Headline

Analytics Leader @ ALLEN Digital | Ex ebay, Mu Sigma

About

Experienced Analytics Leader with 11+ years of expertise leveraging data to drive strategic decision-making and improve business outcomes. With a strong background in Product, I have led cross-functional teams to design and deliver end-to-end solutions while collaborating across multiple functions and geographies. High affinity to open source software and keenly learning new AI technologies. Domains: Ed-tech, E-commerce, Airlines & Financial Media Functions: Product, Marketing, Business & Operations Languages: SQL, Python, JavaScript. Data Warehouses: Clickhouse, AWS Redshift, Teradata Data Visualization: Tableau, Quicksight, Superset Data Engineering: Airflow, Spark, Kafka, Openmetadata (Data catalog), Docker Data Science & AI: Machine learning, RAG models, Agentic workflows (CrewAI, LangChain & LangGraph)

Location

Bengaluru

AI stack

claude code

codex

cursor

ollama

opencode

Work experience

Director of Analytics at ALLEN Digital, Apr 2025 - Present · 1 yr 6 mos, Bengaluru, Karnataka, India, - Lead an analytics organization of 15 across product, business, and data engineering, serving 500K+ enrolled students across India. - Boosted student exam scores by 5% across JEE and NEET cohorts, proven via a look-alike causal inference framework and vetted by professors from IIM-A and Harvard. - Accelerated digital monetization among offline students, generating +9.7% incremental course renewals fueled by a 42% weekly active adoption of core learning features. - Architected a migration to 80%+ self-hosted open-source data infrastructure, reducing AWS infrastructure expenditure by 30% ($400K+ annual savings). - Automated analytics operations by deploying production LLM tooling (Text2SQL, RCA metric miners, text classifiers), eliminating 30% of ad-hoc requests from stakeholders.

Senior Manager Analytics at ALLEN Digital, Jul 2024 - Apr 2025 · 10 mos, Bengaluru, Karnataka, India

Analytics Manager at ALLEN Digital, May 2023 - Jun 2024 · 1 yr 2 mos, Bengaluru, Karnataka, India

Lead Product Analyst at Unacademy, Jan 2022 - May 2023 · 1 yr 5 mos, Bengaluru, Karnataka, India, Key focus area: Improving learner experience - Increased average watch minutes per session by 14% by combination of improved content discovery and optimizing engagement touchpoints. - Built critical infrastructure for impression tracking & CTR measurement allowing measurement and optimization of key UI components. - Created RFI based user segmentation to improve business understanding and create targeted campaigns for sales/marketing Key focus area: Improving site traffic & signups - Improved visit to signup by 115% on Unacademy pages through series of A/B experiments in collaboration with PM and Engineering Stakeholders - Provided key insights to reduce bounce rates, page performance and SEO ranking Key focus area: Internal capabilities - Collaborated with Data Science to build cutting edge content recommendation engine driving learner retention and in class engagement - Collaborated with Engineering team to improve overall app performance by reducing screen load times and identifying API chokepoints - Reduced overall tech cost by optimizing product roadmap to prioritize ROI +ve features

Associate Manager at eBay, Sep 2019 - Jan 2022 · 2 yrs 5 mos, Greater Bengaluru Area, Project: Contributed across teams on multiple product launches to help assess impact and improve ‘Buyer Feedback’ Product. Improved feedback coverage, quality and visibility to drive uptick in sales conversion with better UX. • Brought clarity on Feedback launches to senior leadership through monthly & weekly updates on KPI movement and business impact. Helped realign year end forecast based on new initiatives. • Provided insight and foresight on launches like Android UX change, Prefilling feedback, Recency vs Relevancy based ranking and displaying feedback on listing page. • Prototyped relevance ranking model to sort feedback with an Intern. Added relevance ranking to Product development pipeline in collaboration with Israel data science team. Project: Enforced retail standards and policies to smoothen COVID-19 driven issues in supply chain leading to high late deliveries and order defects. Targeted detection and enforcement on item location misrepresentation policy violations through holistic model by tracking shipping legs and order movement. • Developed a rule-based solution for ILM detection by looking at tracking patterns, carrier movement, shipping leg locations, seller trust and on time deliveries on a global scale • Developed a self-serve Tableau dashboard for easy consumption by CS representatives resulting in reduction of late deliveries by 40% for Greater China sellers through rigorous enforcement

Business Analyst at eBay, Sep 2018 - Aug 2019 · 1 yr, Greater Bengaluru Area, Worked with eBay's US marketing team to develop longer term buyer growth strategy. With focus on retaining newly acquired buyers in e-commerce space we streamlined org reports (VP level) to accelerate decision making. Developed buyer retention models to identify buyers at risk of churn and offer targeted coupons. Maximized coupon impact by leveraging CLV model to revive with dormant buyers with high value.

Decision Scientist at Mu Sigma Inc., Feb 2017 - Aug 2018 · 1 yr 7 mos, Bangalore, Largest low cost US airline – Operations and FP&A team Project: Lead a team of 4 analysts devising forecasting mechanism for on-time arrival of flights, a key performance indicator, for world's largest low-cost airline based in Texas, US • Built two forecasting models using Linear Regression and Monte Carlo simulation with 98.5% accuracy • Forecasts from these models resulted in annual savings on ~$7M for client via better management of fleet size, flight scheduling, setting employee incentives Project: Lead a team of 4 analysts developing workforce planning and optimization tool for forecasting and filling granular demand-supply gap, with right mix of new hires and overtime to ensure smooth operations for next 2 years • Developed a holistic solution for mid-term planning while looking at flight schedule, attrition patterns, internal employee movement, hiring overhead, employee training and productivity at an airport and department level • Developed a self-serve R shiny solution for easy consumption by end users resulting in annual savings of ~$4.5M for pilot deployment targeting 25% employees (Potentially rising to $17M)

Trainee Decision Scientist at Mu Sigma Inc., Jul 2015 - Jan 2017 · 1 yr 7 mos, Bengaluru, Karnataka, India, Multinational Mass Media and Information Firm – Marketing Analytics Team Project: Helped the marketing analytics team to carry out data driven customer retention program, for their flagship product across 121 countries • Executed project on Customer Segmentation, Attrition modeling, Retention modeling, Campaign Reporting and Measurement, leading to ~$10M impact spread across 2 years • Extensively used R, SQL and Tableau for data manipulation, statistical modeling (Decision Trees, Logistic Regression and Random Forest) over customer data, product usage data and free hand text notes Project: Piloted customer acquisition campaign for their flagship product aimed at improving free trial conversion rate of their flagship product • Generated ~$1.2M from the pilot by providing ‘Go-to-Market’ team with rich insights into product usage and adoption rates from similar customers. Project: Map customer journey in a B2B domain to improve understanding of customer lifecycle across products and intermediate touchpoints across channels like email, calls, sales visits etc. • Built a Tableau dashboard showcasing omnichannel view of over 130k+ customers showcasing customer engagement score, sales opportunities won/lost, conversion of free trials, service requests raised, email communication etc.

Education

Bachelor of Engineering (BE), Computer Engineering, University of Mumbai

Stepping Stones High School

Profile highlights

My hot take about working with AI is…: No amount of AI replaces battle scars. Experience helps find what's wrong or what might break. Context will accelerate and bring clarity.

The last shipped feature I'm proudest of…: Helped improve student marks by 4.5%, vetted inside and out.