Sourabh Kumar

Business Development Executive

Bengaluru, Karnataka, India6 yrs 11 mos experience

Highly Stable

Key Highlights

Delivered over $35M in business impact.
Led test and measurement initiatives at Lowe's.
Expert in experimentation and forecasting.

Stackforce AI infers this person is a Retail Analytics Expert with strong capabilities in data-driven decision-making.

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Skills

Core Skills

Data AnalysisForecastingMarket Basket AnalysisDashboard Development

Other Skills

Microsoft Power BIMachine LearningProphetCustomer SegmentationPythonSQLTableauData VisualizationA/B TestingGoogle Cloud Platform (GCP)Demand ForecastingStatistical ModelingTeam LeadershipCross-functional Team LeadershipAnalytical Skills

About

I’m a data-driven problem solver with 6 years of experience in analytics, working at the intersection of business strategy, experimentation, and data science. My career has spanned both global analytics consulting (Mu Sigma) and an in-house analytics center of excellence at a Fortune 50 retailer (Lowe’s). At Lowe’s India, I currently lead test and measurement initiatives across merchandising, supply chain, and customer behavior. I’ve delivered over $35M in business impact by designing large-scale A/B tests, developing forecasting models with Prophet, and building cross-sell strategies using market basket analysis. My work spans pricing optimization, churn analysis, and KPI reporting automation — all driving critical business decisions. Previously at Mu Sigma, I consulted for one of the world’s largest sports retailers, delivering insights on customer segmentation, app engagement, and product performance. I developed dashboards, standardized data pipelines, and applied clustering and market basket techniques to support marketing and merchandising teams across geographies. I specialize in experimentation, forecasting, and retail/e-commerce analytics. My technical toolkit includes Python, SQL, Power BI, BigQuery, Hive, and Excel. I thrive on solving ambiguous business problems with data, translating insights into action, and collaborating with cross-functional teams to deliver measurable outcomes. If you're looking for someone who combines technical depth with business acumen and a passion for impact — let’s connect.

Experience

6 yrs 11 mos

Total Experience

3 yrs 2 mos

Average Tenure

7 mos

Current Experience

Meesho

Lead Business Analyst

Nov 2025 – Present · 7 mos · Bengaluru, Karnataka, India

Lowe's india

Senior Analyst

Aug 2022 – Nov 2025 · 3 yrs 3 mos · Bengaluru, Karnataka, India

Acted as an internal analytics consultant across merchandising, supply chain, and services teams to support data-driven decision-making.
Designed a robust time series model using Prophet to forecast the impact of full-chain promotions, enabling improved ROI measurement and campaign optimization.
Developed data-driven frameworks to analyze customer retention, churn, and product attachment patterns using new data pipelines and sources.
Partnered with business stakeholders to evaluate initiatives such as new product launches and store display strategies through experimentation and lift analysis.
Built advanced market basket analysis tools in Python to identify multi-item affinity patterns, aiding cross-sell strategy formulation.

Microsoft Power BIMachine LearningData AnalysisForecasting

Mu sigma inc.

Decision scientist

Jul 2019 – Aug 2022 · 3 yrs 1 mo · Bangalore

Leading a team of 3 analysts in creating Closet Analysis Dashboards for the merchandising team of the largest Sports Retailer in the world. The dashboard tracks lift of different combination of products and is being used leveraged by key stakeholders to generate their insights.
Used multiple tree based regression Algorithms such as Xgboost,Random Forest,Decision Trees to find out the factors which affect consumer footfall in the brick and mortar stores of the world's largest Sports Retailer. The insights generated are being utilised to change the assortment of various stores improve consumer footfall frequency.
Created Web Analytics Dashboards to track consumer's interaction metrics to track consumer journey across various digital platforms. The dashboards are being utilised by stakeholders to increase customer retention throughout the digital ecosystem.
Created and automated DQM pipeline for key supply chain reports for Brick and Mortar stores of the largest sports retailer .The automated pipeline led to about 50% decrease in total required man-hours
Worked on multiple adhoc analytics requests across various use cases ranging from Event pre-post analysis, Email Campaign analysis, Product pricing etc. Performed consumer journey analysis to track the journey the consumer journey across various digital platforms for the largest Sports Retailer.
Created a machine learning framework using Hierarchical Clustering to segment the users of a fitness app based on various engagement variables. The results helped the clients to suggest personalised regimes to the consumers leading to increase in workout completion rate from 45 percent to 70 percent.

SQLTableauData AnalysisDashboard Development