Amit Pandit

Data Scientist

Bengaluru, Karnataka, India7 yrs 3 mos experience

Key Highlights

Increased sales closure rates by 1,200 bps through predictive modeling.
Automated 25+ pipelines, freeing up hours of manual work weekly.
Expertise in AI and personalization for retail growth.

Stackforce AI infers this person is a Data Scientist specializing in Retail Analytics and Machine Learning.

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Skills

Core Skills

Data AnalyticsPredictive ModelingOperational Efficiency

Other Skills

Looker (Software)MetaBaseGoogle SheetsGoogle Apps ScriptCost-Benefit AnalysisRoot Cause AnalysisAnalytical SkillsPython (Programming Language)TableauStorytellingMicrosoft ExcelStatisticsDatasetsAmazon QuickSightSQL

About

I build data systems that don't just report performance they improve it. Currently at Lulu Retail, I design personalization engines and targeted campaigns that connect the right product to the right customer at the right time. Previously, as a Senior Business Analyst at fast-scaling interior brands (Homelane, Livspace), I led analytics initiatives that: - Increased sales closure rates by 1,200 bps through predictive modeling -Improved customer satisfaction by 20% via behavioral scoring -Reduced nationwide operational wastage from 7% to 3% - Automated 25+ pipelines, freeing up hours of manual work weekly I work at the heart of the business, presenting to CXOs, partnering with sales teams, and translating models into decisions that move revenue. I started in mechanical engineering, moved into sales, and eventually found that data was the thread connecting all of it. That journey gives me something most analysts don't have, I understand the machine, the customer, and the numbers. I'm especially interested in how AI and personalization are reshaping retail and how data teams can shift from reporting history to engineering growth. If you're building at the intersection of data, retail, and growth :let's connect. 📧 amit.p257@gmail.com

Experience

7 yrs 3 mos

Total Experience

1 yr 4 mos

Average Tenure

3 mos

Current Experience

Lulu retail

Data Scientist

Jan 2026 – Present · 3 mos · Bengaluru · On-site

Nextleap

Product Management Fellow

Aug 2025 – Nov 2025 · 3 mos · Remote · Remote

Homelane

2 roles

Senior Business Analyst

May 2025 – Dec 2025 · 7 mos · Bengaluru, Karnataka, India · Hybrid

Looker (Software)Data Analytics

Business Analyst -1

Dec 2023 – May 2025 · 1 yr 5 mos · Bengaluru, Karnataka, India · Hybrid

Designed a lead segmentation model categorizing leads into Gold+, Gold, Silver, and Bronze, improving lead-to-order conversion rates by 15%.
Collaborated with teams to create a ₹1,260 crore annual revenue plan, tagging cities as opportunities or risks, focusing on high-potential areas.
Built a machine learning model with over 80% accuracy to predict meeting-to-order conversions, improving forecast precision by 20% and supporting sales strategies.
Analyzed showroom addition impact, recommending cities for expansion, projected to drive a 20% increase in regional revenue.
Developed a productivity score model for sales activities, leading to an 18% improvement in team efficiency and higher call-to-conversion rates.
Recognized for performance and entrusted with leading two critical processes: sales and revenue realization, driving strategic growth initiatives.

MetaBaseGoogle SheetsGoogle Apps ScriptCost-Benefit AnalysisRoot Cause AnalysisAnalytical Skills+4