Vedant Kothari

Hi, I'm Vedant Kothari

MSc Accounting (Data & Analytics)|

About Me

I'm a data-driven accountant completing an MSc at Singapore Management University, specializing in Data & Analytics. With diverse internship experiences, I bring a unique perspective to financial analysis. I merge traditional accounting principles with modern data analytics to drive smarter business decisions. When I'm not buried in numbers or code, I enjoy photography, tech, watching f1, football, and cricket, and staying active through sports, walks, or cycling. I also like tinkering with side projects and building apps whenever I get the chance. It's a fun way to learn and stay creative.

Work Experience

  • Managed in-store sales operations and cultivated client relationships
  • Collaborated with 50+ clients to provide tailored art investment recommendations
  • Maintained and updated the online artwork catalog using database management systems
  • Analyzed sales data to identify trending art pieces and optimize inventory
  • Recorded and reconciled daily financial transactions ensuring accuracy
  • Supported the preparation of financial reports by compiling data and performing basic calculations
  • Gained proficiency in accounting software to support daily operations
  • Assisted in preparation of tax returns for clients
  • Compiled and analyzed client statements and bank records
  • Maintained accurate client transaction records using accounting software
  • Researched tax regulations and helped identify potential deductions for clients

Education

Master of Science in Accounting (Data & Analytics)

GPA: 3.26/4.0

Relevant Coursework: Financial Accounting, Financial Analytics, Machine Learning for Finance, Data Visualization, Advanced Statistics, Python for automation, AI for business

Bachelor of Commerce

CGPA: 7.4/10

Relevant Coursework: Financial Accounting, Cost Accounting, Business Statistics, Corporate Finance, Taxation

Technical Skills

Python R SQL Tableau Excel

Projects

Developed a machine learning model in Python to predict Formula 1 race winners

  • Analyzed 5+ years of historical F1 data including driver statistics, track conditions, and team performance
  • Implemented Random Forest and XGBoost algorithms for prediction
  • Created interactive visualizations using Plotly to display race predictions and insights

Currently working on a real-world analytics consulting project with a Singapore-based company

  • Conducting comprehensive data analysis to identify business optimization opportunities
  • Building predictive models to forecast customer behavior and revenue trends
  • Developing automated dashboards for real-time business intelligence