Pace University, Seidenberg School of Computer Science & Information Systems

Master’s in Information Systems | Concentration: Information Systems | Honors: Masters

Savitribai Phule Pune University, Modern Institute of Business Studies

Master of Business Administration | Concentration: Business Analytics | Honors: Masters

Savitribai Phule Pune University, Dr. D. Y. Patil College of Arts, Commerce and Science

Bachelor of Business Administration | Concentration: Human Resource Management | Honors: Bachelors

Quantium Data Analytics Job Simulation on Forage

• Completed a job simulation focused on Data Analytics and Commercial Insights for the data science team.
• Developed expertise in data preparation and customer analytics, utilizing transaction datasets to extract valuable insights and deliver data-driven commercial recommendations.
• Extended analytical capabilities to identify benchmark stores for conducting uplift testing on trial store layouts, enabling evidence-based decision-making.
• Leveraged acquired data analytics and insights from previous tasks to create comprehensive reports for the Category Manager, facilitating informed strategic decisions and enhancing commercial applications.

Goldman Sachs Software Engineering Virtual Experience Program

• Completed a job simulation as a Goldman Sachs governance analyst responsible for assessing IT security and suggesting improvements.
• Identified that the company was using an outdated password hashing algorithm by cracking passwords using Hashcat.
• Wrote a memo for my supervisor summarizing a range of proposed uplifts to increase the company’s level of password protection including extending minimum password length and using a dedicated hashing algorithm.

Flight Data Analysis

• Implemented a data collection pipeline using Docker Desktop and extracted samples from large airline flight datasets, ensuring key features like flight delays and carrier information were retained.
• Conducted comprehensive data cleaning and merged datasets into a single entity, utilizing advanced Pandas operations for optimal data format and analysis.
• Trained and evaluated machine learning models (Ridge regression and decision trees) to predict flight delays, achieving 97% accuracy and providing actionable insights for improving flight scheduling.

Predicting the Sales Price of Preowned Cars

• Led a team of 6 to achieve a 96% accuracy in predicting car prices using R.
• Established a scalable framework for diverse datasets, extending the project's impact beyond immediate scope.
• Developed a comprehensive data analysis pipeline including data cleaning, exploration, visualization, model training, and evaluation.

Transit Reservation System Analysis

• Enhanced database normalization, streamlining data organization and minimizing redundancy.
• Refined database schema, improved Reservation table design, and added new attributes.
• Analyzed booking percentages, revenue trends, and demographic data using SQL queries.