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πŸ’­
Applying for Grad School
πŸ’­
Applying for Grad School

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Manisha-Karim/README.md

Hello World πŸ‘‹

πŸ’¬ I am currently applying for Computer/Data Science graduate programs. My interest lies in Machine Learning, Statistical Methods, and Natural Language Processing (NLP).

πŸ’¬ I completed a BSc. degree in Electronics and Telecommunication Engineering in 2022 from Rajshahi University of Engineering Technology (RUET), one of the premier academic instituions in Bangladesh. My undergraduate thesis was on feature selection engineering for the prediction of loan default in a high-dimensional peer-to-peer lending system.

πŸ”­ Shortly after that, I worked as a Junior Data Analyst at Apon-Wellbeing, a Fair trade chain retail shop for lower income families. I mostly collaborated directly with the operations and supply chain teams, assisting them with product analysis, customer purchasing behavior, and used causal inference to forecast the effects of an offer.

⚑ I am proficient in Python and MATLAB, and have experiences on working with Arduino and R programming language.

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  1. Movie-Recommendation-System Movie-Recommendation-System Public

    Content, Collaborative, and Hybrid Movie recommendation system

    Jupyter Notebook

  2. Disease-Prediction-from-Sentiments Disease-Prediction-from-Sentiments Public

    Disease prediction from patient sentiment using TF-IDF and Multinomial Naive-Bayes

    Jupyter Notebook

  3. Advanced-Housing-Price-Regression Advanced-Housing-Price-Regression Public

    Linear Regression and Feature Engineering to predict house prices using a Kaggle Dataset

    Jupyter Notebook

  4. Bank-Customer-Churn-model-with-Explainable-AI-Lime- Bank-Customer-Churn-model-with-Explainable-AI-Lime- Public

    Explainable AI using Random Forest and Lime to find out whether a customer will close a bank account

    Jupyter Notebook

  5. Customer-Satisfaction Customer-Satisfaction Public

    Feature extraction from a Kaggle dataset using multiple techniques including RFECV, Extra tree classifier and prediction of customer satisfaction using Random Forest

    Jupyter Notebook

  6. Transformers-from-scratch Transformers-from-scratch Public

    Implementation of "Attention is all you need"

    Python