Headline

EY Parthenon | FMS Delhi’24 (Top 10%) | Ex - Tide (Fintech), Accenture | NIT Surat’21| CFA L1

About

"Every move should have a purpose." Chess taught me that long before business did. Solving problems - understanding why something works and how it can work better is what enjoy most. FMS gave me the tools. Real-world roles gave me the arena. And CFA Level 1 gave me the discipline to evaluate opportunity and risk with rigor. Over time l've learned that purpose isn't just about efficiency it's also about people. I care about building solutions that make life easier for the ones who use them and decisions that create value beyond the balance sheet. Whether I'm improving a product, simplifying a process, or analyzing a market my focus remains constant: think deeper, move smarter, help others win. thrive where learning never stops, and where the next step isn't obvious only exciting.

Location

Delhi

AI stack

antigravity

codex

Work experience

Consultant at EY-Parthenon, Aug 2024 - Present · 2 yrs 1 mo, Delhi, India, Management Consulting • Led strategic growth and operating model engagements, developing bottom-up business plans, financial models, and go-to-market strategies to drive revenue and profitability improvement • Conducted deep market and micro-market analysis to identify whitespace opportunities, portfolio gaps, and scalable growth levers across channels and regions • Designed and executed action-oriented growth initiatives, collaborating closely with senior leadership and sales teams to translate strategy into execution • Built advanced analytics and forecasting models across inventory, sales, and working capital to improve operational efficiency and capital productivity • Supported diversification and expansion initiatives through competitor benchmarking, market entry assessment, and end-to-end business case development

Product Management Intern - Payments at Vodafone Idea Limited, Apr 2023 - Jun 2023 · 3 mos, Mumbai, Maharashtra, India, • Researched 20+ apps, NPCI & PG's offerings, identified new age payment features for Vi app to drive txn success rate • Executed market surveys (200+ responses) & in-depth interviews (13+ individuals) to gauge user feedback on features • Benchmarked 12+ payment features across categories, recommended UPI Mapper & One-Click Pay for implementation • Developed GTM strategy, proposed user journey, implementation plan, & performed impact effort analysis for prioritization • Projected 2x UPI-Collect speed, 3x speed & eliminate 2-steps in saved card payments with ~3.5% success rate increase

Data Analyst 2 at Tide, Apr 2022 - Jul 2022 · 4 mos, • Assisted Operational Analytics and Insights team in the ad-hoc projects related to the Payment, Risk & KYC domain. • Created and maintained 7+ dashboards to analyse the data in Payments, KYC and Customer engagement domains • Forecasted the cost of reissuing cards by analysing customers data led by the finance team & reduced cost by 35%. • Identified £3.2m annual revenue potential through spend & activity rate analysis of the key transactional product.

Data Engineering Analyst at Accenture AI, Jun 2021 - Mar 2022 · 10 mos, Bengaluru, Karnataka, India, • Worked with the Asia's biggest Pharma client to digitalize the sales channel and developed a strategy for enhancing the sales and customer experience. • Developed a Decision Engine uses data to suggest next best message to sales representative to communicate with doctors • Formulated a HIPAA compliant Omnichannel System with 5 channels to facilitate the communication with doctors.

Research Intern at Indian Institute of Management Ahmedabad, Apr 2020 - Jul 2020 · 4 mos, Ahmedabad, Gujarat, India, - Worked on a Marketing Project: "Idiosyncratic characteristics of YouTube influencers and their impact on online engagement as well as purchase influence for viewers: The Interplay Between Humour and Credibility of Online Influencers" • Analyzed the impact of YouTube influencer on online engagement and purchase influence on viewers. • Developed a Data Scraping tool to extract 5 million comments of YouTube videos with API in Python. • Developed a Sentiment and Emotion Analysis model to extract emotions (anger, anticipation, disgust, fear, joy, sadness, surprise, trust) analysis.

Education

Master of Business Administration - MBA, Faculty of Management Studies - University of Delhi

Bachelor of Technology - BTech, Electronics and Communications Engineering, National Institute of Technology Surat