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Data Science with less than a year in analytics and intelligent systems.
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Assessing your cultural and operational fit
Data Analyst and AI/ML Engineer with hands-on experience in end-to-end analytics and intelligent systems across retail, logistics, healthcare, and financial services. Proficient in Power BI (DAX, Star Schema), SQL (CTEs, Window Functions), Python (pandas, scikit-learn), and LLM-powered agentic workflows (LangGraph, RAG, FastAPI) - building dashboards, KPI frameworks, and production-grade AI applications that drive measurable decisions.
Garden City University
B.Tech · Computer Science & Engineering (Data Science)
August 1, 2022 – June 30, 2026
Anvaaya HealthTech Pvt. Ltd.
AI/ML Engineer Intern
January 1, 2026 – March 1, 2026
India
Agamya Cyber Tech
Data Science Analyst Intern
September 1, 2025 – November 1, 2025
India
Walmart Retail Customer Retention & Churn Analytics
June 25, 2026 – Present
Consolidated 5+ datasets into a star-schema model via Power Query ETL, enabling filtering across Region, Channel, Income Level, and Loyalty Tier. Engineered 4 DAX KPIs (Churn Rate, Repeat Purchase Rate, CLV, Promotion Participation Rate) across 4 store formats and 4 loyalty tiers; identified high-CLV at-risk customers and generated 6 targeted retention recommendations.
View ProjectFedEx Global Logistics Analysis & Delivery Optimization
June 25, 2026 – Present
Executed 7 SQL analytical tasks on a 220+ country database, resolving 5 data quality issues (duplicate removal, null imputation, date standardisation). Flagged routes with >20% delayed shipments using TIMESTAMPDIFF() and RANK() OVER PARTITION BY Warehouse_ID, producing actionable route-level performance insights.
View ProjectMorgan Stanley Financial Risk & Customer Behaviour Analysis
June 25, 2026 – Present
Cleaned 800-record financial dataset; applied dual anomaly detection (Z-Score |z|>3, IQR bounds) across 3 risk tiers to surface high-risk accounts. Validated via T-Test (p<0.05) that high-volume accounts carry higher balances, supporting data-driven client tiering decisions for relationship management.
View ProjectData Analytics Essentials
Cisco
June 1, 2026 – Present
SQL Fundamentals
Simplilearn
June 1, 2026 – Present
Financial Analytics with Python
Infosys
June 1, 2026 – Present
Power BI For Begineers
Simplilearn
June 1, 2026 – Present
GenAl for Software Development
IBM
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse academic projects across financial risk, retail analytics, and logistics, coupled with internships in HealthTech and Cyber Tech, demonstrate a broad interest and adaptability to different industry domains. This breadth of exposure suggests a good cultural fit for dynamic environments that value continuous learning and cross-domain application of skills. The focus on data-driven decision-making aligns well with a data-centric culture.
Soft Skills & Operational Fit
The candidate's project descriptions and internship experiences indicate a results-oriented approach, with a focus on quantifiable improvements (e.g., reducing configuration overhead, improving factual accuracy, eliminating manual effort). This suggests a good operational fit for roles requiring problem-solving and efficiency. The academic nature of most projects, however, means real-world operational challenges and stakeholder management experience might be limited.