About Me
Data Analyst and AI Engineer with expertise in SQL, Python, and statistical modeling finishing a B.Tech in CSE (AI & ML) at VIT Bhopal. Experience includes engineering ML data models at Taj Cement that reduced manual analysis processing time by 20% across 3 business units.
Skills & Technologies
Work Experience
IT Intern
Analyzed 100,000+ operational records across 3 internal departments, identifying key bottlenecks and improving workflow throughput by 15%. Implemented Random Forest models and time-series anomaly detection algorithms, cutting manual data processing time by 20%. Engineered SQL pipeline scripts used by 4 cross-functional teams, reducing operational query retrieval latency by 25%.
Projects
AI Career Intelligence
Architected relational SQL schemas to clean and structure 25,000+ unstructured job postings and candidate profiles. Executed Exploratory Data Analysis (EDA) with TF-IDF vectorization and cosine similarity, achieving an 88% precision score in skill gap identification. Optimized SQL window functions and aggregation queries, increasing candidate profile parsing speed by 35%.
Fraud Detection & Financial Risk Analytics
Queried 50,000+ financial transaction logs using complex SQL JOINs to isolate top 5% high-risk financial anomalies. Applied SMOTE oversampling techniques to resolve a 95:5 class imbalance, elevating model recall rate from 62% to 91%. Trained Isolation Forest and Logistic Regression models, reducing false-positive financial risk flags by 18%.
Smart Retail Analytics Platform
Built an automated retail pipeline aggregating 10,000+ customer transaction logs, inventory metrics, and revenue ratios. Executed RFM (Recency, Frequency, Monetary) SQL queries to segment 4 customer tiers, identifying top 12% high-value revenue drivers. Designed interactive dashboards tracking 8 key retail KPIs, improving stock demand forecasting accuracy by 22%.
Education
B.Tech
Computer Science