Headline

Analytics @ LG Ads | Ex-Myntra | IIT-BHU’21

About

Product analytics professional with 5+ years across AdTech and e-commerce, owning analytics for $600M+ revenue businesses and shipping AI-powered data products. At LG Ad Solutions, I lead analytics for media planning and revenue strategy building forecasting models, running A/B experiments, and developing an end-to-end AI feasibility agent that cut turnaround time by 40%. Before that, at Myntra, I owned pricing, planning and category analytics for Men's Wear a portfolio contributing ~20% of annual revenue driving 30% YoY growth through regression-based pricing models and behavioral segmentation. My work sits at the intersection of product thinking and data I'm equally comfortable writing a PRD, pulling SQL, designing an experiment, or presenting findings to senior stakeholders. Core strengths: SQL, Python, A/B experimentation, behavioral segmentation, strategy and executive storytelling. Always open to conversations around product analytics, growth strategy, and AI-powered tooling.

Location

Bengaluru

Work experience

Senior Analyst at LG Ad Solutions, Apr 2025 - Present · 1 yr 5 mos, Bengaluru, Karnataka, India, Part of the Media Planning and revenue strategy team responsible for optimizing ad inventory sales, analyzing traffic trends, and forecasting changes driven by product updates and real‑world events, while improving accuracy from 30% to 60%, unlocking ad‑hoc budgets, optimizing peak operations and scaling operations by 300%. 1. Owned product analytics for revenue maximizing strategies across $600M+ in annual revenue; defined success metrics, built KPI frameworks and led client-level demand planning across cross-functional teams. 2. Led end-to-end development of an AI-powered feasibility agent — authored PRDs, defined acceptance criteria, and shipped with DS & Engineering; eliminated manual cross-sheet reviews and cut turnaround time by 40%. 3. Built an automated inventory optimisation framework in Python to surface sales discrepancies and allocate inventory for growth; secured incremental budgets through executive narratives, unlocking 25% YoY growth. 4.Spearheaded root cause analysis across 1,000+ roadblocks in 60+ countries — identifying over/under-delivery factors and deploying targeted interventions; improved operational accuracy from 30% to 60%. 5.Designed and executed A/B experiments and lift studies for ad inventory monetization; drove 20% improvement in make-good impressions and mentored 3 junior analysts on experimentation methodology. 6. Analysed watch history and user profiles to build behavioral segmentation models; enabled audience targeting with behavioral tags, delivering a 12% lift in CTR/VCR.

Business and Data Analyst at LG Ad Solutions, Oct 2023 - Mar 2025 · 1 yr 6 mos

Category Growth & Revenue Strategy at Myntra, Jun 2021 - Sep 2023 · 2 yrs 4 mos, Bengaluru, Karnataka, India, Owned product analytics and category management for Myntra's Men's Wear portfolio handling Pricing, Planning, Demand Generation & Merchandising (Storefront and Marketing) across B2C, B2B, Private Labels, and International Brands contributing ~20% of annual revenue. 1. Managed end-to-end category analytics for Men's Casual Wear; drove 30% YoY growth through regression-based pricing models and controlled experiments optimizing price elasticity and demand; collaborated with Data Science to automate pricing, saving ~20 man-hours/day. 2. Managed and optimized deals across platform real estate (on-app and off-app) to maximise customer engagement and revenue per customer; monitored category KPIs and analysed platform and competitive landscape to identify gaps, profiling inventory, price points, and discounts into actionable plans. 3.Reactivated 20%+ of churned cohorts through regression-based discounting, competitor pricing benchmarks, and personalised CRM; monitored merchandising performance across platform real estate, optimising CTR and revenue per impression improving repeat purchase rates by 15%. 4.Revamped online sales strategy for Myntra's Men's Forward section — analysed customer behaviour, seasonality, and product performance; onboarded 15+ new brands and optimized targeting, cross-sell coupons, and CRM notifications, driving 10% MoM revenue growth. 5.Led the Grand Garage Sale (GGS) end-to-end with 20+ stakeholders, implementing targeted pricing and personalized offers; delivered 1.95x revenue growth over BAU days. 6.Improved inventory health through data-driven pricing aligned with customer insights — achieved a 5% sell-through rate improvement on aged inventory and reduced stockholding costs.

Data Analyst at HomeGround Sports Analytics, May 2021 - Jun 2021 · 2 mos, • Worked on developing a model for action v/s no action classification in net practise sessions. • Worked on hyperparameter tuning and refinement of deep learning models. • Used various OpenCV techniques for background subtraction.

Data Analytics Intern at Thoucentric, May 2020 - Jun 2020 · 2 mos, 1. Developed and formulated a composite index to determine Consumer Behaviour for a particular use case and demography using economic indicators and sentiments from news & social media. 2. Used Machine Learning and a rule-based approach to quantify consumer behaviour and also collaborated in designing a dashboard to represent news analytics, relevant scores and figures.

Machine Learning Intern at Job Vacancy Result (official), Apr 2020 - Apr 2020 · 1 mo, • Worked on building a model which aims to extract a candidate's personality traits from the video, audio and text. • Worked on Candidate Recommender Model for efficient screening of the candidates. • Collaborated in mapping the personality of a candidate from the various assessments for the blue-collar industry.

Education

Bachelor of Technology - BTech, Indian Institute of Technology (Banaras Hindu University), Varanasi

Nalanda Academy, Kota