Computer Science Engineer
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Hi, I, Ahsan a new graduate student at Brock University, pursuing an MS in Statistics, recently I completed my bachelor's degree in India with a specialization in Computer Science.
12-16 weeks internship at Brock University and more practical hands-on Python and R programming, Machine Learning, and Statistical knowledge.
Implemented various ML algorithms such as decision trees, random forest, logistic regression, and others, as well as different techniques for evaluating classification ML models.
Worked on resampling strategies and how to handle extremely skewed datasets like imbalanced data.
Imported the binary classification dataset for fraud detection, and used resampling approaches such as under-sampling, over-sampling, and hybrid sampling.
Obtained Results: f-score(Random Forest) = 0.99, f-score(Logistic Regression) = 0.94
Two months online internship at YBI Foundation in ML and AI with application in the field of business and healthcare.
Coordinate cost-effective solutions across teams, significantly reducing production errors.
Imported Cancer Prediction dataset and implemented classification algorithms.
Obtained Results: F-score(Random Forest) = 0.97, F-score(Logistic Regression) = 0.96
DATA SCIENCE AND BUSINESS ANALYTICS INTERN Oct’22-Nov’22 The Spark Foundation, India
Predicted scores of 50 students with respect to the number of hours studies using linear regression with R^2=93.4%
Categorized Iris dataset 0f 150 entries using logistic regression, k-nn, and decision tree, and model accuracy: K-NN= 0.95, Logistic Regression = 0.97
Master's degree at Brock University, St Catharines, ON, CA
MS in Maths and Stats
Mathematics and Statistics including Data Science!! Major Research Paper!!
Teaching Assistant, Mathematics, Statistics, Data Science, ML, Computer Science, Major Research ProjectMathematics and Statistics including Data Science!! Major Research Paper!! Teaching Assistant, Mathematics, Statistics, Data Science, ML, Computer Science, Major Research Project
Skills: Data Science · Statistics · Statistical Modeling · Mathematics · Python (Programming Language) · R (Programming Language) · Statistical Data Analysis · NumPy · Pandas · Machine Learning Algorithms · Machine Learning · C++ · Computer Science · Engineering · Student Leadership.