Lekhraj Kushwaha

Data Scientist

Bengaluru, Karnataka, India8 yrs 1 mo experience
Most Likely To Switch

Key Highlights

  • Established product analytics from the ground up.
  • Developed predictive models for customer behavior.
  • Collaborated across teams for data-driven insights.
Stackforce AI infers this person is a Data Analyst with expertise in Retail Analytics and Predictive Modeling.

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Skills

Core Skills

Product AnalyticsData VisualizationData AnalysisPredictive ModelingLogistic Regression

Other Skills

Amazon AthenaAmazon QuickSightGoogle AnalyticsGoogle BigQueryPython (Programming Language)SQLTeradata

Experience

Scopely

Senior Data Analyst

Nov 2023Present · 2 yrs 4 mos · Bengaluru, Karnataka, India

Data VisualizationProduct AnalyticsAmazon QuickSightGoogle AnalyticsAmazon AthenaSQL

Sixt research & development india

Senior Product Analyst

Jun 2021Aug 2023 · 2 yrs 2 mos · Bangalore Urban, Karnataka, India

  • Joined as the first product analyst in the company, took charge of establishing robust product analytics from the ground up, and implemented streamlined processes to ensure data quality while preserving invaluable knowledge for future reference.
  • Assisted leadership in making data-driven decisions through valuable insights, identifying growth opportunities
Data VisualizationProduct AnalyticsPython (Programming Language)SQLData Analysis

Suprdaily

Data Analyst

Aug 2019Jun 2021 · 1 yr 10 mos · Greater Bengaluru Area

  • Served as the first analyst, collaborated with business and product to identify and improve issues and gaps in the product and features. Assist them in problem definition, solution designing, and feature rollouts through extensive data analysis.
  • Convert business requirements to functional specifications and collaborate effectively across all organizational levels to help business in making more data-driven decisions
Logistic RegressionPython (Programming Language)SQLPredictive ModelingGoogle BigQueryTeradata

Mu sigma inc.

Trainee Decision Scientist

Oct 2017Jul 2019 · 1 yr 9 mos · Bengaluru, Karnataka, India

  • Worked in Marketing Strategy Analytics team for the world’s largest home improvement retail company
  • Reinforced email, direct mail campaigns of the world’s largest home improvement retailer by providing target audience using propensity models
  • Incorporated more than 300 Logistic regression models to calculate propensity scores for customer, based on their shopping, browsing, demographic data
  • Refurbished and managed a recommendation engine on Google Cloud Platform to provides top Classes/Categories recommended to customers based on their propensity scores
  • Researched latest advancements in predictive modeling to identify alternatives to traditional techniques, in terms of accuracy, consistency, feasibility
  • Built statistical model to predict churning customers based on their past behavior for a fortune 500 retail company

Acc limited

Market Anayst Internship

Jun 2015Jul 2015 · 1 mo · Greater Delhi Area

  • Assess the value growth opportunities of company’s products; concluded POPs and PODs and SWOT analysis
  • Compared the key buying factors, pricing, effect of influencers and schemes on company-retailer relationship and behavior
  • Analyzed feedback of “E-MUST” program and concluded its effectiveness
  • Designed Survey for quantifying penetration in the retail market
  • Structured a new advertisement strategy for enhancing Brand Equity (team effort)

Indian institute of management, lucknow

Research Intern

May 2015Jun 2015 · 1 mo · Greater Lucknow Area

  • Researched branding concepts; cobranding, marketing myopia, celebrity endorsement and more
  • Case study analysis of Harvard Business Cases: Dove, Mountain Man Brewing, Springfield Nor-Easters
  • Analyzed Harvard Business Review article on “Three Questions You Need to Ask about Your Brand” and was appreciated by professor Sameer Mathur, IIML

Education

Indian Institute of Technology, Kanpur

Bachelor's degree — Chemical Engineering

Jan 2012Jan 2016

Sunrisers Higher Secondary School, Vidisha

High School

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