• Programming Languages: Python (Pandas, Numpy, scikit-learn, Matplotlib), Java, SQL

• Data Visualization Tools: Tableau, Microsoft Power BI

• Data Handling and Analysis: Excel, Google Sheets, Web Scraping (JSON, CSV)

• Software Tools: Microsoft Office Suite, PowerPoint

• Integration and Reporting Tools: Visual Studio, SSIS, SSRS, SSMS

• Education: Bachelor's of Computer Science, Minor: Mathematics (GPA: 3.7)

• Certificates: IBM Data Science Professional Certificate, Springboard Data Analytics Career Track 

• Language: English, Hindi

Data Analytics Generalist | 

Notre Dame Federal Credit Union                                              October 2024 - Present

• Write and optimize complex SQL queries to support reporting, audits, and business analysis across departments.

• Develop and maintain SSIS packages for ETL processes, ensuring smooth data integration from internal and third-party systems into the data warehouse.

• Design, schedule and distribute SSRS reports to provide automated insights on financial performance and member trends.

• Analyze transaction and member behavior data to identify product usage patterns, boosting cross-sell strategiesand campaign success by 15%.

Mathematic Tutor | 

Indiana University South Bend                                                 August 2020 - May 2023 

• Provided personalized one-on-one tutoring to IU students in Algebra, Statistics, and Calculus courses.

• Collaborated with faculty and fellow tutors to develop innovative problem-solving strategies, leading to a 50% reduction in drop-out rates, 25% improvement in student engagement, and 35% increase in course passing rates.

 Data Analyst Internship | 

University of Notre Dame                                                     June 2021 - December 2021

•  Engaged in analyzing mass shooting data for the Trigger of Mass Killing project, identifying key features correlated with mass shooting occurrences across the United States. 

• Conducted NLP and Python analysis on 600,000+ news articles, identifying 1,000+ political and journal assassinations, enhancing understanding of mass killing triggers.

• Utilized data visualization techniques to effectively communicate insights from diverse datasets, contributing by providing technical assistance and support coordination.