• Engaging in collaborative efforts with the Generative AI team to develop LLM models for BMW Group, focusing on AI chat, text generation, and imagination.• Pioneering innovation within the AI Center of Excellence team across various applications such as generative chatbots, sentiment analysis, architectural design, and API management.• Collaborated with functional, business and EC members to analyze customer behaviour, demographics, and sales analysis and create dashboards & and recommendation models for customer retention and churn prediction for BMW Group. • Collaborated with product owners and stakeholders across the organization in an agile environment to convert key business requirements into technical specifications to obtain 90% of KPIs using Tableau, ETL methodology and Snowflake.• Implemented machine learning-based Loyalty and profit Forecast model, personalized Customer Specific Forecasts, and Separate Retention Forecasts to optimize Customer Lifetime Value (CLV) and drive profitable client relationships. • Designed automated internal budget approval application with Power Apps and Power Automate eliminating manual workflows.• Created a BERT-based model for sentiment analysis on BMW Finance reviews and conducted topic modeling using NLP techniques.• Designed and implemented a Financial Services Health Scorecard to assess the overall health of KPIs and eliminate redundancy. • Developed a Value/Risk Matrix framework to evaluate use cases and guide resource allocation decisions.

• Drive business strategies and actions through extensive use of data, statistical and quantitative analysis, exploratory and predictive data analysis, and fact-based decision-making. Additionally creating sensitivity analysis on linear programming model parameters.• Apply optimization models to areas such as marketing, retail, manufacturing, finance, engineering, business, and managerial decision-making, strategy development and develop solutions to transportation, transhipment, and network problems.• Analyzed university-provided mapping documents for data transfer using ETL data through IBM Cognos, performed exploratory data analysis, cleansed, and derived new columns using feature engineering to forecast budgets.• Populated the data and created interactive Dashboards in Tableau to discover the Northeastern University operational budget trend for 2025, to develop strategies for academic fiscal planning and budget allocation.• Perform simulations create a statistical analysis of simulation results and apply appropriate forecasting methods for the properties of the available data. Handle linear and non-linear optimization/programming problems. Communicate issues in enterprise analytics.

• Directed the education of 780 students, overseeing operations, marketing, and organizational functions. Managed 72 employees across three departments to execute curricula, meet parent-student requirements, and implement instructional strategies.• Took on a leadership role, instructing Mathematics and Statistics while collaborating with a team of 72 employees across multiple departments to execute curricula, ensuring alignment with parent-student needs and instructional objectives.• Facilitated interactions with diverse clients, addressing investment concerns, and organizing meetings to ensure the delivery of high-quality results.• Analyzed data sourced from various departments, providing trustees with Tableau dashboard visualizations to guide decisions regarding finance, marketing, and advertising strategies. Employed root cause analysis and strategic planning, resulting in a 78% growth rate post-COVID. • Led the strategic expansion of the school, overseeing enrollment growth, infrastructure development, and academic program enhancements, resulting in a thriving educational institution leading to strategic growth.

• Applied Data Mining tools like Selenium and Beautiful Soup for a web scraping solution to scrape data freight rate optimization and Supply chain visibility by interacting with various web pages to create a reliable backend lookup.• Architected Azure ETL pipelines using Data Factory and Databricks, facilitating accurate and efficient data processing. Built data lakes and warehouses to extract, transform, and load data from various sources into the company's data store. • Implemented NLP algorithms on client service-email data to classify customer satisfaction and analyze agent behaviour patterns. Collaborated to label audio data and created 500+ voice-to-text records for audio sentiment analysis using speech recognition. • Executed Data tagging of service now tickets into categories to further analyze the most common issues and determining the root cause further reducing the SLA by 70% of the time required.• Collaborated in the ongoing migration of on-premises application data (financial, marketing, sales, CRM) to Snowflake data warehouse, utilizing AWS S3 and Glue services to facilitate future advanced analytics and reporting capabilities. • Integrated data from multiple data sources, performed EDA and Developed complex reports using ETL and MySQL to examine the discrepancy and determine the best possible for the Client.• Designed and developed automated reports to monitor trends in KPIs using ETL, MySQL Server, and Tableau reducing the manual performance monitoring efforts by 70%.• Streamlined and enhanced reporting workstreams using Tableau, ETL and MySQL. This reduced overall processing time by 75% while delivering new insights to the clients.• Evaluated Performance Analysis for fleet utilization, fuel consumption patterns, and maintenance schedules to optimize vessel performance, reduce operational costs, and ensure compliance with environmental regulations.