Mohit Bhatnagar

Lead Applied Data Scientist at Dunnhumby

Based in Hyderabad, India

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Seniority

Staff

Department

Information Technology

Location

Hyderabad

Industry

Technology, Information and Media

Company size

3K

Contact information

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Email

1 credit

m•••••••@dunnhumby.com

Phone

5 credits

+91 ••• •••• ••••

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Background

About Mohit Bhatnagar

Data Scientist | PySpark, Python, SQL Expert | Retail Analytics & Predictive Modeling Leader I am a passionate and performance-driven Data Scientist, specialized in delivering end-to-end analytics and machine learning solutions that fuel decision-making and innovation—primarily within the retail sector. With deep expertise in PySpark, Python, and SQL, I bring a robust mix of technical rigor and strategic insight to solve complex business problems and unlock growth opportunities. Over the years, I’ve designed and deployed scalable predictive models, advanced statistical frameworks, and data-driven product strategies that have delivered measurable value across marketing, pricing, customer engagement, and operational excellence. My analytical toolbox includes: Predictive Analytics & Statistical Modeling – Building robust forecasting models and customer behavior analyses to inform strategy. 🧠 Machine Learning & Deep Learning – Implementing AI solutions using neural networks and CNNs for tasks such as image processing and behavioral classification. Campaign Design & Optimization – Designing data-driven campaigns that enhance targeting, uplift, and marketing ROI. Segmentation, Churn, & Propensity Modeling – Profiling high-value segments, predicting customer churn, and identifying retention levers. 🧾 Survey & Text Analytics (NLP) – Extracting sentiment and insights from unstructured data to enrich customer understanding. Price Optimization & Elasticity Analysis – Modeling competitive pricing strategies to balance value perception and profitability. Currently at Dunnhumby, I am responsible for transforming massive retail data ecosystems into actionable insights that improve customer experience, enhance pricing and promotional effectiveness, and align with chain-level strategic KPIs. I believe in the transformational power of data and strive to combine domain expertise, technical excellence, and storytelling to bridge the gap between raw data and business impact. I continuously explore emerging technologies and refine my craft to stay ahead in the evolving analytics landscape. Let’s connect if you’re interested in discussing data science, retail transformation, or how analytics can drive business impact.

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