Sameer Yadav

Recent graduate with foundational knowledge in Computer Science and engineering and hands-on experience gained through academic projects and internships. Demonstrates strong teamwork, problem-solving, and time-management skills. Prepared to start career and make meaningful contributions with commitment and drive.

Credit Risk Analysis | Scikit-learn, XGBoost, LightGBM, CatBoost  

● A comparative study between three Gradient boosting algorithms, XGBoost, LightGBM, CatBoost in analyzing credit risk and  minimizing it.  

● Model identifies potential defaulters in advance and therefore reduces company loss by minimizing false negatives, identifying  all defaulters among the client base, also minimizing false positives, preventing wrong classification of clients as defaulters. 

Stock Market Analysis and prediction | Keras, LSTM  

● Analysis of few technology stocks, risk factor of these stocks based on its previous performance history using Machine Learning. 

 ● Prediction of future stock prices through Long Short Term Memory Method.  

Churn prediction | Scikit-learn, Random Forests, Gradient Boost  

● Predicting customer churn rate, identifying when and why customers are likely to churn on multiple factors.  

● A comparative study between three Gradient boosting algorithms and random forest in analyzing churn rate and ways of  minimizing it.  

White Board | HTML, CSS, Javascript  

 ● Developed a user interactive whiteboard web app compatible with any projector or pointing device.  ● Features: Real-time bi-directional sharing, CRUD operations.

AI – Driven Skill Evaluation and Recruitment Platform with Blockchain Credentials

• Evaluate the score of the candidate through the quiz given by the admin and evaluation is done by the recruitter and on behalf of score the candidate is being selected.
• In this python is used as backend and HTML and CSS in front-end. blockchain is being used as to save the credentials of the candidate.

Strategy & Marketing Operations Associate                                                                                  Nirvritti (Healthy Food Startup)  August 2024 – February 2025                   

 • Supported the development and execution of marketing strategies, including content planning, campaign coordination, and  brand positioning to promote healthy food products.

  • Assisted in operational planning and cross-functional coordination to ensure smooth order fulfillment, while contributing to  customer engagement and business growth initiatives.

Credit Risk Analysis | Scikit-learn, XGBoost, LightGBM, CatBoost  

● A comparative study between three Gradient boosting algorithms, XGBoost, LightGBM, CatBoost in analyzing credit risk and  minimizing it.  

● Model identifies potential defaulters in advance and therefore reduces company loss by minimizing false negatives, identifying  all defaulters among the client base, also minimizing false positives, preventing wrong classification of clients as defaulters. 

Stock Market Analysis and prediction | Keras, LSTM  

● Analysis of few technology stocks, risk factor of these stocks based on its previous performance history using Machine Learning. 

 ● Prediction of future stock prices through Long Short Term Memory Method.  

Churn prediction | Scikit-learn, Random Forests, Gradient Boost  

● Predicting customer churn rate, identifying when and why customers are likely to churn on multiple factors.  

● A comparative study between three Gradient boosting algorithms and random forest in analyzing churn rate and ways of  minimizing it.  

White Board | HTML, CSS, Javascript  

 ● Developed a user interactive whiteboard web app compatible with any projector or pointing device.  ● Features: Real-time bi-directional sharing, CRUD operations.

AI – Driven Skill Evaluation and Recruitment Platform with Blockchain Credentials

• Evaluate the score of the candidate through the quiz given by the admin and evaluation is done by the recruitter and on behalf of score the candidate is being selected.
• In this python is used as backend and HTML and CSS in front-end. blockchain is being used as to save the credentials of the candidate.