Shubham Sawarkar
Bengaluru
Summary
Data-driven Business Analyst with hands-on ownership of high-impact experimentation and operational analytics in marketplace and logistics ecosystems. Experienced in driving measurable improvements in fulfillment, acceptance, and cancellation reduction across Heavy Commercial Vehicle (HCV) categories through structured A/B testing, incentive design, and funnel analysis. Strong track record of translating ambiguous business problems into actionable insights, building real-time decision systems, and enforcing governance through data-backed controls. Adept at working closely with Product, Business, and Operations teams to deliver scalable, sustainable outcomes.
Overview
1
1
year of professional experience
Work History
Business Analyst
Porter
Bengaluru
04.2025 - Current
- HCV Experimentation Ownership: Owned end-to-end analytics for high-impact HCV experiments focused on improving fulfillment, reducing cancellations, and strengthening incentive governance across cities and vehicle categories.
- Spot on Tray: Improved fulfillment of unaccepted spot orders by enabling tray visibility for PXs; built adoption tracking and funnel analysis resulting in 1 pp fulfillment uplift for large vehicle categories.
- Open-Close Experiment (Delhi): Reduced cancellations after driver found via a structured A/B framework with pre-bias checks and performance tracking, driving a 2.5 pp improvement in fulfillment and enabling full-scale rollout.
- Hyderabad Dry Run A/B: Evaluated incentive framing impact for 9ft and 14ft categories; quantified acceptance, completion, revenue, and burn trade-offs, leading to a 3 pp uplift in acceptance.
- Goodwill and Dry Run Reform: Redesigned payout logic and built simulators to test configurations, controlling incentive burn by evaluating burn as a percentage of revenue across cities and PX cohorts.
- Goodwill PX Flagging: Reduced goodwill leakage by developing a movement-based intent detection framework using cosine geometry to identify non-genuine pickup behavior.
- Dry Run Formula Correction: Identified a long-standing payout formula defect (since 2016) and quantified 50.09 lakh leakage (Jan-Jul 2025), with 73% driven by 5 km discrepancies and 59% from HCV and Micro LCV; enabled correction and post-fix burn monitoring.
- Real-Time Decision Systems: Built real-time dashboards using Streamlit and Apache Pinot to give Product, Business, and CG teams faster visibility into fulfillment, cancellations, and incentive performance.
Business Analyst Intern (Packers and Movers)
Porter
Bengaluru
09.2024 - 03.2025
- Supported analytics for the Packers and Movers vertical by tracking demand, allocation success, cancellations, and fulfillment across cities and move types.
- Built SQL-based operational reports to monitor booking funnels, crew allocation efficiency, and move completion rates for category and operations teams.
- Analyzed failed moves, cost drivers, and exception cases to identify recurring operational gaps and improvement opportunities.
- Worked closely with category and operations stakeholders to translate business questions into data analyses supporting day-to-day decision-making.
Education
Professional Certification - Data Analytics and Applied Statistics
IIT Kanpur
Kanpur01.2024
Bachelor of Science - Computer Science
Jain University
Bengaluru, Karnataka01.2019
Skills
- SQL
- Snowflake
- Python
- Pandas
- Numpy
- Matplotlib
- Streamlit
- Metabase
- Github
- Forecasting
- Data visualization
- Statistical analysis
- A/B testing
- Cross-functional collaboration
- DBT
Timeline
Business Analyst
Porter
04.2025 - Current
Business Analyst Intern (Packers and Movers)
Porter
09.2024 - 03.2025
Professional Certification - Data Analytics and Applied Statistics
IIT Kanpur
Bachelor of Science - Computer Science
Jain University