Shreya Madan Mali

Platform Development Intern (Data Analytics Focus)

• Developed a real-time ingestion pipeline by building a data simulator in Python and streaming sensor values via Redis Pub/Sub, supporting live time-series reporting for ~50 unique metrics of energy performance dashboards.
• Automated backend ETL workflows by configuring a Java .jar listener to insert structured data into PostgreSQL, reducing manual data testing efforts by ~40% and enabling seamless integration with internal tools.
• Enhanced data quality and consistency by writing SQL validation checks and resolving ingestion-level errors (e.g., schema mismatches), helping achieve ~95% clean data rates before reaching production dashboards.
• Built a self-service Angular dashboard for internal teams to visualize live sensor metrics, with filters, enhancing trend analysis and reducing dependency on manual reporting by ~30%.

Software Engineering Analyst (Data Analytics & QA Focus)

• Achieved 98% accuracy in data validation by designing test scenarios and documenting detailed test cases across billing and finance modules, ensuring clean data pipelines during UAT and integration testing phases.
• Reduced data-related post-implementation issues by ~20% by analysing functional outputs in SAP IS-U and coordinating with developers to identify logic gaps, which modernized decision-making for client-facing systems.
• Led cross-team data coordination during high-demand support weeks by answering process-level queries from incoming support teams, ensuring alignment on data flows, quality checks, and system behavior.

Employee Compensation Management System (Python OOP)

• Improved HR operational insights by developing a Python-based object-oriented app to calculate weekly compensation and reimbursements across full-time, hourly, consultant, and hybrid roles. GitHub Repo

Truck Driver Risk Analysis Using Hadoop and Tableau

• Identified top 10 high-risk drivers and accident-prone truck models in California by analysing trucking fleet data in Hive/Impala and visualizing patterns with Tableau and R integration. GitHub Repo

COVID-19 Socioeconomic Impact Visualization

• Uncovered how wage levels, urban density, and air quality influenced COVID-19 spread and travel patterns by developing multi-hypothesis Tableau dashboards from CDC, Kaggle, and GitHub datasets. GitHub Repo

The University of Texas at Dallas

Graduated: May 2025

GPA: 3.60

Savitribai Phule Pune University

Graduated: May 2020

GPA: 3.56