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Roshan Bhattad

Business Analytics | Business growth| Meesho | Ex ZS Associates

Pune Division

4+ years of work experience

Meesho
Jul 20263 mosPresent

Bengaluru · Hybrid

Meesho
Nov 20241 yr 9 mosJul 2026

Bengaluru · Hybrid

Developed a solution for ranking problems, resulting in a 30% increase in views for new seller listings in the first month itself. Conducted A/B testing on ad campaigns, providing actionable insights that optimized conversion rates & engagement. Led early fraud detection analyses on orders data (50M/day+ records), identifying high-risk behavioral signals to proactively prevent fraud orders and claims. Designed and productionized a scalable risk-scoring model to automatically block products exceeding risk thresholds (WFR) across price buckets, reducing fraudulent exposure and claims (8% FP rate, 0.6% NMV impact) Implemented transaction monitoring and anomaly detection and rule engines at transaction level to detect suspicious delivery path. Applied LLMs to re-architect returns classification logic, improving attribution accuracy by 20% which helped categories take better decisions Created dashboards to track key metrics and implemented data-driven seller selection processes, achieving a 10% increase in platform inflow and identifying gaps in assortment through extensive search feed analysis.
ZS
Aug 20222 yrs 2 mosSep 2024

- Collaborated with cross-functional teams to conceptualize, create, and implement solutions for over 20 business use cases within timelines, demonstrating adept project management and problem-solving skills. - Contributed to a notable 15% sales increase for a Billion-Dollar Drug through the implementation of targeted strategies and impactful initiatives. - Demonstrating proficiency in client management and fostering effective collaboration across teams, resulting in a 30% decrease in workload and time by implementing agile process improvements. - Product owner for orchestration engine ZS tool for our team.
ZS
Mar 20226 mosAug 2022

Pune, Maharashtra, India

- Leveraged big data sets to uncover valuable insights, empowering client teams to optimize sales and marketing strategies effectively. - skilled in leveraging Amazon S3 and Hadoop for large-scale data management

Roshan’s AI Stack

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Education

Pune Institute of Computer Technology

Bachelor of Engineering - BE, Engineering

Pune Institute of Computer Technology

20184 yrs2022

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Headline

Business Analytics | Business growth| Meesho | Ex ZS Associates

About

Data & Business Analyst with ~4 years of experience solving growth, fraud, and marketing problems through large-scale analytics across e-commerce and pharma domains. Built and productionized ranking, risk-scoring, anomaly detection, and A/B experimentation solutions on 50M+ daily records using SQL, Python, and distributed data systems (S3, Glue, Hadoop), driving measurable lifts in conversion, inflow, and fraud reduction. Strong cross-functional partner who designs experiments, translates ambiguous business problems into scalable data products, and delivers actionable insights for product, business, and leadership teams.

Location

Pune Division

AI stack

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Work experience

senior buisness analyst at Meesho, Jul 2026 - Present · 3 mos, Bengaluru · Hybrid

Buisness Analyst II at Meesho, Nov 2024 - Jul 2026 · 1 yr 9 mos, Bengaluru · Hybrid, Developed a solution for ranking problems, resulting in a 30% increase in views for new seller listings in the first month itself. Conducted A/B testing on ad campaigns, providing actionable insights that optimized conversion rates & engagement. Led early fraud detection analyses on orders data (50M/day+ records), identifying high-risk behavioral signals to proactively prevent fraud orders and claims. Designed and productionized a scalable risk-scoring model to automatically block products exceeding risk thresholds (WFR) across price buckets, reducing fraudulent exposure and claims (8% FP rate, 0.6% NMV impact) Implemented transaction monitoring and anomaly detection and rule engines at transaction level to detect suspicious delivery path. Applied LLMs to re-architect returns classification logic, improving attribution accuracy by 20% which helped categories take better decisions Created dashboards to track key metrics and implemented data-driven seller selection processes, achieving a 10% increase in platform inflow and identifying gaps in assortment through extensive search feed analysis.

Business technology solution associate at ZS, Aug 2022 - Sep 2024 · 2 yrs 2 mos, - Collaborated with cross-functional teams to conceptualize, create, and implement solutions for over 20 business use cases within timelines, demonstrating adept project management and problem-solving skills. - Contributed to a notable 15% sales increase for a Billion-Dollar Drug through the implementation of targeted strategies and impactful initiatives. - Demonstrating proficiency in client management and fostering effective collaboration across teams, resulting in a 30% decrease in workload and time by implementing agile process improvements. - Product owner for orchestration engine ZS tool for our team.

Business technology solution associate intern at ZS, Mar 2022 - Aug 2022 · 6 mos, Pune, Maharashtra, India, - Leveraged big data sets to uncover valuable insights, empowering client teams to optimize sales and marketing strategies effectively. - skilled in leveraging Amazon S3 and Hadoop for large-scale data management

Education

Bachelor of Engineering - BE, Engineering, Pune Institute of Computer Technology