About
Data Analyst and aspiring Junior Data Scientist with 1+ year of production experience building ML-powered solutions and business intelligence systems across D2C, eCommerce, and logistics domains. Delivered measurable outcomes: 75% reduction in manual reporting through ETL automation, ~10% monthly logistics cost recovery via anomaly detection and freight audit analytics, and a 30% decrease in overstock through demand forecasting (ARIMA + XGBoost). Proficient in Python, SQL, Scikit-learn, TensorFlow, and Power BI — equally comfortable building predictive models and translating data insights into executive-ready dashboards. Actively seeking a role where ML engineering and business analytics intersect.
Skills & Expertise (49)
Work Experience
Jr. Data Analyst
Dermatouch
Jul 2025 - Present
D2C skincare brand — analytics scope spans logistics, warehouse, sales & financial operations. Cut overstock instances by 30% by developing a demand forecasting prototype (ARIMA + XGBoost) on 12 months of SKU-level sales data, enabling data-driven procurement decisions for inventory planning. Surfaced courier billing irregularities contributing to ~10% monthly cost recovery by building an anomaly detection model to flag outlier logistics costs, feeding directly into dispute management across 7+ courier partners. Reduced manual reporting effort by 75% — saving 15+ analyst-hours per week — by engineering automated ETL workflows (Python + SQL) for extraction, cleansing, validation, and reconciliation across D2C, B2B, and Quick Commerce channels. Deployed KPI dashboards and performance frameworks tracking dispatch rates, courier SLA, warehouse throughput, and revenue metrics, enabling real-time decisions across 3+ business units on 1M+ operational records.
AI/ML & Data Analytics Intern
Reliution & 1into2
Jan 2025 - Jul 2025
Amazon marketplace analytics agency — 15+ seller accounts across diverse product categories. Eliminated manual attendance processes for 60+ users by training and deploying a facial recognition model integrated with Odoo ERP — the only production ML deployment in the team's history at that point. Improved advertising ROI by reducing ACoS 15% and increasing ROAS 20% through data-driven campaign analysis and bid optimisation recommendations across sponsored product campaigns for 10+ seller accounts. Increased average conversion rates by 10% by analysing multi-category Amazon datasets to surface high-performing products, seasonal trends, and listing optimisation opportunities across 15+ seller accounts. Cut client reporting turnaround by ~40% by building and deploying 10+ interactive BI dashboards (Tableau, Power BI, Apache Superset) that consolidated multi-account data into single-view executive reports.
Education
M.Sc. Big Data Analytics - St. Xavier's College, Ahmedabad · Gujarat University
2023 - 2025 · India
B.Sc. Mathematics - B.P. Baria Science Institute, Navsari · VNSGU, Surat
2018 - 2021 · India
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Skills (49)
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