Jan 2025 – Feb 2025 · 1 mo

Oct 2024 – Dec 2024 · 2 mos · Bengaluru, Karnataka, India · On-site

• As a Senior Product Analyst for Zepto Supersaver, I utilized data-driven insights and A/B experiments to enhance user experiences and drive product performance. My role involved developing strategic initiatives and optimizing features, resulting in improved user engagement and increased business outcomes.

Jun 2024 – Oct 2024 · 4 mos · Gurugram, Haryana, India

Feb 2023 – May 2024 · 1 yr 3 mos · Bengaluru, Karnataka, India · Remote

• Executed the design and implementation of experiments and in-depth analyses for recently launched products, such as UPI Lite and UPI through Rupay Credit Cards. Unearthed crucial insights to improve Product-Market Fit (PMF), boost user adoption, and scale these products efficiently.
• Teamed up with the growth team to construct micro-cohorts targeting inactive or less active users within the Paytm app. Leveraged data insights to create and implement engagement strategies that effectively reactivated users, leading to increased user retention rates.
• Established the team's data warehouse by comprehending product funnels and data flow across various products. Collaborated with cross-functional teams to address data challenges, consolidating and manipulating raw data from multiple sources to set up a centralized data solution ensuring single source of truth.
• Demonstrated effective team leadership by mentoring a team of junior analysts. Provided guidance, training, and support in data analysis techniques and project management, fostering a collaborative and learning-oriented team environment.

Nov 2020 – Jan 2023 · 2 yrs 2 mos · Pune, Maharashtra, India · On-site

• Analyzed millions of records on the US Oncology market, spanning across metrics for physicians/patients across 10 different tumour indications, oncology drugs, and market events for a strategic plan of business, competitive activity, market segmentation, call planning, and value selling.
• Automated monthly operational tasks using SQL and Excel, merging numerous data sources for reporting and target alignment for healthcare salesforce executives.
• Mentored new team members on ongoing projects for a seamless workflow of all tasks and ensured a strong understanding of client requirements.
• Designed targeting models to identify potential customers by translating business problems into analytical frameworks and developed data processing pipelines using SQL to process patient claims data.
• Created a product performance tracker dashboard on Tableau to track the performance of clients' FDA-approved drug launches, identifying and targeting physicians for value selling across 10+ parameters, dealing with millions of records for the same.

Aug 2020 – Nov 2020 · 3 mos · India

• Worked as Associate Software Developer where I was trained in Database Management Systems.

May 2019 – Jun 2019 · 1 mo

• Worked as teaching assistant for machine learning and deep learning courses. My work mostly involved helping interns debugging their code and guiding them through the capstone projects and daily mini projects.

Aug 2018 – May 2019 · 9 mos

• My work mainly involves debugging of Machine Learning Models of Interns and to guide them in the project.

May 2018 – Jul 2018 · 2 mos

• Learned Machine Learning and made a prediction model for FIFA World Cup as final project.

Oct 2018 – Sep 2020 · 1 yr 11 mos · Jaipur Area, India · On-site

• Led a team of coordinators to promote innovation and entrepreneurship among students and faculty members.
• Organized and facilitated workshops, hackathons, and seminars to encourage ideation and provide guidance for idea implementation.
• Coordinated with industry experts, investors, and mentors to provide support and guidance to budding student entrepreneurs.

Jun 2017 – Jul 2017 · 1 mo · Bhilwara Area, India

• Learned about communication hardware and softwares