Mrunmay Muduli
Cincinnati
Summary
7 years of experience working with data across multiple domains. Over the years, built large-scale data pipelines, automated ETL processes and developed ML models using cloud platforms like AWS and Azure. One of my most impactful projects improved pipeline performance by 22% within six months, leading to faster and more reliable insights.
Overview
7
7
years of professional experience
Work History
Analytics Engineer
University of Cincinnati
Cincinnati
09.2025 - Current
- Built production-ready Streamlit applications in Python to support analytics and business users, focusing on performance, caching, and clean UI patterns.
- Designed reusable Streamlit components (filters, visualizations, exports) to standardize dashboard development.
- Partnered with data science stakeholders to translate analytical requirements into scalable applications.
Senior Data Engineer
Capgemini
Bangalore
01.2025 - 08.2025
- Migrated large-scale telecom analytics pipelines to Databricks and PySpark, enabling faster and more reliable analytical workloads.
- Built and optimized ETL pipelines (100TB+) integrating Hive, MongoDB, Kafka, and S3, reducing processing delays by 22%.
- Supported analytics and ML teams by curating reliable, reusable datasets for modeling and reporting use cases.
Application Developer
Pfizer
Remote
09.2024 - 12.2024
- Migrated and transformed clinical trial data to CDISC SDTM/ADaM for regulatory submission within 4 months, accelerating compliance readiness about 40%.
- Developed ARD datasets using R Programming and SQL, improving data traceability and reducing manual validation effort by 31%.
Senior Data Engineer
Persistent Systems
Bangalore
03.2024 - 08.2024
- Built batch ETL workflows with optimized SQL, advanced Snowflake capabilities and data modeling to integrate data from 5+ sources within 2 quarters, driving process improvements and enhancing customer experience.
- Improved data and content accuracy by 25% through customer specific logic and optimized delivery, boosting site responsiveness.
Data Scientist
Mu Sigma Business Solutions
Bangalore
01.2023 - 02.2024
- Developed and maintained R Shiny dashboards for clinical trial and real-world evidence analytics, used by business and data science teams.
- Automated analytics workflows using R, SQL, Power BI dashboards, and Redshift enable faster insights and improved experimentation cycles.
- Built a Python POC for agent-based modeling and Bayesian networks, collaborating closely with advanced analytics teams.
Data Engineer
Great Software Laboratory
Pune
03.2021 - 01.2023
- Developed an XGBoost model to predict customer churn with 81% accuracy, using feature-engineered telecom usage data.
- Developed data pipelines from multiple sources using PySpark, AWS Glue, S3, Redshift, Step Functions, and web scraping to support a web app for 1,000+ users in Agile sprints.
Data Analyst
Tata Consultancy Services
Hyderabad
12.2018 - 03.2021
- Developed PL/SQL database procedures and scripts to automate data processing for MANREGA, reducing runtime by 30%, and improving accuracy across 100K+ rural work records.
- Built a SQL-based ETL pipeline to ingest and transform over 1 million daily financial transactions, integrating with reporting tools for fraud detection, and delivering timely customer insights.
Education
MS - Business Analytics
University of Cincinnati
Cincinnati, USA08.2026
B.Tech - Mechanical Engineering
SOA University
Bhubaneswar, India05.2018
Skills
- Python
- R Programming
- Databricks
- Kafka
- PySpark
- AWS
- Azure
- MongoDB
- OLAP
- OLTP
- RDBMS (MySQL, PostgreSQL, Oracle)
- Hive
- Redshift
- Snowflake
- Airflow
- Terraform
- Dash
- Power BI
- R Shiny
- Streamlit
- Tableau
- Gen AI
- Machine Learning
- Neural Network
- Statistical modeling
- CI/CD
- Confluence
- Docker
- Github
- Jira
- Linux
- Posit
- Rest API
- VS Code
Projects
Marketing analytics for a DTC brand to understand Media ROI, 08/2025, 12/2025, Executed geo-incrementality tests, MMM, and triangulation analysis to quantify media ROI, isolate seasonal effects, and forecast sales for a fast-growing DTC fashion brand. ML model for Anomaly detection, 11/2024, 12/2024, Detected anomalies using Random Forests and Decision Trees for a telecom client. Feedback Engine using NLP (Healthcare), 12/2023, 01/2024, Deployed Hugging Face Transformers to classify patient sentiments; integrated results into dashboards for clinical teams.
Timeline
Analytics Engineer
University of Cincinnati
09.2025 - Current
Senior Data Engineer
Capgemini
01.2025 - 08.2025
Application Developer
Pfizer
09.2024 - 12.2024
Senior Data Engineer
Persistent Systems
03.2024 - 08.2024
Data Scientist
Mu Sigma Business Solutions
01.2023 - 02.2024
Data Engineer
Great Software Laboratory
03.2021 - 01.2023
Data Analyst
Tata Consultancy Services
12.2018 - 03.2021
MS - Business Analytics
University of Cincinnati
B.Tech - Mechanical Engineering
SOA University