As an experienced Data Engineer, Data Scientist, and Data Analyst, I have a strong background in Probability, Statistical Data Analysis, Data Wrangling, Data Visualization, ETL (Extract, Transform, Load), Machine Learning, Deep Learning, and NLP.
I have hands-on experience in regression, classification, and clustering models and executed machine learning models such as Linear Regression, Logistic Regression, Decision Trees, Random Forest, Naïve Bayes, kNN, k-Means, XGboost, Neural Networks (CNN, RNN, LSTM) at different levels of projects.
I have a solid understanding of Agile workflows, SDLC, and DevOps practices such as Automation, Infrastructure as Code, CI/CD pipelines, and Containerization.
With a proven track record of exceeding expectations, I'm confident that I can bring value to any organization. Currently, I am looking for a full-time opportunity as a Data Scientist, Data Engineer, Data Analyst, and Python Engineer.