Support business decision-making at C-suite level through risk-based reporting, data mining, and statistical analysesProvide cross-departmental visibility by defining Key Performance Indicators (KPIs) to measure and enhance the performance of internal business processes such as operations, revenue, and customer interactions

• Created product management and development frameworks for evolving asset classes to help Principal Global Investors retain customers and gain market share by recommending algorithms to optimize portfolio construction• Performed exploratory visual analysis using Tableau features such as dynamic filters, Likert charts, and clustering to analyze performance metrics that helped evaluate investment strategies to generate higher portfolio returns in the smart beta funds space

• Analyzed KPIs such as clock-in/clock-out timings and productive hours per sprint by transforming and storing data from Azure DevOps using Logic Apps, and designing interactive dashboards using Power BI advanced features• Increased customer base of Child Care and Development Fund (CCDF) by 25% through end-to-end requirements gathering and incremental feature enhancements through design level discussions with State Government of Indiana stakeholders• Decreased Microsoft LUIS-based chatbot script processing time by 35% for AHS Child Care plan-related queries for low- income households, using Python and Power BI

• Led a cross functional team to perform technical upgrades in product development life cycle using Agile methodologies• Helped product owner to take critical business decision by implementing ETL (data transformation, calculation rules) on the PLC data to derive business insights and designing dashboard reports on the KPIs• Transformed requirements into technical specification in backlogs by driving business design discussions with stakeholders• Saved 20% development efforts for other teams by creating back-end service in C++ for SQLite data storage handling• Increased SonarQube report scores by 35% by tuning SQL queries and refactoring methods using efficient data structures

• Carried out study of the design and manufacturing of the Wind Nacelle• Interacted with various engineers and workmen to identify areas of low productivity• Provided solutions to improve the working efficiency of the workmen• Carried out fault tree analysis to identify areas of fault so that those areas can be dealt with quickly so as to improve productivity by reducing the fault clearing time.

• Studied the 8051 microcontroller using Keil C Language• Designed a Water level detector to detect the level of water in a storage tank in a building.• Designed a Traffic Light controller for automatic switching of the Traffic lights without any manual control.

Worked on various parts of THE HAWK MK132 during the training period

Organised an event named as TECHROADIES at SAEINDIA student convention southern section.