Financial Analyst

PARVESH NAIN

*************@*****.*** 240-***-**** https://www.linkedin.com/in/parvesh-nain/

EDUCATION

University of North Carolina at Charlotte Aug 2023 – Dec 2024 Master of Science in Mathematical Finance Concentration: Financial Data Analytics Relevant Coursework: Stochastic Calculus for Finance, Database Systems, Cross Section and Time Series Econometrics, Financial Elements of Derivatives, Financial Econometrics, Fixed Income Securities and Credit Risk, Financial Economic Theory, Statistical Learning with Big Data, Risk Management and Financial Institutions Bhagat Phool Singh Mahila Vishwavidyalaya, India July 2018 – May 2021 Bachelor of Arts Concentration: Mathematics and Economics TECHNICAL SKILLS

Programming Languages: R, SQL, Python, MySQL

Tools: Microsoft Excel (Pivot Tables, VLOOKUP, Macros), Tableau, Power BI, Power Point, Microsoft Word, QuickBooks

Competencies: Data Visualization, Financial Modeling, forecasting, P&L Analysis, Financial Reporting, Budgeting, Financial Analysis, KPI, Cost Basis Analysis, CFA Candidate

WORK EXPERIENCE

Financial Analyst

Mozza Foods, Los Angeles, CA March 2025 – Present

Supports financial modeling and monthly reporting, applying analytical skills to assist with forecasting and cost analysis.

Manages daily transaction entries and reconciliations in QuickBooks, ensuring accurate financial records and compliance with internal controls.

Graduate Teaching Assistant

University of North Carolina at Charlotte, NC Aug 2023 – Dec 2024

Instructed a total of 150 undergraduate students in College Algebra, through lab sessions.

Guided students in understanding complex mathematical concepts and contributed to an average of 25% improvement in students’ test scores.

Financial Data Analyst

Miles Ahead Education, Chandigarh, India Oct 2021 – March 2023

Analyzed financial datasets, including fee payment trends and expenses for around 80 people, to create reports for optimization of strategic decision-making and resource allocation.

Automated data processing workflows using MySQL, reducing manual eƯort by 30% and enhancing reporting eƯiciency.

Identified cost-saving opportunities, leading to a 15% reduction in administrative expenses through data-driven insights. PROJECTS

Comparative Analysis of State Sports Gambling Market Maturation Dec 2024 – Present

Led a comparative analysis of sports gambling growth in 38 states across USA, with NC gambling maturing 20% faster post- legalization of sports betting (March 2024).

Leveraged historical revenue data from over 1500 rows of statistical models to pinpoint saturation points in NC’s gambling market to enhance forecasting accuracy by implementing targeted adjustments based on seasonal trends. Predicting Beach Visits Using Naive Bayes and Decision Tree Classifiers Apr 2024 – May 2024

Developed Naive Bayes and Decision Tree classifiers to predict beach visits using weather attributes and evaluated models with 2-fold cross-validation.

Conducted analysis in R and achieved 71.4% accuracy with the Naive Bayes model, surpassing the Decision Tree model’s 57.1%, demonstrated Naive Bayes' superior predictive performance. Analysis of Factors Influencing Wage Levels Using Multiple Regression Oct 2023 – Dec 2023

Analyzed wage changes using econometric models with datasets from Wooldridge and built an initial linear regression model in R (R-squared: 16.7%) and expanded to multiple regression, raising the R-squared to 68.9%.

Presented multiple regression models that reduced model bias, and enhanced predictive accuracy, providing more robust insights into wage factors.

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