Headline

Product & Operations | AI-Driven Systems | Analytics & Growth

About

I am an aspiring Product Manager with a background in business analytics, data science, and technical program management. I enjoy combining analytical insights with product strategy to deliver solutions that enhance user experience and drive measurable business outcomes. At Angel One, I contributed to launching high-impact features such as a proprietary chatbot. I also worked on personalization initiatives that boosted engagement and implemented an ML-powered response engine that automated customer support queries. Previously, I gained experience as a Data Analyst and Data Scientist, where I streamlined workflows to cut reporting time by 80%, partnered with 30+ clients to deliver actionable insights, and built a recommendation engine with 95% precision that improved product matching by 20%. With an MSc in Business Analytics from Queen Mary University of London, I bring a strong foundation in product roadmapping, A/B testing, and strategy. I am passionate about creating user-centric products and growing into product leadership roles. I’m always open to discussing product strategy, analytics, and innovation—let’s connect!

Location

Mumbai

AI stack

antigravity

codex

cursor

Work experience

Director - Product and Operations at QuitSure | No#1 quit smoking app, Dec 2025 - Present · 9 mos, India

Technical Program Manager | Data Platforms at Angel One, Jan 2024 - Dec 2025 · 2 yrs, Mumbai, Maharashtra, India, As a Technical Program Manager, I contribute to product and program initiatives that improve customer experience, streamline processes, and support business growth. My work spans cross-functional collaboration with engineering, product, and design teams to deliver user-centric solutions. -Supported the rollout of new digital tools and features, focusing on improving customer engagement and efficiency. -Collaborated with data science and analytics teams to introduce personalization initiatives and optimize user journeys. -Contributed to process improvements that enhanced automation and reduced manual dependencies. -Assisted in initiatives around compliance and security to maintain trust and regulatory alignment. -Participated in roadmap discussions, leveraging analytics and user feedback to help prioritize features and track performance.

Data Analyst at ETFGI, Feb 2023 - Aug 2023 · 7 mos, Greater London, England, United Kingdom, ◦ Managed the company's database, including adding new products, calculating assets worth $10 trillion, and determining inflows. Implemented necessary changes to ensure data accuracy and integrity. ◦ Conducted quantitative and qualitative analysis of ETFs/ETPs, generating 20+ scheduled reports to provide insights and recommendations to stakeholders. ◦ Conducted thorough research analysis, collecting and cleaning unstructured data to extract meaningful insights for reporting purposes. ◦ Produced monthly press releases, effectively communicating key findings and market trends for clients and stakeholders. ◦ Assisted clients with ad-hoc data queries, providing timely and accurate information to support their decision-making processes. ◦ Leveraged Python for web scraping, resulting in an 80% reduction in time required to complete certain tasks, improving overall efficiency.

Data Scientist at Yuty, Jun 2022 - Sep 2022 · 4 mos, Greater London, England, United Kingdom, ◦ Implemented a recommendation system employing advanced machine learning techniques, resulting in a 20% increase in customer product matching accuracy. ◦ Utilized 8 distinct data files (CSV and JSON) to assist clients in achieving their customer-matching objectives. ◦ Developed a robust metric evaluation framework, enabling the assessment of recommendation system accuracy with a precision rate of 95%. ◦ Prepared a detailed and well-structured report documenting all implemented steps and methodologies.

Consultant at Queen Mary University of London, Feb 2022 - Mar 2022 · 2 mos, Greater London, England, United Kingdom, ◦ Collaborated closely with professors to deploy solar cell technology in global markets. ◦ Crafted a strategic commercial roadmap for the successful implementation of the technology. ◦ Conducted extensive market research to identify potential applications and opportunities for the technology. ◦ Conducted thorough competitor analysis to identify and understand competing technologies within the sector.

Education

Msc in Business Analytics, Queen Mary University of London

Diploma, AI Product Management, Airtribe