• Implemented a predictive model on structured and unstructured data that increased forecasting accuracy by 30%, resulting in $1 million in cost savings using time series modeling.• Automated retrieving authentication tokens by developing a Python script using API integration, reducing manual processing time by 80% for Tableau dashboard updates.• Advised executive/C-level stakeholders on AI adoption strategies, driving a transformative agenda that maximized organizational value by 33% within corporate real estate.• Streamlined data preparation by automating data queries, cleaning, and feature engineering processes, reducing data preparation time by 40% and enhancing model accuracy by 15%.• Developed data models to identify revenue growth, using predictive analytics to boost profitability by 15%.• Conducted in-depth exploratory data analysis on expense data to uncover trends and insights, improving forecasting accuracy by 20%, and presented key insights to senior management for strategic decisions.• Facilitated communication between business and technology stakeholders, aligning diverse perspectives to streamline project execution and enhance stakeholder engagement.

• Led a data science project utilizing web scraping techniques to collect web-scale data, saving 2 hours of manual research time and applying advanced methodologies.• Guided students using Python and SQL for large-scale data analysis, improving student project accuracy by 15%.• Assisted in teaching data science concepts, including statistical analysis and data visualization techniques

•Leveraged large-scale database analysis to drive strategic business decisions, resulting in a 60% improvement in financial reporting reconciliation through Alteryx and UiPath automation.•Utilized data preprocessing techniques to clean, normalize, and transform raw data into meaningful datasets, leading to a 62% increase in reporting quality.•Applied data storytelling skills to visualize and communicate key business drivers, ensuring alignment with business goals by providing daily, monthly, quarterly, and annual data-driven insights.•Led cross-training initiatives on data automation tools like Alteryx and UiPath, significantly improving data integration efficiency by 85% and enabling faster, more accurate report generation.•Trained three business users in creating ad-hoc business reports using Tableau, increasing efficiency by 80%.•Managed daily revenue reporting for corporate and investment banking across Asia, Europe, North America, and Latin America, including internal and external legal entity regulatory reporting and handling of MIS systems in financial planning and analysis.

• Conducted market research and analysis to identify adoption opportunities for Blockchain, CBDC, and NFTs, positioning the company as a market leader and increasing revenue potential by 20%.• Transformed data into actionable insights, optimizing business decisions by 30% and reducing deal closure times by 20%.• Communicated insights from data analysis to stakeholders, translating technical findings into actionable business strategies that led to a 33% increase in revenue with PowerBI dashboards.• Demonstrated ability to manage a virtual portfolio of cryptocurrencies of Rs 1,00,000 with 46% profit.

• Collaborated with 3 software developers to integrate NoSQL databases into applications, ensuring smooth functionality and seamless data management, reducing downtime by 30%.• Executed optimized SQL queries to enhance ETL processes, improving data extraction, transformation, and load efficiency, resulting in a 40% increase in processing speed and faster access to reliable insights.• Developed data models and automated ETL processes, standardizing reporting to improve accuracy and speed and cutting report generation time by 50%.• Mentored three interns in SQL, boosting their skills and performance by 60% and enhancing their contributions to team projects.