Abdul Karim

Result-driven and analytical Computer Scientist with a solid academic record, excellent algorithm and data structure skills, and success in applying machine learning/deep learning to develop machine learning models for real-world business use cases. Passionate about the science of data to improve operational productivity in businesses. I have a talent for converting detailed analytics reports into actionable steps that focus on improving key performance indicators and facilitating stakeholder decision making. Quick learner with the desire and ability to master new technologies.

Price Prediction

• Predicting the Tickets Pricing using Linear Regression and Polynomial Regression.

Fake News And Real News

• Classifying into two categories Fake and Real News using Kaggle Dataset.
• Using Linear SVC.

HR Prediction

• Data Visualizations and Analysis regarding employee turnover.
• Predicting the employee will leave or not using Random Forest, Logistic Regression, Ada Boost, XG Boost

Customer Segments

• Analysis of a dataset containing data on various customers' annual spending amounts.
• Using K-Means and Hierarchical Clustering

Car Evaluation

• classifying a good or acceptable condition car from an unacceptable conditioned car.
• Using Random Forest

Emotion Detection Through EEG Signal Using Deep Learning And Machine Learning (Final Year Project)

• Had a dataset of 10M+ which contained three emotions Happy, Sad and Neutral.
• Recognize these emotions using Machine learning (Algorithms: KNN, SVM, Linear Regression, Naive Bayes) and Deep Learning (Algorithms: LSTM, Bi-LSTM, GRU) .
• We showed a comparative analysis of deep and machine learning algorithms and which of these algorithms yielded the best results.

Crossy Road (Unity)

• A game where chick crossing the heavily traffic roads.
• Particles effects with the animations in Unity.

Data Science and Machine Learning

• Learning about new tools and technologies
• Martial Arts
• E-Gaming