• 👋 Hi, I’m @MrunmayMuduli, Decision scientist at Mu Sigma Pvt. Ltd.
• 👀 I’m interested in Data Scientist, Data Analyst and Business Analytics roles
• 🌱 I’m currently learning Data science and ML from scaler academy
• 💞️ I’m looking to collaborate on LinkedIn
• 📫 How to reach me https://www.linkedin.com/in/mrunmay-muduli/

Mrunmay Muduli Bangalore, India 560037 | +91 7008756817 | mrunmaymuduli1@gmail.com LinkedIn Profile | GitHub Profile Experienced Data Professional Dynamic and results-oriented data professional with 5+ years of experience in data engineering, data mining, predictive modeling and machine learning applications. Skilled in delivering high-quality solutions across industries, including healthcare, telecom, BFSI and retail. Skills Data Mining & Predictive Modeling: Linear Regression, Logistic Regression, Clustering (K-means, DBSCAN), Decision Trees, Random Forests, Boosted Trees, Anomaly Detection, Time Series (SARIMAX, Prophet), Neural Networks, Sentiment Analysis. Programming Languages: Python, Scala, R, SQL. Cloud, Big Data Platforms & Data Warehouses: AWS, Azure, SageMaker, Redshift, BigQuery, Hadoop, Hive, PySpark, Spark SQL, Kafka, DataBricks. Data Visualization & Analytics Tools: Tableau, Power BI, Streamlit, DASH, RShiny. Databases & Data Management: RDBMS (MySQL, PostgreSQL, Oracle). Version Control & IDEs: Git/GitHub/GitLab, VS Code, PyCharm. ETL & Workflow Automation: ETL processes, Airflow. Business Tools and Others: Excel, PowerPoint, Word, Jira, Confluence, SIP, Networking, Linux/Unix. Professional Experience Lead Software Engineer Persistent Systems Pvt. Ltd, Bangalore 03/2024 – 06/2024 • Created an efficient ETL pipeline that integrated diverse data sources and ensured data integrity, delivering 99.9% uptime and providing reliable access to key datasets for analysis and reporting tasks. • Demonstrated expertise utilizing ETL tools, including SQL Server Integration Services (SSIS), Data Transformation Services (DTS), and DataStage and ETL package design, and RDBM systems like SQL Servers, Oracle. Decision Scientist Mu Sigma Business Solutions Pvt. Ltd, Bangalore 01/2023 – 02/2024 • Implemented a Power BI dashboard to visually analyze the clinical trial performance of a prominent pharmaceutical company using survey data, resulting in a 20% decrease in complaints. pearheaded pre trained NLP framework for sentiment analysis of free text questions. • Automated RWE Analytics with a user-friendly frontend interface using R Shiny executed R and SQL in the backend to retrieve data from AWS Redshift, achieving a 30% decrease in manual work. • Planned a POC simulation model incorporating agent-based models and Bayesian networks to improve the accuracy of clinical trial recruitment prediction by 15%. Developed the model using Python in the backend and visualized output with Plotly and DASH/Streamlit. Software Engineer Great Software Laboratory (GS Lab) Pvt. Ltd, Pune 03/2021 – 01/2023 • Engineered time series forecasting models to predict sales and revenue in a telecom company, enhancing forecasting accuracy by 15% using SARIMAX and Prophet for improved financial planning. • Experienced in designing and implementing ETL procedures and data warehousing solutions, ensuring accurate and reliable data from diverse sources. Skilled in optimizing data loads, maintaining metadata, performing root cause analysis, and collaborating cross-functionally to align data management systems with business needs. • Developed and optimized data pipelines from 5+ sources, automating ETL processes for a web application used by 1000+ users and decision-makers, built on RESTful APIs with Hadoop, SQL, and Python. • Utilised SQL queries to identify and resolve call cost related issues resulting in a 15% reduction in customer complaint and increased cost efficiency. Systems Engineer Tata Consultancy Services Pvt. Ltd, Hyderabad 12/2018 – 03/2021 • Implemented an XGBoost model for loan default prediction in a BFSI institution, using feature engineering and a precision-recall trade-off to achieve a 75% recall rate and enhance risk management. • Built a real-time data pipeline for retail sales analytics using PySpark, and Spark SQL, automating ETL processes and reducing data processing time by 35%. • Analyzed 2,500 households' transactions and 100,000 orders for a retail giant, extracting insights on demographics, direct marketing, spending patterns, and customer satisfaction. Education Bachelor of Technology ITER, Siksha 'O' Anusandhan University, Bhubaneswar | 2018 Certificate in Full-Stack Data Science and Machine Learning Scaler Academy, Remote | 2025