Experienced Senior Engineer with hands-on experience in data and resource management. An agile, result-oriented and insightful Data Analyst skilled in Python, R, and SQL. Uses Machine Learning algorithms to solve real-world problems dataset by dataset. My passion for Data Science comes from its core value, that is to stop guessing and make informed decisions. Numbers talk louder than words and that is what I aim to bring through my skillset.
I have demonstrated history of working in the food & beverages industry which promotes my synergetic and goal-oriented behaviour.
My skill-set includes:
Programming: Python [Pandas | Numpy | Scikit-Learn | Tensorflow | Keras], R [dplyr | ggplot2], SQL
Machine Learning Algorithms: Neural Network, Decision Trees, Random Forest, Ensemble B&B, Regression and Classification, KNN, SVMs, Deep Learning, Convolutional Neural Networks, Recurrent Neural Networks, Reinforcement Learning
Statistical Techniques: Regression Analysis, Time Series Forecasting, Hypothesis Testing, Stochastic Processes, and Gradient Descent
Applications & Databases: Microsoft Office Suite, Git, GitHub, Minitab, Tableau, SPSS, Microsoft Access
Engineering: Quality Control, Manufacturing, Process Engineering, Mechanical, and Maintenance Engineering