- Managed end-to-end customer behavior analysis projects using time series forecasting, delivering results on time and presenting insights to stakeholders, improving marketing strategies.- Liased with marketing and product teams to increase reporting accuracy using Power BI, enhancing real-time KPI tracking across 4 customer segments and product categories.- Coordinated with teams to optimize workflows by managing data exploration for large datasets with Knime and Excel to derive actionable business insights, leveraging AWS for efficient storage.- Supervised the end-to-end customer segmentation using K-means clustering and PCA, resulting in a 32% increase in retention rates by tweaking engagement to meet diverse consumer needs and preferences.- Presented product recommendations and findings found through predictive analytics to key stakeholders, assisting in-app user experience optimization for over 10,000 users.- Developed machine learning models (LLM) to segment and analyze 30,000+ product descriptions, influencing marketing strategies and product development to enhance user experiences for key customer segments.

- Led the development of Sixer and ScoutX Testnet, resulting in a 35% increase in customer acquisition and a 16% reduction in acquisition costs through growth-focused marketing campaigns and A/B Testing.- Partnered with the marketing team to optimize CRM flows, customer journey mapping and triggered messaging through MoEngage, reducing user churn rate by 14%.- Implemented ETL processes and data quality frameworks, improving data accuracy by 25% to support reliable business decisions and reporting.- Refined the accuracy of existing models by 30% through predictive pricing models using Central Limit Theorem and regression, driving long-term revenue growth and user satisfaction across active user base.- Devised automation of daily tasks by gathering requirements from department heads and automating processes using Python and Retool, reducing manual tasks by 60%.- Communicated actionable analysis and insights on customer trading and buying behavior using SQL and Metabase, recommending risk mitigation plans that reduced trading risks.- Assisted leadership in preparing and presenting critical data insights for fundraising pitches to C-suite executives, enabling informed decision-making.

- Created 20+ marketing and financial dashboards using Data visualization techniques and Tableau, providing real-time customer insights and market risk metrics.- Enhanced cross-functional project management with Agile methods, improving delivery timelines across all departments by 19%.- Streamlined communication by creating visual reports tailored for both the technical and leadership teams, resulting in better alignment on product goals and objectives.- Partnered with key stakeholders in ideating and completing three user engagement in-app features using Asana.

- Produced over 3,000 pieces of analytical content in the sports domain with over 20 million lifetime reads.- Utilized Tableau and Python to identify trends and insights into player and team performances using ML algorithms.

- Led a team of 60 students, working to build a formula-styled electric vehicle- Presented business models at national and international events such as FSAEAustralasia, using Tableau