Moumita Patra

Github: https://github.com/Moumita2023/Data-Projects During my Master's at EPITA, I worked on several data science projects, honing my expertise in machine learning, predictive modeling, and data analysis. Below are key projects that showcase my skills: Heart Attack Prediction Model: Developed a predictive model to estimate the likelihood of a heart attack using Python. The project involved data preprocessing, feature engineering, and model building using machine learning algorithms like Random Forest. Results demonstrated significant accuracy and improved medical prediction capabilities. Car Crash Severity Prediction using Orange: Performed data analysis and preparation for a machine learning model to predict car crash severity. This project included cleaning and analyzing temporal, geographical, and feature distribution data. Worked with Orange, a visual programming tool for data mining, to visualize and model car crash severity data, enhancing road safety insights. These projects were executed using Jupyter Notebooks, and I worked extensively with Python libraries such as pandas, NumPy, matplotlib, seaborn, and scikit-learn, as well as with tools like Orange. The hands-on experience I gained from these projects solidified my ability to analyze real-world data, develop scalable models, and present data-driven solutions.

Lead, designed dynamic dashboards, defined KPIs & visualizations in Power BI to replace bi-weekly manual time-writing report Conducted exploratory data analysis (EDA) on financial budget data to identify key insights for data governance team. Transformed complex business problems into data driven solutions using python libraries NumPy, scikit-learn,pandas, matplotlib. Authored financial terminologies new joiners guide documentation & reduced training manual training time by 30%.

-Lead team to design dynamic Power BI reports and presentations, empowering stakeholders to make data drivendecisions 50% faster, trained users. -Analyzed trends, patterns and anomalies in data & provided actionable recommendations that increased operational efficiency by 70%. -Optimized complex SQL queries for seamless data extraction, transformation,analysis, improving data accuracyand reducing query execution time by 40%.

-Automated Manual Reporting: Produced comprehensive reports and visualizations using Power BI to track defectand requirement status, eliminating the need for daily manual Excel reporting before release calls and improving reporting efficiency by 60% for BHSI insurance Accident and Health claims. -Designed and implemented business process workflows, reducing process bottlenecks by 25% for 4 years Expertise in managing concurrent tasks business meetings for requirement gathering, change management, ledtesting process for 17+ releases for BHSI Healthcare claims implementation. -Communicated complex technical concepts in a simplified manner to business stakeholders, fostering strongcollaboration between technical and non-technical teams.

-Acted as Subject Matter Expert (SME) for Accident and health insurance claim critical functionalities of the Chubb Insurance Claims Project having 200+ team members -Creating, managing test cases ensuring full test coverage -Experienced in Agile testing methodologies. -Prepared training materials. Defects analysis, tracking in JIRA, Quality Center for 20+ releases. -Provided functional walkthrough to QA, Dev and other stakeholders for 100+ team members.