Akash Pathak

End-to-end pipeline on 15,000 payment transactions — KPIs, MoM trends, merchant intelligence, RFM segmentation, fraud signals, and a live Flask dashboard with 12 REST APIs.

• 🔴 Identified ₹1.45Cr at-risk volume via 3 fraud signal detectors
• 👥 RFM segmented 2,982 users → Champion · Loyal · At Risk · Dormant
• 📈 30+ SQL queries — Window Functions, CTEs, Cohort Retention
• 📊 9-panel dark dashboard · 12 REST API endpoints · all 200 OK

ML pipeline on 50,000 transactions with extreme class imbalance (0.174% fraud). 4 models trained and benchmarked — Random Forest achieves 98.14% AUC-ROC.

• 🤖 Random Forest → 98.14% AUC-ROC (best model)
• ⚖️ Handled imbalance via class_weight="balanced"
• 🔍 Feature engineering: log(Amount), Amt_Z, Hour
• 🚨 3 SQL fraud rules: Probe, Velocity, Composite Risk Score

Full customer analytics pipeline on 50,000 customers & 200,000 orders (₹69.7Cr revenue) — RFM segmentation, cohort retention, LTV modeling, churn prediction.

• 👥 KMeans RFM → Champion · Loyal · At Risk · Dormant
• 🔄 12-cohort × 6-month retention heatmap — Month 3 critical drop-off
• 💰 LTV analysis by segment, city, channel & age group
• 📊 10 dark-theme charts · 12 API endpoints · all 200 OK

CFO-level MIS across 24 months & 8 departments — P&L waterfall, EBITDA bridge, budget variance RAG status, cash flow analysis & YoY comparison.

• 💰 FY2024 Revenue ₹13.07Cr | YoY +16.9% growth
• ⚡ EBITDA ₹1.71Cr (13.1% margin) | PAT ₹1.03Cr
• 🎯 Budget vs Actual — RAG status for 8 departments
• 🏛️ P&L waterfall + EBITDA bridge + 12 financial charts

On-chain analytics across 6 blockchains · 500K transactions · $2.33B volume — OHLCV price action, whale detection, wallet segmentation, DeFi TVL & cross-chain correlation.

• ₿ 6-chain OHLCV + BTC candlestick chart (365 days)
• 🐋 1,500 whale txns detected — disproportionate volume control
• 🔗 Cross-chain correlation matrix across 6 networks
• 🏦 DeFi TVL tracked across 8 protocols ($25B+ ecosystem)

End-to-end AI job-search platform: resume import → AI analysis (7 scores) → ATS optimization → job matching (1-100) → cover letter generation → full application tracking with CSV export.

• 🔍 AI resume analysis — ATS, skills, quantification, keywords, formatting scores
• 🎯 Job matching 1-100 — skill overlap, title similarity, experience relevance
• ✍️ Company-specific cover letters — generated from resume only, no fabrication
• 📋 Application tracker — Saved → Applied → Interview → Offer → CSV export