Experienced Data Analytics Team Lead with 9+ years in product analytics and machine learning, leading cross-functional, global teams to deliver insights that drive product growth, innovation, and decision-making. Skilled in SQL, Python, and data visualization, with a strong track record in revenue optimization, scalable solutions, and fostering a data-driven culture.
• As the Data Analytics Team Lead, I manage a remote team of 5 skilled analysts, spread across 4 countries and 3 time zones, ensuring effective collaboration and growth through performance management, one-on-one meetings, and development plans.
• Providing comprehensive analytical support to Printify's largest product tribe, the Demand domain, enabling data-driven decisions and strategies across 8 product squads.
• Leading high-impact analytical projects across the organization, aligning with the Demand Head of Product to prioritize and communicate team initiatives that drive significant business value.
• Build strong relationships with cross-functional stakeholders, advocating for data-driven culture. Mentor peers and business partners on advanced data methodologies to enhance decision-making and analytics adoption.
• Equip the team with cutting-edge analytical tools and statistical techniques tailored to Printify's business, fostering continuous learning and innovation in analytics.
Supported 2 squads in the end-to-end product development lifecycle. Tasks included but were not limited to using data to identify customer pain points, hypothesis building, and testing, user tracking on the platform, identifying success and health metrics, A/B testing setup and analysis, funnel optimization, post-launch analysis, production monitoring, and ad-hoc analysis.
Worked in the Customer Value Management & Pricing department, responsible for modeling and quantifying value delivered by OLX classifieds to the customers, as well as supporting machine learning models to predict the transactions. These insights translate into actions for increasing customer lifetime value, making value-based price changes, and improving operational efficiency.
Worked as lead credit scorer in the Digital Lending department, responsible for credit risk analysis and building machine learning models to assign credit ratings to SMEs. Apart from mainstream lending projects, I also worked on launching 2 digital microcredit pilot projects by leveraging mobile wallet products in collaboration with Nestle and Uber.
Worked as client manager in the Artificial Intelligence department involved in developing and improving the modeling strategies and algorithms used by Afiniti. Afiniti enables the real-time, optimized pairing of contact center agents with customers in large enterprises. Techniques include data analytics, predictive analysis, identifying patterns/trends, probability, statistics, optimization, and simulation.