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Data Science with less than a year in Exploratory Data Analysis & Machine Learning
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Data Analyst (B.Tech AI & ML, 2026) with experience in exploratory data analysis, campaign-style reporting, and translating raw data into actionable insights. Built end-to-end projects using SQL, Python, and Power BI covering sales performance analysis, customer churn modeling, and KPI dashboard design. Comfortable collecting and preparing data from multiple sources, building dashboards, and presenting findings clearly to non-technical stakeholders.
Indore Institute of Science and Technology
B.Tech · Artificial Intelligence & Machine Learning
August 1, 2022 – June 30, 2026
mekMihans
Data Science & ML Intern
September 1, 2025 – January 1, 2026
India
AI-Powered Healthcare Assistant
June 1, 2026 – Present
Trained and compared Logistic Regression, XGBoost, and SMOTE+XGBoost on 96K+ patient records; XGBoost performed best with 97% accuracy and 95% precision. Applied SHAP TreeExplainer for model explainability, identifying HbAlc level and blood glucose as top risk drivers. Built medical chatbot using Gemini API to match symptoms across 40+ diseases with precaution lookup and fallback handling. Deployed production Streamlit app on cloud with secrets management, serving live predictions at a public URL.
Blinkit Sales Dashboard
June 1, 2026 – Present
Cleaned and analyzed 9K+ transaction records across product categories and outlet types using Power BI and SQL. Built interactive dashboard tracking sales KPIs by outlet size and category, surfacing top revenue-driving segments. Documented findings as inventory and stocking recommendations for business stakeholders.
Zomato Restaurant Data Analysis
June 1, 2026 – Present
Processed 9K+ restaurant records across 15+ Indian cities to identify pricing and rating patterns. Visualized customer preference trends in Power BI, surfacing 3 actionable insights for restaurant targeting strategy.
View ProjectCustomer Churn Analysis
June 1, 2026 – Present
Analyzed 50K+ customer records, isolating 12 behavioral features with highest churn correlation. Compared Random Forest vs. Logistic Regression, achieving 89% recall on high-risk churn segment. Translated findings into a documented action plan with 3 priority customer segments for retention targeting.
NVIDIA Deep Learning Fundamentals
NVIDIA
June 1, 2026 – Present
ISRO Remote Sensing & Geospatial Data Analysis
ISRO
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a strong inclination towards practical application of data science and machine learning, aligning well with a results-oriented culture. The variety of projects and technologies used (Python, SQL, Power BI, XGBoost, Scikit-Learn, FastAPI, Streamlit, Gemini API) indicates a willingness to learn and adapt, which is beneficial for cultural fit in dynamic environments. The certifications in NVIDIA Deep Learning and ISRO Remote Sensing show a commitment to continuous learning and staying updated with industry trends.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to translate technical findings into actionable business insights and recommendations, suggesting good problem-solving and communication skills. The independent design of REST API endpoints and ownership of data collection tasks during the internship point to proactivity and responsibility. The diversity of projects (healthcare, sales, restaurant, churn analysis) suggests adaptability and a broad interest in applying data science to different domains.