MANISH VIJAY
Jaipur
Summary
Analytical Senior Process Associate with expertise in financial analytics, valuation, and credit analysis for middle-market and public companies. Developed financial models and analyses utilizing DCF valuation and comparable company analysis, enabling informed strategic decisions. Focused on regulatory compliance and effective collaboration while employing Python for financial analysis and reporting.
Overview
6
6
years of professional experience
Work History
Senior Process Associate
Tata Consultancy Services
02.2025 - Current
- Conduct financial spreading across multiple report types for middle-market, public companies, and equipment finance portfolios, consistently delivering 100% accuracy and meeting all deadlines.
- Reviewed 10-K filings and quarterly financial statements, conducting financial spreading, reconciliation, rolling statement preparation, ratio analysis, and QAP analysis to support accurate credit assessments.
- Enhance regulatory and covenant compliance by maintaining up-to-date knowledge of industry standards; manage covenant records and review loan agreements, credit memos, and supporting documentation to ensure compliance and data integrity.
- Developed and maintained financial and valuation models to analyze historical performance and future projections; performed valuation analysis, personal tax return spreading, personal financial statement spreading, and LexisNexis report generation using Python for data analysis in Jupyter Notebook.
Senior Associate
WNS Global
02.2023 - 04.2024
- Conducted financial spreading and credit analysis for middle-market, public, and equipment finance portfolios, assessing risk to inform lending decisions.
- Monitored covenants and ensured regulatory compliance while reviewing loan agreements and credit documentation to mitigate risk in lending operations.
- Performed valuation and financial modeling using DCF and comparable company analysis techniques.
- Financial statement analysis, including ratio analysis, QAP analysis, and rolling statement preparation.
- Developed advanced Excel financial models to support commercial banking initiatives, enhancing decision-making processes.
- Python-based financial analysis (NumPy, Pandas, Matplotlib, Scikit-learn) and LexisNexis reporting.
Valuation Analyst
Resurgent India
02.2022 - 01.2023
- Performed valuation analysis using Discounted Cash Flow (DCF), comparable company analysis, and ESOP valuation (Black-Scholes) to determine the fair value of companies and investments.
- Developed valuation reports and presentations for merchant banks and stakeholders, ensuring compliance with valuation standards to support informed decision-making.
- Analyzed historical and market data, calculating volatility using logarithmic returns and standard deviation to deliver insights that guided investment decisions.
- Reviewed and compiled financial statements (income statement, balance sheet, cash flow statement) to ensure accuracy and reliability for financial assessments, enhancing data integrity.
- Built financial models to evaluate financial performance, projections, budgeting, forecasting, and strategic planning.
Data Science Intern
Peacock solar
Gurugram
04.2020 - 06.2020
- Conducted data science analysis to uncover insights for renewable energy project
- Analyzed data trends using Python and R to inform project decision-making
- Assisted in data cleaning and preparation, ensuring data accuracy for analysis projects
Education
Post Graduate Program in Machine Learning - English
Great Lakes Institute of Management
India10-2024
MBA/PGDM - Finance
Jaipuria Institute of Management
Noida06-2021
B.Com - Commerce
University of Rajasthan
Jaipur01.2018
12th - English
CBSE
Maheshwari Public School01.2013
Skills
- Financial Analysis
- Financial Modeling
- Financial Reporting
- Financial Planning
- Budgeting
- Variance Analysis
- Credit Analysis
- Investment Banking
- Equity Research
- Corporate Finance
- Business Analysis
- Financial Statements
- Python
Projects
ML Capstone Project Course: Capstone Project ML
Data Science Project of Finance, 3 Months, Utilized NumPy and pandas libraries to perform comprehensive financial data analysis and manipulation., Applied Matplotlib to visualize financial trends and key performance indicators, enhancing data-driven decision-making.
This project involved using various features variables available in the Innercity house price dataset. Different Machine learning models like Regression, Ensemble techniques were used to analyse and predict the house prices. Also, the grid search algorithm was used to tune different parameters associated with models.
Feature Engineering & Model Tuning Course: Featurization, Model Selection & TuningThe project was accomplished by employing supervised learning, ensemble modeling, and unsupervised learning techniques to build and train a prediction model to identify Pass/Fail yield of a particular process entity for a semiconductor manufacturing company. This project helps to determine key factors contributing to yield excursions downstream in the process and will enable an increase in process throughput, decreased time to learn and reduce per-unit production costs.
Internship
Data Science Intern, Peacock Solar, 2 Months, Data Science of Renewable Energy Project
Timeline
Senior Process Associate
Tata Consultancy Services
02.2025 - Current
Senior Associate
WNS Global
02.2023 - 04.2024
Valuation Analyst
Resurgent India
02.2022 - 01.2023
Data Science Intern
Peacock solar
04.2020 - 06.2020
Post Graduate Program in Machine Learning - English
Great Lakes Institute of Management
MBA/PGDM - Finance
Jaipuria Institute of Management
B.Com - Commerce
University of Rajasthan
12th - English
CBSE