• Developed and maintained data visualizations, reports, and dashboards.• Analyzed complex and large data sets to identify patterns, trends, and insights that can be used to reform business decisions.• Developed machine learning models to meet HR and data analytics business requirements.• Developed time series forecasting model with multiple Banking sectors.• Designed SSRS dashboards and custom reports• Implemented automation for effective reporting and comms sent to stake-holders and vendors.• Redesigned effective methods to translate unorganized data into structured data solutions.• Developed Python scripts to generate events based on predefined triggers/conditions and integrate them with the MoEngage platform for seamless event distribution and monitoring.• Created and configured SSIS packages to automate data extraction, transformation.• Automated loading tasks according to predefined schedules, ensuring effective data processing.

• Assisted in designing and implementing NLP based machine learning models and algorithms.• Participated in the development and implementation of data-driven decision-making processes.• Conducted workshops for data analysis and experimentation to test and improve machine learning models.

Responsible for data understanding, data preprocessing, data visualization, model building using machine learning models and deploying the solution on cloud platforms.Skills: Business Analytics · Microsoft Power BI · Scikit-Learn · pandas · NumPy · Microsoft Excel · Data Analysis · Tableau · SQL · Python (Programming Language) · Machine Learning

Analyze processes, identify root causes of problems and make recommendations for process improvements and/or modifications. Continuously expand knowledge in area of specialization and seek new ways to evolve processes and program. Perform other duties as required. Understand the reporting / dashboard development processes and drive improvements.