Chakradhar Muddasani
San Marcos
Summary
Data analyst and analytics engineer with expertise in AWS, skilled in transforming large datasets into actionable insights using Python, Snowflake, and SQL. Developed automated reporting workflows and interactive dashboards to improve operational visibility. Proven track record in creating forecasting models and enhancing cross-functional collaboration through data insights.
Overview
6
6
years of professional experience
Work History
Data Engineer
NeuroNet Solutions Inc
05.2026 - Current
- Build and maintain automated data pipelines and reporting workflows with documented schemas, automated quality checks, and CI/CD deployment - enabling real-time visibility into operational metrics.
- Collect, integrate, and analyze high-volume operational data from commercial and infrastructure systems on AWS (Redshift, Glue, S3, Athena), building unified data models that power analytics and reporting.
- Identified anomalies and optimization opportunities in operational data, translating findings into actionable recommendations for engineering and operations teams to enhance decision-making.
- Develop forecasting and capacity models to support operational planning and resource procurement, applying statistical techniques to project trends from large, time-series datasets.
- Partnered cross-functionally with product and infrastructure teams to scope analytical requests and define requirements, ensuring delivered insights effectively addressed business problems.
- Contributed to internal documentation of data patterns and analytical methodologies, mentoring junior engineers on data handling standards and best practices to strengthen team capabilities.
Data Analyst
Cloudvik LLC
McKinney
05.2025 - 04.2026
- Analyzed and interpreted large, complex operational datasets to uncover trends, correlations, and anomalies, delivering strategic insights for high-impact client projects.
- Developed forecasting and predictive models using Python (Pandas, NumPy, Scikit-Learn), applying statistical and machine learning techniques to support planning and budgeting decisions.
- Designed and managed end-to-end data pipelines - ingestion, transformation, validation, and quality monitoring - providing reliable, analysis-ready datasets for stakeholders.
- Built interactive Tableau and Power BI dashboards for real-time monitoring of KPIs and operational metrics, enhancing visibility for executive and engineering stakeholders.
- Automated data collection and reporting processes using Python and SQL, streamlining operations and facilitating timely, data-driven decision-making.
- Presented analytical findings and recommendations clearly to both technical teams and non-technical leadership, translating complex data into concise, actionable narratives.
Data Analyst
Prowessworks
08.2024 - 04.2025
- Applied statistical analysis and machine learning (Scikit-Learn) to extract actionable business insights; communicated findings effectively to technical and non-technical audiences within Agile delivery cycles.
- Identified trends, anomalies, and optimization opportunities across operational datasets using Python and SQL; implemented anomaly detection processes that reduced cross-system data discrepancies by 30%.
- Developed complex SQL (joins, CTEs, stored procedures, window functions) for large-scale data extraction and transformation, enhancing business governance and reporting processes.
- Designed interactive Tableau and Power BI dashboards and automated KPI reporting workflows, saving approximately 5 hours/week of manual effort.
Application Developer / Data Analyst
Atos Syntel
Chennai
08.2021 - 12.2022
- Developed Tableau and SSRS dashboards for real-time operational visibility; implemented Scikit-Learn for anomaly detection and pattern analysis.
- Built and optimized ETL pipelines and automated reporting solutions across SQL Server and MySQL, enhancing reporting accuracy and reducing manual effort.
- Managed deliverables and deployments in Azure DevOps using CI/CD and Agile/Scrum methodologies.
Data Analyst Intern
Manac Infotech Pvt Ltd
Vijayawada
08.2020 - 11.2020
- Analyzed data trends to support business decision-making processes.
- Authored SQL scripts for data extraction, cleaning, and validation; generated QA documentation and analytical reports to verify accuracy of stakeholder deliverables.
- Created visual reports using data visualization tools for team presentations.
- Collaborated with team members to gather and validate data sets.
Education
M.S. - Data Analytics and Information Technology
Texas State University
San Marcos, TX05-2024
B.E. - Electrical, Electronics & Communications Engineering
Saveetha School of Engineering
06-2021
Skills
- AWS services including S3, Redshift, Glue, Athena, EMR
- ETL/ELT pipeline development
- Data cleaning and validation
- Automated reporting workflows
- SQL expertise in SQL Server, MySQL, and HiveQL
- Data manipulation with Pandas and NumPy
- Machine learning techniques with scikit-learn
- Statistical analysis and forecasting
- Anomaly detection techniques
- Predictive modeling and exploratory data analysis (EDA)
- Capacity and scenario modeling techniques
- Cost projection analysis
- Data visualization with Tableau, Power BI, and Data Warehousing
- Large dataset processing strategies
- CI/CD practices using Jenkins and Azure DevOps
- Agile methodologies including Scrum
- Technical documentation and peer-reviewed code practices
- Version control with Version Control
- Schema design for databases
- Python and Data Visualization programming
Publications
Simulation and Comparison of Electrical Characterization of Transparent and Flexible PZT and PVDF on Si Substrate Based MEMS Piezoelectric Harvester
Technical Skills
Python (Pandas, NumPy, Scikit-Learn), R, SQL (CTEs, window functions, query optimization), Time-Series Analysis, Forecasting, Statistical Modeling, Anomaly Detection, Tableau, Power BI, QuickSight, SSRS, ETL/ELT Pipelines, Automated Reporting Workflows, Data Cleaning & Validation, Schema Design, Large Dataset Processing, AWS (S3, Redshift, Glue, Athena, Lake Formation, EMR), SQL Server, MySQL, HiveQL, Git, CI/CD, Jenkins, Azure DevOps, Agile/Scrum, Peer-Reviewed Code, Technical Documentation, Scikit-Learn, Predictive Modeling, EDA, Capacity & Scenario Modeling, Cost Projection Analysis
Timeline
Data Engineer
NeuroNet Solutions Inc
05.2026 - Current
Data Analyst
Cloudvik LLC
05.2025 - 04.2026
Data Analyst
Prowessworks
08.2024 - 04.2025
Application Developer / Data Analyst
Atos Syntel
08.2021 - 12.2022
Data Analyst Intern
Manac Infotech Pvt Ltd
08.2020 - 11.2020
M.S. - Data Analytics and Information Technology
Texas State University
B.E. - Electrical, Electronics & Communications Engineering
Saveetha School of Engineering