Nita Chaudhari

• Used deep learning algorithms to discover new materials for sustainable energy applications, contributing to ongoing research efforts • Enhanced the efficiency of the lab's Python machine learning pipeline by migrating it to the University's high-performance cluster, resulting in a remarkable reduction of data preprocessing time from two weeks to just 2 days

Analyzed data to provide monthly sales forecasts for the Biosciences division that equipped the business with actionable insights, enabling them to make informed adjustments and strategic decisions for sales growth and supply chain optimizations

• Built and deployed a risk prediction model using quantitative and statistical methods to identify potential repeat repair situations and facilitate service visit planning, resulting in a decrease in repeat visits • Implemented GitHub CI/CD workflow ETL pipeline that automated email notifications to reviewers, ensuring timely code review completion • Leveraged MySQL and Python to conduct Pay type Analysis, extracting key insights such as pay type distribution used by the business for strategic decision-making • Utilized MySQL to generate usage reports of the Internal App for the Product Manager to understand product usage • Spearheaded OpenSearch (Elasticsearch) project for the team by creating a comprehensive guide, delivering engaging demos, and empowering colleagues to leverage query DSL for extracting actionable insights from logs • Supported development of parts recommender engine for collision repair thus reducing manual efforts for parts selection • Identified manually overridden parts by determining parts getting replaced with others or removed from the automated system, resulting in a 5% improvement in the performance of the parts automation system • Analyzed data to determine the frequency of sending newly launched guidance video links to customers for self-repair services, how far customers travel to reach the service centers, cancellation rate of service visits at different stages of the service visit process, etc. to find potential areas of improvement for operations team and enhance the overall customer experience

Course : Business Statistics Helping students to improve their statistical concepts for its application in Business. Grading assignments and conducting labs and office hours for 30 students.

• Integrated Adobe Analytics with Insurance application to understand how customers’ navigate through the website • Analyzed consumer behavior by creating visualizations, interactive dashboards, monitoring key performance indicators KPIs, and generating business reports using Power BI • Built scalable ETL pipeline using Apache Airflow to schedule daily jobs to automate the business processes • Held meetings to collaborate with cross-functional teams to communicate key trends obtained from analyzing customer data which was used by clients and stakeholders for business strategy • Wrote MS-SQL queries for providing user with billing data solutions for enabling automatic payments in Insurance product • Responsible for design, development, and unit testing of .Net application that reduced manual data entry efforts by 60% based on technical specifications • Resolved 100+ bugs and complex issues using efficient solutions in the software application to improve code quality by 10% • Ensured smooth deployment during each project cycle using best coding practices, DevOps and Agile methodologies • Responsible for building web services through the integration of third-party services within the application and testing responses for API • Won Pinnacle award out of 30 candidates for outstanding performance at Accenture by meeting a critical deadline for client delivery in short span of 90 days