Data to Decisions to Impact.
7 years across finance, healthcare, and e-commerce. I build measurable analytics systems that translate data into outcomes.
$27M+ value created
6 peer-reviewed papers
7 yrs in analytics



What I do
Applied data, built to ship
Combining statistical rigor with engineering execution to turn data into measurable outcomes.
Predictive & Causal Modeling
Building interpretable ML pipelines for forecasting, uplift, and counterfactual analysis.
Analytics Strategy & Leadership
Translating data insights into business roadmaps, KPIs, and measurable impact alignment.
Responsible AI Enablement
Evaluating GenAI outputs, defining guardrails, and designing measurement frameworks.
Experience
Where I’ve built impact
2023–2025
Société Générale
Lead Data Scientist

Impact
- Engineered liquidity forecasting pipelines (ARIMA/ARDL) with CI/CD and automated drift detection—established a continuously learning financial model ecosystem.
- Delivered ~$27M Net Banking Income uplift over 2 years through improved liquidity allocation and early-warning signals.
- Built ML + LLM RFP-response automation reducing turnaround time and freeing analysts for higher-value tasks.
2021–2022
Flipkart
Senior Business Analyst

Impact
- Designed gradient-boosting and sensitivity frameworks linking customer experience to operations metrics—made CX quantitatively measurable.
- Drove NPS improvement (+8 p.p.) and ~$5M business value through actionable insights into delivery and incentive levers.
- Partnered with product and ops teams to institutionalize data-to-action loops in quarterly business reviews.
2018–2021
Mu Sigma (Ethicon / J&J client)
Decision Scientist

Impact
- Led HEOR and real-world evidence analytics on surgical-site infection and wound-care outcomes across 1M+ patient records.
- Co-authored 6 peer-reviewed publications (45+ citations) driving evidence-based changes in global surgical guidelines.
- Supported COVID-19 vaccine-trial analytics, building reproducible dashboards for safety and efficacy monitoring.
Skills
Breadth with spikes where it counts
My Story in Keywords
Built from my résumé, essays, and LinkedIn — the larger the word, the more it defines my professional journey. Hover to explore categories.
Strengths at a Glance
Visual snapshot of my proficiency across analytics, engineering, and strategy. Toggle to view evolution by role or time.
Where Skills Meet Impact
Each bubble represents a project — size shows impact, color shows domain. Hover for outcomes, click for project details.
Projects
Selected work
Professional Projects
CX Driver Model
Customer experience driver modeling for NPS in large-appliance delivery and installation; identifies operational levers via feature sensitivity and explains impact on customer satisfaction.
GenAI Evaluator
Evaluate AI-generated answers against banking SME ground-truth using embeddings, rubric scores, and error taxonomies.
Liquidity Forecasting
ARIMA/ARDL-based liquidity forecasting with Kedro pipelines and Streamlit reporting, improving liquidity planning and decisioning.
Market Parser
ML-powered text parser converting trading jargon across equities/options/bonds into structured fields with high precision.
GitHub Projects
ESG Dashboard
Streamlit-based ESG analytics dashboard: explore company and sector sustainability scores with filters, trends, and geo views (see repo for details).
Liquidity Forecasting
ARIMA/ARDL-based liquidity forecasting with Kedro pipelines and Streamlit reporting dashboards.
Minutes of Meeting Generator
Generate minutes from transcripts with concise summaries, action items, and follow-ups.
Data for Good
Evaluation toolkit inspired by DataCamp's Data4Good 2025: define rubrics, automate scoring of submissions, assess fairness and robustness, and publish transparent leaderboards.
Publications
Peer reviewed publications
Surgical Site Infection After Cesarean Delivery
Wound Closure Methods in Cardiac Surgery
COVID-19 Mortality and Hospital Stay Trends
Changing COVID-19 Treatment Patterns in 2020
Skin Closure Methods in Spinal Fusion Surgery
Surgical Stapler Comparison in Bariatric Surgery
Recommendations
What colleagues say
Nivesh worked with me at the very beginning of his career and even at that early stage he showed incredible maturity in the work he did. He could see the bigger picture, beyond what he was tasked with and as a result he brought valuable ideas to the table. He's a quick study and onboarded onto any new project with ease. I have seen him raise the bar for himself repeatedly. He was a treasured teammate and I had a great time working with him!
Nivesh worked with me at the very beginning of his career and even at that early stage he showed incredible maturity in the work he did. He could see the bigger picture, beyond what he was tasked with and as a result he brought valuable ideas to the table. He's a quick study and onboarded onto any new project with ease. I have seen him raise the bar for himself repeatedly. He was a treasured teammate and I had a great time working with him!
“In God we trust; all others must bring data.”
— W. Edwards Deming