Navin Kodam

Data Scientist

Mumbai, Maharashtra, India5 yrs experience

Highly StableAI Enabled

Key Highlights

Expert in machine learning and data-driven decision making.
Proven track record in predictive modeling across industries.
Strong foundation in data science and analytics tools.

Stackforce AI infers this person is a Data Science expert with experience in Real Estate and Healthcare analytics.

Contact

Skills

Core Skills

Data ScienceMachine Learning

Other Skills

Gen AIPySparkPython (Programming Language)R (Programming Language)DataikuDataiku DSSSQLAzure Databrickssparksqlrevenue growth managementmarket mix modellingStatistical Data AnalysisPricing modelMachine Learning AlgorithmsEDA

About

Data science and machine learning enthusiast, with experience of building classification & clustering solutions to drive data-driven decisons. My interests also include working around Deep Learning projects especially in face emotion recognition. I am keen to work on projects that offer learning opportunities and provide a platform to hone my skills and knowledge.

Experience

5 yrs

Total Experience

2 yrs 3 mos

Average Tenure

5 mos

Current Experience

Fractal

Data Scientist

Dec 2025 – Present · 5 mos · Hybrid

Gen AIPySparkData Science

Tiger analytics

3 roles

Data Scientist

Jan 2025 – Dec 2025 · 11 mos

Real Estate (Lease Rent Prediction): Built regression and probability models using property, customer, inflation, and MLA data to forecast lease amendment rents, enabling clients to negotiate with data-backed insights.
Health Insurance (Smart Claims/Fraud Analytics): Developed claim-level KRIs (doctor/pathology/radiology cost, LOS, total cost) and applied ML/statistical models with decision engine frameworks to detect fraud and provider–member collusion.
Delivered actionable insights across domains, reducing financial leakage and improving decision-making efficiency for business stakeholders.

Python (Programming Language)R (Programming Language)Machine Learning

Senior Analyst - Data science

Promoted

Aug 2023 – Feb 2025 · 1 yr 6 mos

Lease Rent Prediction
Designed regression models at market and sub-market levels using property, customer, inflation, and MLA data to predict future lease amendment rents with high accuracy (validated using MAPE).
Incorporated inflation-adjusted assumptions and probability distributions (5–95%) via logistic regression, enabling scenario-based rent forecasts.
Delivered actionable rent predictions and negotiation probability ranges, empowering clients to optimize lease discussions with data-driven insights.

DataikuDataiku DSSData Science

Analyst - Data Science

Mar 2022 – Aug 2023 · 1 yr 5 mos

Built MMM models using media (Digital, TV, OOH), Nielsen, and macroeconomic data to measure channel effectiveness, optimize marketing spend, and capture lag effects with Adstock transformations.
Applied Multiple Linear Regression & ROI analysis to identify high-performing platforms (e.g., YouTube > TikTok) and recommended optimized budget allocations across channels.
Delivered business insights on incremental sales drivers, channel elasticity, and ROI, influencing strategic marketing investment decisions.

R (Programming Language)SQLData Science