🎓 Graduate Student in Data Analytics at Webster University | Experienced Big Data Developer & Data Science EnthusiastI am a highly driven Data Analytics graduate student with a solid background in software development, data engineering, and machine learning, paired with hands-on experience from my previous role at Tata Consultancy Services (TCS). In my professional journey, I have successfully tackled complex data challenges, transforming and analyzing large datasets to drive insights and support data-driven decision-making.🌟 Key Projects & Achievements:Human Capital Analytics: Analyzed employee attrition for actionable insights using machine learning models like classification trees, achieving 97.77% accuracy and suggesting strategies for retention.Loan Decision Analytics: Developed predictive models for loan approvals, optimizing for accuracy and compliance, including risk-based segmentation through clustering for targeted loan offers.Event Management System: Created a robust database for event coordination, employing ER models and normalization for efficient data organization and retrieval.Divvy Bike Share Analysis: Mapped community engagement with bike-sharing in Chicago using spatial data and graph databases, identifying patterns in bike usage across communities.💼 Work Experience: As a Big Data Developer at TCS, I led data migration and transformation initiatives, specifically within the Mainframes Modernization project. My role involved developing Spark-based solutions for data processing, applying TDD for quality assurance, and contributing within Agile teams using Atlassian tools.🔧 Technical Skills:Programming: Python, R, SQL, Java, PySparkData Analytics & Visualization: Power BI, Tableau, ExcelTools & Methodologies: Data Transformation, EDA, Predictive Modeling, TDD, Agile Project Management (Jira, Confluence)I am passionate about leveraging my skills in data science, predictive analytics, and big data to solve real-world problems, and I am excited about opportunities that allow me to make a measurable impact. Let's connect if you’re interested in collaborating on data-driven projects or exploring innovative analytics solutions!