Building ML solutions end-to-end: from model to integration.
7 years applying data science across finance, healthcare, and e-commerce — designing end-to-end analytics systems that turn data into measurable business outcomes.
What I do
From data to deployment.
Bridging statistical rigor and engineering execution to turn data into measurable outcomes.
Predictive & Causal Modeling
I build end-to-end ML solutions — from problem framing and modeling to validation and product integration.
Analytics Strategy & Leadership
I help businesses move from dashboards to decisions — creating KPI frameworks, AOP insights, and cross-functional alignment that deliver real value.
Responsible AI Enablement
I build evaluation frameworks for GenAI & LLM solutions — testing accuracy, bias & guardrails to ensure AI drives trustworthy impact.
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
The Stack Behind My Work
Built from my work across finance, healthcare, and retail — the larger the word, the more often I’ve applied it in real projects.
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
Featured Projects
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
Research Impact Over Time
Citations, h-index and i10-index with yearly trend.
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!
I had the pleasure of working with Nivesh, and they’re one of those fun people who combine deep technical strength with a genuinely fun and positive attitude. They approach complex problems with intelligence and creativity, and they’re always the first to offer help or share knowledge with others. Working with Nivesh made the team better, both technically and socially.
I had the chance to work closely with Nivesh on multiple Real World Evidence (RWE) studies at Mu Sigma. He built several custom R packages that streamlined key parts of our analysis workflow. Tasks that once took hours were reduced to minutes, and those tools are still being used by the team even five years later. His technical depth and problem solving mindset consistently improved the team’s output and efficiency. Beyond his technical skills, Nivesh was one of the most collaborative teammates I have worked with. He actively contributed to cross learning sessions, shared new methods and tools, and helped others upskill in R and data science best practices. His mix of technical rigor and team first attitude made a lasting impact on the group.
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!
I had the pleasure of working with Nivesh, and they’re one of those fun people who combine deep technical strength with a genuinely fun and positive attitude. They approach complex problems with intelligence and creativity, and they’re always the first to offer help or share knowledge with others. Working with Nivesh made the team better, both technically and socially.
I had the chance to work closely with Nivesh on multiple Real World Evidence (RWE) studies at Mu Sigma. He built several custom R packages that streamlined key parts of our analysis workflow. Tasks that once took hours were reduced to minutes, and those tools are still being used by the team even five years later. His technical depth and problem solving mindset consistently improved the team’s output and efficiency. Beyond his technical skills, Nivesh was one of the most collaborative teammates I have worked with. He actively contributed to cross learning sessions, shared new methods and tools, and helped others upskill in R and data science best practices. His mix of technical rigor and team first attitude made a lasting impact on the group.
"In God we trust; all others must bring data."
- W. Edwards Deming