Data Scientist with 2+ years of hands-on experience using Python, SQL, and Machine Learning to drive business decisions. I build automated ETL pipelines, forecasting models, customer segmentation solutions, and BI dashboards — with measurable outcomes including 40% faster decision turnaround and 25% reduction in stockouts.
Currently working as Data Analyst at Kavita Women Wear, applying analytics and ML to Indian fashion marketplace operations across Myntra, Amazon, and Flipkart. Actively seeking Data Scientist opportunities.
- 🔭 Working on: Sales & returns prediction ML pipeline, BI dashboards
- 🌱 Learning: Advanced ML, Deep Learning, MLOps
- 🎯 Goal: Full-time Data Scientist role
- 📍 Location: New Delhi, India
Production-level full-stack web app for an e-commerce fashion brand. Built to turn marketplace sales, inventory, returns, ads, and category data into executive KPIs, replenishment decisions, anomaly alerts, and downloadable business reports.
Programming & Querying
Machine Learning & Statistics
Visualization & BI
Data Engineering & Tools
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Production-grade ML pipeline for SKU-level sales and return-rate forecasting in Indian fashion e-commerce. Includes festival-aware demand features, synthetic demo data, a Streamlit app, CLI workflows, pytest coverage, and a generated PDF output report.
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Production-level full-stack BI platform for fashion marketplace operations. Ingests sales, inventory, returns, ads, and category data, then turns them into executive KPIs, replenishment plans, anomaly alerts, and downloadable reports.
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NLP-powered AI command center integrating APIs, automation workflows, and real-time analytics through a conversational interface. Centralizes multi-source insights and automates operational reporting.
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Self-service Streamlit web app for automated EDA, visualization, and time-series forecasting from user-uploaded datasets. Delivers instant statistical summaries and predictive insights.
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End-to-end churn prediction pipeline using XGBoost, Random Forest, and Logistic Regression with SHAP-based explainability. Achieved 87% accuracy and 0.89 ROC-AUC.
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Retail demand forecasting application using Prophet and ARIMA. Achieved 8–12% MAPE, enabling interactive demand planning through a real-time Streamlit dashboard.
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| Credential | Issuer | Year | |
|---|---|---|---|
| 🏅 | IBM Data Science Professional Certificate | Coursera | 2026 |
| 🏅 | Introduction to Data Science & Data Analytics | Cisco | 2026 |
| 🏅 | Data Analytics Job Simulation | Deloitte | 2025 |
| 🎓 | Diploma in Data Science & Data Analysis | Data Einstein | 2025 |
| 📚 | Bachelor of Computer Applications (BCA) | Amity University | Pursuing |
Jan 2024 – Present │ 📍 Kavita Women Wear
│ Data Analyst
│ Python · SQL · Prophet · ARIMA · Power BI · Tableau
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Mar 2022 – Dec 2023 │ 📍 Kavita Women Wear
│ E-Commerce Manager → Transitioned internally to Data Analyst
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Jun 2019 – Mar 2022 │ 📍 Kazo Fashion
│ Assistant E-Commerce Manager
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May 2015 – Jun 2019 │ 📍 Ikon Retail (Latin Quarters)
│ Operations Analyst (E-Commerce)
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Apr 2013 – May 2015 │ 📍 Purys Enterprises
│ Data & Marketplace Operations Executive
Open to Data Scientist opportunities — Let's connect!