Marketing & Data Science Expert

ML/AI | Media & Advertising | Strategy & Consulting

Professional with 8+ years of experience transforming complex marketing, media, and customer data into actionable strategies that drive measurable business impact. Proven expertise in advanced analytics, CRM performance measurement, attribution modeling, segmentation, and marketing optimization. Strong record of leading cross-functional teams, collaborating with marketing, data science, and technology stakeholders, and delivering insights that accelerate revenue growth, improve retention, and optimize channel effectiveness across Email, SMS, Paid Media, and Clienteling.

• Marketing Analytics: Customer Journey Optimization, Media Mix Modeling, Attribution, Causal Inference
• Data & Customer Insights: CRM analysis, Customer Data Platform, Audience Segmentation, Personalization
• CRM Tools: Salesforce, HubSpot CRM, Adobe Experience Cloud
• Technologies: SQL, Python, Databricks, Azure, Google Analytics, Tableau, Data Studio
• Optimization and Automation: Data Pipelines, Campaign Automation, Marketing Automation
• Sector Focus: Advertising Measurement, Digital Transformation, Technology, Media & Advertising

Work Experience

Great Learning Instructor, Part-Time (July 2021 - Present)

• Business Statistics, Applied Data Science
• Marketing and Retail Analytics

Manager - Data Science & Analytics, TD Bank (_Nov 2021 - June 2024)

• Measurement plans, Customer Orchestration, e2e Automation and Modeling, ML Automation

Team Lead - Data Science Analytics, Epsilon Media Agency (Jan 2019 - Dec 2020)

• Retention Modeling, Data Pipelines, Engineering, Customer Behavior Insights, Paid Social Analytics, Advertising Measurements

Manager - Data Scientist, Hearst Media (Mar 2016 - Dec 2018)

• Forecast & optimization, Media Mix Modeling, clickstream analytics, sentiment analysis, social media strategy

Senior Data Analyst - Nielsen Marketing Services (Mar 2015 - Mar 2016)

• Marketing Mix Modeling, Media Effectiveness, Data Engineering and Pipelines

Projects

Scoring Models in Marketing Research to Improve Campaign Response Rates

Using Marketing Mix Modeling (MMM) to evaluate media and campaign effectiveness

Reach and frequency Optimization to Reduce Media Waster and Improve Conversion Rate

Step Wise Regression Analysis in Detail

• Causality: The new science of an old question - GSP Seminar, Fall 2021
• Guest Lecture: Dimensionality Reduction - Big Data and Machine Learning for Scientific Discovery (PHYS 5336), Spring 2021

Education

• Masters, Engineering Industrial & Statistics

  The Texas A&M University

• Bachelors, Engineering Mechanical

  Visvesvaraya Technological University

• Data Science Blog
• Data Science YouTube