Neel Vadlamudi
Retriver Activities Center(Rac) Facility Attendant @University of Maryland Baltimore County
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WORK HISTORY
Retriver Activities Center(Rac) Facility Attendant @University of Maryland Baltimore County
Catonsville, MD, US
Facility attendant @Retriever Activities Center (RAC):Managing the facility and Gym, ensuring safety and conduct of patrons, Volunteering events and tournaments in RAC.
EDUCATION
National Institute of Technology Delhi
Bachelor of Technology - BTech
University of Maryland Baltimore County
Master of professional studies
ABOUT NEEL VADLAMUDI
I am a data-driven analytics professional with a hybrid background in data science, business intelligence, and project coordination. Currently pursuing a Master’s in Data Science at the University of Maryland, Baltimore County (UMBC), and a Bachelor’s in Computer Science Engineering from NIT Delhi, I blend academic depth with hands-on industry experience across financial services, public systems, and AI research.At HDFC Bank, I worked as a Business Analyst and IT Project Manager in the Contract Litigation and RBI-ADF teams. I led cross-functional initiatives to streamline regulatory workflows across 50+ branches, enhanced compliance tracking, and owned user acceptance testing (UAT) cycles for internal system upgrades. I built executive dashboards using Power BI and Tableau to track KPIs, monitor exceptions, and support audit-ready reporting. My work directly improved process turnaround times and regulatory alignment.My data science projects span transit analytics, IoT, geospatial crime mapping, and machine learning. I led a Smart Campus Transit Optimization project analyzing over 3.75 million records using Apache Spark and DataBricks to forecast shuttle demand, simulate congestion, and model CO₂ emissions. I developed interactive dashboards showcasing route centrality and performance insights for operational decision-makers.I also built an air quality forecasting system using IoT sensors (PMS5003, MQ-7) combined with LSTM and XGBoost models for real-time prediction. In another project, I mapped violent crime trends in Baltimore using Python, GeoPandas, and spatial clustering. My AI research explored training transformer models on synthetic datasets to learn nonlinear system behavior.Skills: Data Analysis, Predictive Modeling, SQL, Python, R, Tableau, Power BI, Apache Spark, Databricks, TensorFlow, Scikit-learn, XGBoost, LSTM, NumPy, Pandas, GeoPandas, Jupyter, Excel Dashboards, UAT Testing, Project Planning, KPI Reporting, Regulatory Compliance, IoT Integration, Cloud Deployment, Git, Helm, Kubernetes, NodeMCU, ML Pipelines, Business Intelligence, Stakeholder Communication, Risk Management, Agile, ReactJS (basic), Visio, MySQL, PostgreSQL.Passionate about applying data to solve real problems. Open to relocation. Ready to deliver from day one.
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