efficiency improved by 50% and multiple AI-powered projects. Eager to apply expertise in developing innovative data-driven solutions and contributing to cutting-edge AI advancements.
Work
Remote, N/A, India
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Summary
Spearheaded data analysis and visualization efforts for a non-profit, leveraging Python and SQL to derive actionable insights and enhance reporting efficiency.
Highlights
Processed and analyzed data for over 1,200 beneficiaries using Python and SQL, delivering concise summary reports that facilitated strategic, data-driven decision-making for key organizational stakeholders.
Developed interactive Power BI dashboards, linked to MySQL databases, to track donations, volunteer hours, and student enrollment, boosting reporting efficiency and data accessibility by approximately 50%.
Conducted comprehensive Exploratory Data Analysis (EDA) with Python (Pandas, Matplotlib, Seaborn) to uncover key behavioral and demographic factors impacting user engagement patterns.
Experimented with Scikit-learn ML pipelines, including classification and clustering, to model and predict user engagement, providing insights for targeted outreach strategies.
Awards
Top 1% JEE Advanced Rank Holder
Awarded By
JEE Advanced
Secured an All India Rank of 7229 in JEE Advanced, demonstrating exceptional analytical thinking, problem-solving, and high performance under pressure in one of the world's most competitive exams.
National Mental Math Champion
Awarded By
Abacus 10th National Competition
Championed in the Abacus 10th National Competition on Japanese Sorobon and Mental Maths, showcasing advanced mental calculation abilities.
Global Rank 68 in Codechef Starters 188 (Rated)
Awarded By
Codechef
Achieved a global rank of 68 (Top 0.5%) among 15,000+ participants in algorithmic programming in Codechef Starters 188, demonstrating strong competitive programming skills.
Languages
English
Skills
Programming & Scripting
Python, SQL (MySQL), C++, NumPy, Pandas, scikit-learn, SHAP, Data Structures & Algorithms.
Machine Learning & AI
Supervised Learning, Unsupervised Learning, Regression, Classification, Gradient Boosting, Clustering, Dimensionality Reduction, Feature Engineering, Handling Imbalanced datasets, Hyperparameter Tuning, Pipeline Building, TF-IDF Embeddings, Large Language Models (LLMs), Prompt Engineering, Model Evaluation & Validation, Neural Networks.
Data Analysis & Statistical Modeling
EDA, Hypothesis Testing, Root Cause Analysis, Anomaly Detection, Cross-Validation.
Data Visualization & Dashboarding
Matplotlib, Seaborn, Plotly, Power BI, MS Excel, DAX, Power Query.
Database & ETL
SQL, MySQL (Window Functions), MongoDB, Data Modeling, Handling Structured and Unstructured Data.
Tools & Platforms
Jupyter Notebook, Google Colab, Streamlit, GitHub, VS Code, PyCharm, Microsoft Office Suite.