😄 She/Her

💬 I am currently a Graduate Research Assistant at Florida Atlantic University, where I am focused on building robust, generalizable machine learning models. My work leverages advanced techniques like time and frequency domain augmentation and contrastive learning to develop genomics models invariant to geographic location.

💬 I completed a BSc. degree in Electronics and Telecommunication Engineering in 2022 fromRajshahi 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.

🔭 Shortly after that, I worked as a Junior Data Analyst atApon-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 (Pytorch, Tensorflow), R, and MATLAB with some proficiency in Arduino.

🌱 I’m currently learning Genomics for my research.

📫manisha.karim28@gmail.com

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1. Movie-Recommendation-SystemMovie-Recommendation-SystemPublic

   Content, Collaborative, and Hybrid Movie recommendation system

   Jupyter Notebook

2. Disease-Prediction-from-SentimentsDisease-Prediction-from-SentimentsPublic

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

   Jupyter Notebook

3. Advanced-Housing-Price-RegressionAdvanced-Housing-Price-RegressionPublic

   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-SatisfactionCustomer-SatisfactionPublic

   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-scratchTransformers-from-scratchPublic

   Implementation of "Attention is all you need"

   Python