ramnaresh chouhan
@ramnareshchouhan
Analytics leader driving product growth and operational efficiency through data-driven strategy.
What I'm looking for
I am an analytics leader with 9+ years of experience building data-driven product and operations solutions across quick-commerce, e-commerce and SaaS. I have led teams of analysts and data scientists to deliver measurable impact ā from manpower optimization and real-time prediction models to churn prevention and product adoption frameworks.
My work blends statistical rigor, scalable analytics foundations and stakeholder collaboration: I designed linear-programming manpower planning, a 30-minute picker prediction model with ~90% precision, churn models, CAAR feature-adoption frameworks and end-to-end BI setups that reduced reporting TAT dramatically. I seek roles where I can lead analytics strategy, mentor teams and turn data into measurable business outcomes.
Experience
Work history, roles, and key accomplishments
Analytics Lead (Store Ops & Product)
Blinkit
Jun 2024 - Present (1 year 5 months)
Led a 10-member analytics team driving store ops and product growth; built LP-based manpower planning reducing manpower cost by 5%, developed 30-min picker prediction (90% precision) and churn model (90% accuracy), and optimized store layout to boost throughput by 10%.
Analytics Lead (Product)
Whatfix
Jul 2023 - May 2024 (10 months)
Led product analytics initiatives that increased feature adoption 10% (CAAR framework) and reduced data-capture issues 30% via anomaly detection; created user segmentation projected to raise revenue by 10% and reduced churn 8% in a quarter.
Senior Product Analyst
Whatfix
Mar 2020 - Jun 2023 (3 years 3 months)
Delivered product analytics and automation that reduced churn and increased feature adoption (20% uplift) and task completion (20%), built analytics solutions contributing 5% revenue retention for a partner, and saved ~300 customer hours via automation.
Sr. Data Analyst
Delhivery
Feb 2019 - Mar 2020 (1 year 1 month)
Built attrition and productivity models for last-mile executives informing policy that saved ~7,800 INR per FE and improved CPS by up to 7% in metros; developed DC load prediction and operational R-Shiny dashboards for workforce planning.
Data Analyst
Delhivery
Jul 2016 - Jan 2019 (2 years 6 months)
Designed shipment bagging optimization and DC load prediction models that reduced bagging costs and balanced demand across DCs; built real-time operational dashboards for load monitoring and planning.
Education
Degrees, certifications, and relevant coursework
Indian Institute of Technology Madras
Bachelor of Technology; Master of Technology, Naval Architecture & Ocean Engineering; Applied Mechanics
2011 - 2016
Activities and societies: Developed the first miniature AUV; Team captain and winner in National AUV Competition; Captain of hostel volleyball team; Coordinator for Saarang festival
Completed undergraduate and postgraduate studies in engineering with focus on naval architecture, ocean engineering and applied mechanics.
Availability
Location
Authorized to work in
Job categories
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