Graduate student in Information Management at the University of Illinois Urbana-Champaign specializing in data pipelines, machine learning systems, and full-stack analytics infrastructure.
I work primarily with Python, SQL, Power BI, and data systems. My focus is on building data engineering pipelines, applying statistical modeling to real-world datasets, and developing analytics dashboards.
Competitive analysis dashboard benchmarking Truist digital banking against peer institutions using 598K CFPB consumer complaints and 2M app store ratings. Features a dynamic RICE framework backlog prioritization. Technologies: JavaScript, Node.js, REST APIs
Quantitative analysis of the relationship between global supply chain pressure (NY Fed GSCPI) and US consumer inflation (FRED CPI). Features a Streamlit dashboard with dual-axis visualizations and Pearson correlation metrics. Technologies: Python, Streamlit, Plotly, Power BI
Video verification platform for deepfake detection. Implements a FastAPI backend with HuggingFace models, multi-signal frame analysis, and a Streamlit dashboard for risk report visualization. Technologies: Python, FastAPI, PyTorch, HuggingFace, OpenCV
Star schema data warehouse for tracking UIUC graduate employment outcomes. Includes a SQL ETL pipeline feeding interactive Tableau dashboards. Technologies: SQL, Tableau
Languages: Python, R, SQL, JavaScript, HTML, CSS Data & ML: pandas, NumPy, scikit-learn, PyTorch Visualization: Power BI, Tableau, Plotly, Seaborn, Altair Backend & APIs: FastAPI, Node.js, Streamlit Cloud & Infrastructure: Azure, GitHub Pages, Git
- LinkedIn: Atharva Sathaye
- Portfolio: atharvasathaye.github.io
- Email: [email protected]