Radhika Ganesh
@radhikaganesh
Data Analyst with expertise in machine learning and data visualization.
What I'm looking for
I am a dedicated Data Analyst currently pursuing my Master of Science in Computer Science at Indiana University Bloomington, where I maintain a CGPA of 3.87. My academic background includes a Bachelor of Technology in Electrical Engineering from Sardar Patel College of Engineering in Mumbai, where I ranked 3rd in my department. I have a strong foundation in data analysis, machine learning, and statistical methods, which I have applied in various professional settings.
In my current role as a Data Analyst at Project 990, I engineered ETL pipelines and utilized big data technologies to enhance data processing efficiency significantly. My previous experience at Axis Bank involved leveraging advanced analytics to drive decision-making in credit risk management, resulting in substantial improvements in loan approval rates and default reductions. I am passionate about transforming complex data into actionable insights and have developed numerous interactive dashboards to visualize trends and support strategic initiatives.
Experience
Work history, roles, and key accomplishments
Data Analyst
Project 990
Feb 2025 - Present (4 months)
Engineered ETL pipelines using Alteryx, Python, MySQL, and Snowflake, orchestrated with DBT, to process 100,000+ IRS Form 990 tax filings and Business Master File records for downstream analysis. Leveraged Hive, Hadoop, and Apache Spark to query and store distributed datasets, reducing processing latency by 35% and ETL execution time from 6 hours to under 2 hours.
Software Engineering Intern - Data Solutions
SafeSpace
Jun 2024 - Present (1 year)
Analyzed user interactions using SQL and Python scripts, identifying trends driving a 10% expected retention increase. Integrated Google Analytics with event tracking, improving journey visibility and reducing 3 key drop-offs by 18% post-redesign.
Data Analyst - Credit Risk
Axis Bank
Aug 2021 - Present (3 years 10 months)
Leveraged Python, SAS Enterprise Guide, SQL, and AWS Redshift to extract key risk metrics across 5 loan categories, creating visualizations with SAS Viya, Tableau, Power BI, and QuickSight for enhanced decision-making. Automated risk dashboard generation using AWS S3 for storage, AWS Glue for ETL, and AWS QuickSight for visualization, saving 48 hours of manual labor monthly and improving operation
Education
Degrees, certifications, and relevant coursework
Sardar Patel College of Engineering
Bachelor of Technology, Electrical Engineering
Grade: 9.46/10
Completed a Bachelor of Technology in Electrical Engineering, ranking 3rd in the department with a CGPA of 9.46/10. Relevant coursework included C++, Image Processing, Artificial Intelligence, and Numerical Techniques and Programming (MATLAB).
Indiana University Bloomington
Master of Science, Computer Science
Grade: 3.87/4
Pursued a Master of Science in Computer Science, focusing on advanced topics such as Applied Machine Learning, Advanced Database Concepts, Data Mining, Elements of AI, and Information Visualization. Achieved a CGPA of 3.87/4, demonstrating strong academic performance in the field.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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