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akansha0724/README.md

Hi, I'm Akansha Singh 👋

Final-year student  ·  Data Analytics  ·  Finance · Healthcare · Consulting


About Me

  • 📊 Final-year student with a biotech mind and a data analyst's toolkit — 10 shipped projects across finance, healthcare, and consulting analytics, 900K+ records analysed
  • 🎓 B.Tech Biotechnology, Amity University — domain knowledge in life sciences that gives me an edge in healthcare and R&D analytics
  • 🏥 Currently a Research Intern at IIT (ISM) Dhanbad (SRIS 2026)
  • 🔬 2+ years in the Systems Biology & Data Analytics Lab, Amity Institute of Biotechnology
  • 🤖 Building end-to-end analytics — warehouses, risk models, forecasting, and RAG/GenAI tools — not just notebooks
  • 💼 Targeting roles in financial services, healthcare analytics, and management consulting
  • 📫 Reach me at akansha0724@gmail.com

What I Bring to the Table

Business thinking  →  I frame problems as decisions, not just models
Domain knowledge   →  Biology + healthcare gives me an edge in life sciences analytics
Technical depth    →  End-to-end pipelines from raw data to actionable insight
Communication      →  Translating complex analysis into clear business recommendations

Tech Stack

Analytics & Data

Python SQL Excel Pandas NumPy

ML & Insights

scikit-learn SHAP Matplotlib Seaborn

Reporting, GenAI & Deployment

Excel Flask Streamlit OpenCV Git


Flagship Projects

Project Problem Outcome
📈 Mutual Fund Analytics Warehouse End-to-end MySQL star-schema warehouse over 100K+ rows of AMFI-style fund data — ETL, data-quality gates, Excel dashboard 102 automated tests, 58 data-quality checks, all passing · Direct plans cost 0.78% vs 1.35% Regular TER · MySQL, Python ETL, pytest
💳 Credit Default Risk Analytics Predict credit-card default on 30K real clients and turn the model into a cost-optimal approve/decline decision — the core job at a card issuer PR-AUC 0.56 vs 0.22 baseline, cost-based threshold cuts expected loss 26%, catches 75% of defaulters · SHAP-explained · MySQL, scikit-learn, SHAP
🩺 30-Day Readmission Risk Model Predict 30-day hospital readmission on 101,766 real patient encounters — SQL cohort analysis, hypothesis testing, risk ranking ROC-AUC 0.64, top 30% of patients captures 48% of all readmissions · MySQL, Python, scikit-learn
💬 FundGPT — RAG over Fund Factsheets Retrieval-augmented Q&A over 40 fund factsheets generated from the warehouse above — "which fund has the lowest expense ratio?" gets a cited answer 100% retrieval hit-rate@1 on a 20-question eval · zero-cost structured answer engine + optional Claude synthesis
🔍 Healthcare Claims FWA — Payer Audit Prioritization Rank 200+ NY hospitals by billing-outlier risk across 111,155 real claims lines and screen the provider network against the 83,464-entry federal exclusion list — the payment-integrity workflow at Optum, a Blue plan, or CMS 6 of 200 facilities flagged by both a peer-benchmark detector and Isolation Forest · 83K-provider OIG exclusion screen · MySQL, scikit-learn

More Projects

Project Problem Outcome
🏥 Hospital Readmissions Risk Analysis Analyse 64K CMS records across 4,239 hospitals — identify which conditions, states, and hospitals drive 30-day readmission risk 15-pt protocol gap (16.3%–31.3%) on heart failure readmissions, hospital size shown to have negligible effect · MySQL · Python · Excel dashboard
📉 Equity Settlement Risk Analysis Analyse 507K real SEC settlement failure records — identify where operational risk concentrates and when stress events occur $147B March stress event identified, ETF concentration risk, chronic vs spike classification · MySQL · Python · Excel
💊 Medical Cost Forecasting Forecast 10-year US healthcare spending across 6 CMS service lines, benchmarking Prophet vs ARIMA vs Holt-Winters No single model dominates — Prophet wins on stable series, ARIMA on COVID-disrupted lines, Holt-Winters on slow-moving series · MySQL · Python · Excel
🍄 Fungal Pathogenicity Predictor Classify fungal disease risk across 9 pathogen types from trait data — relevant to pharma R&D and agricultural risk 92.2% accuracy, SHAP-driven feature insights, production-ready sklearn pipeline
📊 Student Performance Predictor Predict academic outcomes and surface early intervention signals Flask dashboard with SSI scoring and recommendations

Areas of Interest

  • 📈 Financial Analytics — risk modelling, portfolio analysis, business performance dashboards
  • 🏥 Healthcare Analytics — patient outcomes, operational efficiency, clinical trial data
  • 🧩 Consulting Analytics — market analysis, KPI frameworks, data-driven strategy
  • 🤖 GenAI in Analytics — RAG systems, LLM-powered reporting, automated insight generation

GitHub Stats


Open to data analyst roles in finance, healthcare, and consulting — see the full portfolio for the details.

Pinned Loading

  1. equity-settlement-risk-analysis equity-settlement-risk-analysis Public

    Analyzes 507K real SEC settlement-failure records to locate where operational risk concentrates and when stress events hit — surfaced a $147B March stress event and top-10 concentration risk.

    Python

  2. hospital-readmissions-risk-analysis hospital-readmissions-risk-analysis Public

    SQL + Python analysis of 64K CMS hospital record. Identifies readmission risk drivers across conditions, states, and hospitals, with an Excel dashboard and executive summary.

    Python

  3. Fungal-Pathogenicity-Predictor Fungal-Pathogenicity-Predictor Public

    Classifies fungal disease risk across 9 pathogen types from ecological trait data — 92.2% accuracy with SHAP-driven feature insights. Applicable to pharma R&D and agricultural risk.

    Python

  4. healthcare-claims-fwa healthcare-claims-fwa Public

    Ranks 200+ NY hospitals for audit by billing-outlier risk across 111K real claims lines, and screens the provider network against the 83K-entry federal exclusion list — the payment-integrity workfl…

    Python