• Led the development and deployment of critical data science projects such as In-App Purchase (IAP) forecasting and churn prediction, impacting user acquisition strategies and revenue streams. Collaborated closely with the marketing and product teams to align model outcomes with business goals, ensuring a direct impact on Return on Ad Spend (ROAS).• Improved IAP forecasting accuracy by 15% by optimizing model performance and fine-tuning parameters using advanced machine learning… Show more • Led the development and deployment of critical data science projects such as In-App Purchase (IAP) forecasting and churn prediction, impacting user acquisition strategies and revenue streams. Collaborated closely with the marketing and product teams to align model outcomes with business goals, ensuring a direct impact on Return on Ad Spend (ROAS).• Improved IAP forecasting accuracy by 15% by optimizing model performance and fine-tuning parameters using advanced machine learning techniques, significantly contributing to revenue growth.• Deployed models at scale on cloud infrastructure (AWS, Snowflake) using Python, dbt, and Prefect, integrating with our existing data pipelines and ensuring real-time prediction capabilities for game events and user behaviors.• Enhanced marketing campaign effectiveness by analyzing player behavior with advanced SQL queries and providing actionable insights to optimize user engagement, retention, and monetization strategies.• Collaborated cross-functionally with growth, gaming, and product teams to translate complex data insights into practical solutions, driving key decisions for the company’s growth strategy.• Developed AI agent using Unity ML-Agents that plays and improves through reinforcement learning. Show less

• Developing demand forecasting models, optimizing offer systems for market expansion. • Conducting customer segmentation, developing collaboration skills with marketing team • Analyzing time series data to uncover trends and enhancing decision-making

• Customer Segmentation using advanced sql and Python• Managing end-to-end projects such as Churn Prediction, Acquisition & Upsell Forecasting using Python, Scikit-Learn and machine learning methods such as Random Forest, XGBoost etc.• Managing Kids SmartWatch Demand Forecasting Project by using Python and Machine Learning Algorithms such as Linear Regression, Decision Tree, KNN, Random Forest, XGBoost etc

• Store Segmentation using SQL and Python by developing healthy communication with stakeholders • Location Analysis using Python and Business Intelligence/BI Tools such as QlikSense, Tableau• Demand & Visitor Count Forecasting using Python, Pandas, Numpy, Scikit-Learn, Matplotlib• Mentored junior data scientists, fostering a culture of continuous learning and best practices in coding, model development, and business communication.

• Working as main responsible for Trend Forecasting Project and developing project architecture end-to-end • Managing web crawling applications for data analytics projects with Python and Selenium• Maintaining AdHoc Analysis & Reports with Python and Power BI, developing problem-solving skills

• Developing advanced statistical analysis and machine learning algorithms in SQL, Python and Tableau• Managing Demand Forecasting Project from zero to deployment in 6 months• Solving business problems using Clustering, Market Basket Analysis, Time Series Analysis, Correlation Analysis

• Generating insights about bottlenecks through data analysis in construction processes and creating action plans