Sep 2022 – Nov 2023 · 1 yr 2 mos · Bengaluru, Karnataka, India · On-site

• As the Head of the Analytics and Data Sciences division at HealthifyMe, a prominent HealthTech platform, I am responsible for driving data-driven decision-making across the company.
• I am spearheading the development of a comprehensive data collection strategy that integrates various sources to enhance our decision-making capabilities.
• Driving key analytics and data science projects impacting profitability and operational efficiency. A few such projects include:
• Identification of better leads using lead scoring helping teams to drive conversions.
• Identification of potential renewals and cross-sell opportunities in our user base.
• Leveraging generative AI (ChatGPT) to improve our Organic growth.
• Identification of fraud and building systems to monitor and intervene as and when they happen.
• Collaborating with multiple stakeholders across Product, Growth, Sales, and Services teams to drive the analytics strategy.
• I am currently leading a team of 18 analysts to drive our business goals and objectives.

Dec 2020 – May 2022 · 1 yr 5 mos · Bengaluru, Karnataka, India

• As the Head of Product Analytics and Data COE at MPL, my role was to drive analytics insights for the Product team and also build central data capabilities using people, process and tools.
• Led the analytics function in driving multiple business problems, focusing on people, processes, and tools.
• Defined the analytics roadmap with a data-first approach to problem-solving, ensuring the team's efficiency and effectiveness.
• Successfully executed the go-to-market plan for analytics during MPL's business launch in international markets.
• Consolidated the analytics team's efforts, shifting their focus from supporting functions to generating insights that drive business outcomes.
• Collaborated with cross-functional teams to optimize acquisition, monetization, and platform experience for MPL users.
• Worked closely with the data engineering team to design the data warehouse and data cataloging capabilities, ensuring a seamless data flow.
• Established the central alerting capability, enabling real-time monitoring of business-critical KPI movements.
• Streamlined the instrumentation processes to ensure high-quality data tracking in the system.
• Built the Product Analytics team from scratch to 25 members to drive analytics for various functions.

Jan 2019 – Dec 2020 · 1 yr 11 mos · Mumbai Metropolitan Region

• As a Data Science and Analytics Lead at BrowserStack, a SaaS product company providing testing infrastructure for browsers and mobile applications, I focused on enabling data-driven decision-making by building advanced analytics and data science systems.
• Collaborated closely with product, sales, and CEO office on various projects.
• Spearheaded the development of intelligence around churn, by building a churn score for users that indicates the probability of churn and recommend steps to avoid it.
• Optimized free trial subscription to paid subscription conversion by leveraging demographic and product usage behaviors to target users better.
• Built the lifetime value (LTV) model for different product offerings at BrowserStack.
• Developed a lead generation model for the offline sales team to drive growth.
• Led the development of a KPI dashboard in Looker for company executives to visualize key business metrics.
• Implemented data quality QC systems in collaboration with the data engineering teams to ensure data accuracy and consistency.

Aug 2015 – Jan 2019 · 3 yrs 5 mos · Mumbai, Maharashtra, India

• As a Full Stack Data Science and Analytics Lead at GetSimpl, a FinTech startup solving the problem of credit reach by enabling pay later service on online merchants, I led the efforts to build decision-making systems and developed various machine learning projects to determine creditworthiness, fraud, and other business goals.
• Deployed machine learning models that reduced delinquency by 20% and helped find creditworthy users with ~81% accuracy using Python, SQL, and Spark.
• Built data products and productionized the usage of various machine learning models, enabling production runs on Airflow using Python, Cassandra, Flask, Spark, and Airflow.
• Set up complete product analytics from scratch using web and event tracking tools such as Google Analytics and Mixpanel, enabling the product team to do quick A/B testing in various product variations.
• Developed end-to-end insight generation and KPI dashboards that helped senior management, business development, and product teams make data-driven decisions. This included working on the complete data model, ETL, frontend design, and development of dashboards using QlikSense, Pentaho ETL, Spark, and Redshift.
• Built a data pipeline to get data from multiple sources like external APIs, Postgres, and NoSQL and stored them in one NoSQL data warehouse (Cassandra) using test-driven development to ensure code stability and reliability.
• Worked closely with the CEO and senior management to define metrics and build dashboards for pitching to investors for funding.
• Designed experiments for various marketing campaigns and enabled the team to do campaign measurement and A/B testing.
• Conducted various learning sessions in the organization to empower colleagues with an understanding of data analytics and data tools to drive data-driven decision-making.
• Successfully scaled up the analytics function and managed a team of analysts.

Apr 2015 – Sep 2015 · 5 mos · Mumbai Metropolitan Region

• As a Data Analytics professional, I had the opportunity to work with India's largest real estate search portal, Housing.com. My primary responsibility was to solve business problems using data analytics, and provide insights and recommendations to improve their decisions. I also led the Analytics for Home loans at Housing.com.
• One of my major contributions was building a machine-learning model that predicts user conversion using various features. This helped to improve the efficiency and optimize the application conversions. I used Python and R to build this model.
• In addition to this, I also worked on ad-hoc requests from the operations and marketing teams. I used Python, R, and SQL for these requests.
• To help the business teams track important metrics and automate reports, I built dashboards using Excel and QlikSense.
• I also analyzed and optimized the efforts of online and offline marketing campaigns to help the company achieve its goals.

Jul 2013 – Apr 2015 · 1 yr 9 mos · Bangalore

• As a Decision Scientist, working for the world's largest Pharmaceutical company, I have led a team of 4 decision scientists to solve business problems using data analytics, providing insights and recommendations to improve decision making. My responsibilities included analyzing sales performance using different factors and metrics for different products, and presenting business reviews to the client. I worked on a statistical modeling project to forecast the sales of a new drug launched in the market. Additionally, I worked on ad-hoc requests and projects to find the reason for anomalies and provide data-driven decisions using statistical tools and software.
• I also built and automated Monthly Business Review Reports to reduce manual efforts and bring consistency to the report, thus reducing the chances of errors. My role has enabled me to work closely with cross-functional teams and stakeholders, providing insights for better decision-making.

Apr 2012 – Jan 2014 · 1 yr 9 mos · Mumbai, Maharashtra, India

• Built an EdTech platform for coaching institutes in India to enable them with online presence and give them capability to run their own course modules and test series.