Mounika Boddu

About Mounika Boddu

Data Enthusiast with over 5 years of experience in SQL, AWS, Azure, Snowflake, SAS, and Teradata, specializing in ETL pipeline design. Education: M.S. in Data Science, AI & ML (3.83 CGPA), University of Central Missouri (Jan 2024 – May 2025) B.E. in Mechanical Engineering (3.76 CGPA), Osmania University (Aug 2016 – Sep 2020) Skills-SAP (SD/MM modules), Order Book Management,Forecasting & Demand Planning -Advanced Excel (PivotTables, INDEX/MATCH, VLOOKUP),Tableau Dashboards & KPI Reporting -Data Cleaning, Modeling & Visualization,Logistics Coordination & Distribution Planning -Cross-Functional Collaboration.Root Cause Analysis & Process Improvement,Ship-to-Plan, Fill Rate, On-Time Delivery KPIs Experience: Business Analyst – Fuge Technologies Inc. Jan 2025- • Automated complex workflows and data pipelines using Python, significantly improved operational efficiency and reducing manual intervention in cloud-based environments. • Designed and developed interactive Tableau dashboards to visualize complex omnichannel data, enhancing cross-functional decision-making and business insights. Business Analyst – Stellantis (Automotive OEM) 2020 – 2024 January • Developed and managed comprehensive ETL processes alongside cloud-based data migration projects on AWS and Snowflake, enhancing infrastructure management by implementing services such as EC2, S3, Lambda, Step Functions, CloudWatch, Redshift, AWS Glue, SNS, SQS, ECR, EMR, Kinesis, Firehose, EBS Volumes and IAM roles and permissions. • Data optimized across SQL Server, MySQL, and NoSQL databases (MongoDB), with experience in data visualization using Power BI and Tableau. Skilled in implementing data mining techniques and transforming large datasets to uncover business insights, leveraging tools like Pandas, NumPy, and Matplotlib. Defence Research and Development Organisation (DRDO), India 20••••20 • Familiar with Azure resources, including Azure Data Factory (ADF) for data integration. • Utilized Azure Databricks to perform data exploration and transformation, enabling preliminary analysis and preparation of data for downstream processes. • Efficient in utilizing Azure DevOps for managing CI/CD pipelines, source control integration, and automated deployments, ensuring seamless collaboration and efficient delivery of data engineering solutions. • Leveraged Control-M for job scheduling and workload automation, creating efficient, repeatable data pipelines and incrementally building data applications to manage and integrate datasets from various sources.

Experience

1. Ai Ml Engineer - Mechatronics

   ALTEN

   Oct 2025 — Present · MI, US

Education

• University of Central Missouri

  Master's degree, Data science and Artificial Intelligence

• Osmania University

  Bachelor of Engineering - BE, Mechanical Engineering

  2016 — 2020