Headline

Business Analyst @ Cult.fit || Ex - Porter || SQL • Python • A/B Testing • Product & Ops Analytics || BTech @ MNNIT Allahabad

About

Business Analyst with experience across product, operations, and growth. I specialize in turning data into clear, actionable insights that improve funnels, reduce inefficiencies, and drive measurable impact. At Porter, I redesigned the FOS acquisition model (40% faster conversions), reduced Calls Per Order by 77%, improved partner engagement through experimentation, and built fast, scalable data marts that cut warehouse costs by 35% and sped up dashboards by 50%. Previously at BPCL, I worked on refinery–petrochemical integration strategy and benchmarked global industry trends across 20 companies. Skills: SQL, Python, A/B testing, Funnels, Cohorts, Dashboarding, DBT, Power BI, Tableau, Metabase, Snowflake, BigQuery. Open to roles in Business Analytics, Product Analytics, and Data-driven problem solving.

Location

Bengaluru

AI stack

claude

codex

deepmind

deepseek

elevenlabs

gemini

Work experience

Business Analyst at Curefit, Dec 2025 - Present · 11 mos, Bengaluru, Karnataka, India, Owned analytics strategy for the Personal Training business, driving KPI design, experimentation, and performance measurement. Built self-serve dashboards and automated reporting systems, creating a single source of truth for business and product metrics. Identified key retention levers through funnel and cohort analysis, contributing to a 4.3 pp uplift in member renewals. Partnered with product and business teams to define engagement, adherence, quality, and progression metrics for key initiatives.

Business Analyst at Porter, Jul 2025 - Dec 2025 · 6 mos, • Conducted in-depth data analysis to evaluate whether the Field Operations Staff (FOS) functioned primarily as a lead-generation or conversion engine; insights drove a strategic revamp of the FOS acquisition model, reducing overall partner conversion time by 40% and improving operational efficiency across 12+ cities. • Optimized partner communication effectiveness using A/B testing across SMS, WhatsApp, and in-app channels, refined engagement strategy for 600K+ partners, improving message open rates by 18% and increasing actionable engagement by 25%. • Architected and deployed complete Fact, Dimension, and Data Mart layers for partner, order, and activity streams this reduced warehouse compute cost by 35% and enabled high-speed querying with 50% faster dashboard loads.

Business Analyst at Porter, Jan 2025 - Jul 2025 · 7 mos, • Reduced Calls Per Order by 77% (from 0.95 to 0.22) by fixing process issues and making support more efficient. • Built a model to detect social media cases, capturing 80% (350 cases), and validated performance through historical data backfilling. • Reduced Tickets Per Order by analyzing Sprinklr flow and optimizing escalation logic, minimizing unnecessary ticket creation and positively impacting 1,000 orders per day. • Developed a data-driven Product Overview Dashboard, providing insights on conversion rates, new feature efficiency, and marketing performance. Built using facts, dimensions, and mart layers, with optimized queries for data load times under 6 seconds.

Research Intern at Bharat Petroleum Corporation Limited, Jun 2024 - Jul 2024 · 2 mos, Noida, Uttar Pradesh, India, • Collaborated with five cross-functional teams to evaluate traditional refinery operations and support integration with petrochemical complexes. • Analyzed trends in the global petrochemical industry for 20 companies, identifying growth opportunities for India. • Provided strategic insights to BPCL leadership, aiding in the planning of refinery-petrochemical integration.

Education

Bachelor of Technology, Motilal Nehru National Institute of Technology

Public links

github: https://github.com/neelanshagrawal-a11y