Shivin Mehta

Business Development Executive

Jaipur, Rajasthan, India1 yr 8 mos experience

Key Highlights

Expert in data-driven decision-making.
Proven track record in e-commerce analytics.
Skilled in building predictive models.

Stackforce AI infers this person is a data-driven analyst specializing in e-commerce analytics and product growth.

Contact

Skills

Core Skills

Data AnalysisBusiness AnalyticsProblem Solving

Other Skills

SQLStatistical Data AnalysisBusiness AnalysisApache ZeppelinApache SparkMetaBaseMicrosoft ExcelMATLABBeautiful SoupRequestsSeleniumPlotlyMatplotlibNumPyPandas

About

Analyst with a focus on Data Science and Product growth, skilled in SQL, Python, and building predictive models. Experienced in taking 0-1 products from concept to scale at a high-growth e-commerce startup. I specialize in leveraging machine learning and statistical modeling to solve complex business problems, from improving data accuracy to optimizing product performance. Passionate about building intelligent systems that drive automated, data-driven decision-making.

Experience

1 yr 8 mos

Total Experience

1 yr 8 mos

Average Tenure

1 yr 8 mos

Current Experience

Meesho

4 roles

Senior Business Analyst

Promoted

Jan 2026 – Present · 4 mos

Working within the product quality charter, leveraging product analytics to build and iterate data-driven solutions that reduce expectation–reality mismatch (ERM) and strengthen key decision-to-buy (DTB) signals, improving user trust and purchase confidence.

Business Analyst II

Jan 2025 – Dec 2025 · 11 mos

Led analytics for the 0–1 charter of Heavyweight products (5kg+), driving order contribution from 0 to over 1 percent through targeted discovery experiments and in-depth analysis of shipping and weight data inaccuracies.
Drove 70 bps NMVc uptick in Heavyweight and demonstrated PMF in Large Furniture.
Achieved a 500 bps reduction in Heavyweight RTO by identifying fraudulent users and low-performing pincodes, and implementing targeted visibility controls.
Built name based analytical weight extraction model, improving product weight accuracy from 3–40% to 70%+ across key weight dependent categories.
Identified pricing leakages through deep dives on central Pricing models and processes, driving org-wide fixes
Developed a Category Control Tower to enhance analytics productivity, streamline efficiency, and enable self-serve
analytics capabilities for cross-functional stakeholders.

SQLData AnalysisStatistical Data AnalysisBusiness AnalyticsBusiness Analysis

Business Analyst I

Jul 2024 – Dec 2024 · 5 mos

Led analytics for Home and Accessories categories, contributing to 30% of total platform orders.
Led analytics for Meesho’s Mega Blockbuster Sale 2024, setting a new record with over 15 crore orders on Day 1.
Spearheaded analytics for the launch of high-ASP electronics (smartphones, TVs, ACs, fridges, washing machines) on
Meesho for the first time.
Generated comprehensive reports and dashboards to monitor category health and track progress against key performance
indicators (KPIs).

SQLData AnalysisStatistical Data AnalysisApache ZeppelinApache SparkMetaBase+1

Business Analyst Intern

Jan 2024 – Jun 2024 · 5 mos

Conducted detailed Root Cause Analysis (RCA) to identify and resolve issues impacting Net Merchandise Value (NMV)
and Monthly Active Users (MAU).
Developed and implemented data-driven strategies and analytical models that resulted in measurable improvements in
category performance.
Collaborated with cross-functional teams to design and execute action plans addressing identified problems.

SQLData AnalysisStatistical Data AnalysisApache ZeppelinApache SparkMetaBase+2