. I am a graduated Data Scientist with problem solving strengths and newly acquired skills in the context of big data analysis. I am also an intellectually curious individual with a passion for new data mining and machine learning techniques. I am a big fan of Bayesian statistics and data visualization using ggplot2. I enjoy designing complex statistical and algorithmic solution to problems.
My Master's thesis research focused on Data Mining, Machine Learning, NLP and Deep Learning. I graduated from Carleton University's Data Science program in May 2020 with a Master of Computer Science Specialization in Data Science degree. I am actively looking for data scientist position. My key technical skills include, but not limited to Python, R, SQL, Java, report writing, traditional machine learning, deep learning, data mining, data analysis, data cleaning and wrangling, data visualization, statistical modeling, EDA, algorithms and experiment design, strong analytical and communication skills.
My interests include, but not limited to applied Machine Learning, Data Mining, Medical Imaging, Knowledge Discovery, Big Data Analytics, Real-time Analytics, Motorsports Data Analytics & Race Strategy.
April 21st 2020:
Successfully defended my Master's thesis titled Cross-Platform Software Developer Expertise Learning and graduated with the Master of Computer Science Specialization in Data Science degree from Carleton University in Ottawa, Canada.
September 2018 - April 2020:
Graduate Research and Teaching Assistant at Carleton University
Master's thesis in mining Stack Overflow and GitHub creating a novel approach to cross platform software developer expertise learning
Featured in Carleton University's Eureka! magazine:
A LinkedIn post about my article can be found here.
This article was featured on Carleton University's Instagram and LinkedIn page as well
May 2019 - August 2019:
Data Scientist Intern at National Research Council Canada:
Worked in NRC's Data Analytics Center in Ottawa, and completed a 4 month contract for a government client
September 2018 - June 2020:
Carleton University - M.Sc. in Computer Science with Specialization in Data Science:
Data Mining, Machine Learning, NLP, Deep Learning and Empirical Software Engineering. Adviser: Prof. Olga Baysal
May 2017 - August 2017:
Undergraduate Researcher at University of British Columbia Okanagan:
Received an Undergraduate Research Award and worked a modern approach to feature-based opinion mining, using word embeddings
September 2015 - April 2018:
Undergraduate Teaching Assistant at University of British Columbia Okanagan:
Helped students apply concepts taught in lectures via hands-on programming
September 2014 - June 2018:
University of British Columbia Okanagan - B.Sc. Honours in Computer Science, Minor In Data Science
Completed an Undergraduate Thesis Data Science project under the supervising of Prof. Abdallah Mohamed and Prof. Jeffrey Andrews