Highlights:

Skills:Python, Pyspark, SQL, Excel, Microsoft Power BI, Tableau, AWS, Azure, Databricks, Machine Learning

Data Analyst Intern 01/2024 - 05/2024
Hildreth Institute, Boston, MA United States
Industry: Public Policy Offices
As a Data Analyst at Hildreth Institute, I utilized Tableau, Power BI, and SQL to develop interactive dashboards and automate data workflows. My work focused on improving decision-making efficiency, reducing manual data entry by 90%, and enhancing data accessibility for over 3,000 educational institutions. I applied statistical modeling and machine learning techniques to optimize reporting accuracy and forecasting capabilities, ultimately driving operational improvements and informed business strategies.
Created and optimized interactive dashboards using Tableau and Power BI, increasing decision-making efficiency by 20% and delivering insights to 3,000+ educational institutions. Automated data extraction and transformation workflows from multiple data sources (APIs, web scraping) using Python and SQL, reducing manual data entry by 90% and improving data storage efficiency in AWS S3 and Redshift. Conducted Exploratory Data Analysis (EDA) with pandas, NumPy, and SQL, uncovering trends that informed data model improvements and key business strategies. Applied advanced statistical methods and machine learning techniques to optimize reporting accuracy, reduce operational costs by 25%, and enhance forecasting capabilities. Collaborated with internal teams to streamline data management processes, ensuring reliable and accessible data for decision-making.--
Data Analyst 08/2024 - current
Indukuri Information Services Inc, Goodlettsville, Tennessee United States
Industry: IT Sevices
As a Data Analyst at Indukuri Information Services Inc, I utilize my skills in SQL, Python, PySpark, and data visualization tools like Power BI and Tableau to deliver data-driven insights and optimize business performance. With a strong focus on ETL development, data pipeline creation, and cloud technologies such as AWS and Azure, I support teams in making informed decisions by transforming complex data into actionable insights. I am committed to improving operational efficiency, enhancing forecast accuracy, and collaborating with cross-functional teams to deliver high-quality data solutions.
Engineered data analytics solutions using SQL and cloud platforms (AWS, Microsoft SQL Server), improving data accuracy by 100% and increasing business performance by 25%. Optimized ETL processes by leveraging Apache Airflow, Python, PySpark, and SQL, enhancing operational efficiency by 30% and delivering over 15 insights for key financial decision-making. Developed and implemented predictive models using scikit-learn and statsmodels, improving forecasting accuracy by 20% and ensuring reliable business forecasts. Collaborated with cross-departmental teams to refine data workflows, enhancing data accessibility and business intelligence capabilities by 20%. Automated data extraction and transformation workflows, reducing manual data entry by 90%, and ensuring efficient data storage in AWS S3 and Redshift. Conducted Exploratory Data Analysis (EDA) and statistical modeling, providing actionable insights and improving decision-making accuracy for business strategies. Delivered real-time, interactive data visualizations and dashboards using Power BI and Tableau, enabling the business to track performance metrics and KPIs effectively.--
Senior Software Engineer 04/2021 - 12/2022
DMI Finance PVT LTD, New Delhi, Delhi India
Industry: Financial Services
As a Senior Software Engineer at DMI Finance, I optimized big data pipelines using Snowflake, DynamoDB, Kafka, and PySpark, improving processing speeds by 40% and reducing costs by 25%. I deployed interactive Power BI dashboards and integrated cloud solutions (AWS, GCP), enhancing system reliability and boosting business intelligence capabilities by 20%. My contributions improved reporting efficiency and real-time decision-making, driving better financial outcomes for the organization.
Optimized big data pipelines using Snowflake, DynamoDB, Kafka, and PySpark, improving processing speeds by 40% and reducing operational costs by 25%. Developed and deployed interactive Power BI dashboards and integrated cloud-based solutions (AWS, GCP) to streamline data flow, improving system stability by 20%. Led real-time business intelligence initiatives, improving reporting efficiency by 40% and reducing support queries by 30%. Worked closely with cross-functional teams to enhance data infrastructure and ensure reliable data processing.--
Software Engineer 06/2020 - 03/2021
DMI Finance PVT LTD, New Delhi, Delhi India
Industry: Financial Services
As a Software Engineer at DMI Finance, I optimized data processing using Python, SQL, and NumPy, increasing efficiency by 25% and ensuring 99.9% data integrity. I configured monitoring systems, reducing manual oversight by 40% and speeding up error resolution. Collaborating with cross-functional teams, I integrated cloud solutions, improving data performance across platforms and boosting system uptime by 20%, contributing to a more stable and efficient data infrastructure.
Configured monitoring systems using Linux scripting and SQL, reducing manual oversight by 40% and increasing system uptime by 20%. Optimized data processing efficiency by 25% through Python scripts utilizing NumPy and pandas, maintaining 99.9% data integrity. Collaborated with teams to integrate cloud solutions (AWS, GCP), enhancing batch processing by 20% and improving data performance across platforms. Contributed to system automation and efficiency improvements, reducing operational costs and streamlining processes.--

Malaviya National Institute of Technology 07/2016 - 05/2020
Jaipur, Rajasthan, India
Degree: Bachelor's Degree
Major:Electronics and Communication Engineering
Completed a Bachelor's Degree in Electronics and Communication Engineering from Malaviya National Institute of Technology in May 2020. Developed a strong foundation in electronics, communication systems, and engineering principles, with hands-on experience in data analysis, signal processing, and communication networks. Acquired problem-solving skills and technical expertise, which laid the groundwork for pursuing advanced studies and a career in data analytics and engineering.

Mouli_Chittabathina_Resume