YAMINI DEVI
Farrukhabad,UP
Overview
3
3
Certifications
Work History
Finance Intern
Indian Oil Corporation Limited
06.2023 - 07.2023
- Conducted a comprehensive financial analysis of IOCL and assessed the net zero effect using financial modeling concepts in Excel
- Key tasks included data collection and cleaning, ratio analysis, free cashflow calculation, DCF valuation, valuation summary, investment recommendation, and sensitive analysis.
Education
PGDM Finance -
Madras School of Economics
B. Com. Cost Accounting - undefined
Symbiosis College of arts and Commerce
Class 12 (comm.) - undefined
K. V. NDA, Khadakwasla, Pune (CBSE)
Class 10 - undefined
K.V. NDA, Khadakwasla, Pune, (CBSE)
Skills
Data Analysis –Python (NumPy, Matplotlib, Pandas, Seaborn, Scikit-Learning)
Data Visualization – MS Excel
Data Management – SQL
Business Process Improvement – Financial modelling
Project Management – MS Office, Latex, Overleaf
Soft skills – Communication, Problem-Solving, Critical Thinking, Collaborative, Adaptability
Financial Analysis
Microsoft Excel proficiency
Team Collaboration
Data Evaluation
Attention to Detail
Certification
Data Analytics and Visualization by Accenture, Forage, I have learned how to clean, model, and analyze data to generate valuable insights, connecting business needs with data findings. I am skilled in reviewing client briefs, collaborating within a project team, and effectively communicating insights in engaging presentations.
Extracurricular Activities
Swimming Horse riding Chess Debate Anchoring Event organizing (School and College)
Projects
Enhancing Portfolio Performance: Comparative Analysis of Optimization Techniques, https://github.com/yaminid99/Enhancing_portfolio_performance, Conducted a rigorous evaluation of alternative portfolio optimization strategies compared to traditional market cap-weighted S&P500 methodology. Utilized extensive price data from 2017 to 2019. Investigated four methodologies: equal weighting, minimum variance portfolio construction, eigen portfolio optimization, and random filtering. Credit Card Fraud Detection Using Machine Learning, https://github.com/yaminid99/Credit-Card-fraud-detection, Utilized various techniques for detecting fraudulent transactions. Employed Logistic Regression, K-Nearest Neighbors (KNN), and Random Forest models. Achieved accuracy rates of 88.32% (Logistic Regression), 65.04% (KNN), and 92.30% (Random Forest). Income Level Binary Classification [50K]: Logistic Regression, https://github.com/yaminid99/Income-level-prediction, Developed a predictive model for classifying individuals' income levels based on their features. Employed logistic regression and appropriate data preprocessing techniques. Provided insights into factors influencing income levels, aiding in financial planning, and marketing strategies. Big Mart Sales Prediction Analysis, https://github.com/yaminid99/BigMart-sales-prediction, Analyzed and predicted Big Mart sales using linear regression. Achieved an R-square value of 72.95%. Built an MLP classifier model to predict sales for respective stores.
Summary
Creative Finance graduate offering strong analytical and abstract reasoning skills. Excellent history of managing complex data. Well-versed in business operations, strategic planning and market analysis. Track record of positive academic performance and superior numerical and analytical skills.
Work Availability
monday
tuesday
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friday
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morning
afternoon
evening
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Timeline
Finance Intern
Indian Oil Corporation Limited
06.2023 - 07.2023
PGDM Finance -
Madras School of Economics
B. Com. Cost Accounting - undefined
Symbiosis College of arts and Commerce
Class 12 (comm.) - undefined
K. V. NDA, Khadakwasla, Pune (CBSE)
Class 10 - undefined
K.V. NDA, Khadakwasla, Pune, (CBSE)