About

Deepak Chaubey is a Data Science Evangelist and Industry Mentor with over 12 years of experience in data analytics, visualization, ETL, data architecture, exploratory data analysis, ML model building, and deployment. He holds a Master of Science degree in Data Science (Machine Learning) from Liverpool John Moores University. Deepak has extensive experience in creating models, building pipelines, wrangling data, feature engineering, running experiments, and extracting insights from data. He has steered projects related to machine learning (supervised and unsupervised techniques), statistical analysis, deep learning, and NLP. His expertise in machine learning technologies includes Multivariate Linear Regression, Logistic Regression, Support Vector Machines, Decision trees, Random Forest Classifiers, Bagging/Boosting Algorithms, K Nearest Neighbours, K Means Clustering, and Hierarchical Clustering. He is skilled in Natural Language Processing, Text Pre-processing, Text Mining, Word Embeddings, Sentiment Analysis, Artificial Neural Networks, Convolution Neural Networks, Recurrent Neural Networks, Multilayer Perceptrons, LSTM, computer vision, Sequence-to-Sequence models, and Transformers. Deepak is proficient in Python, R, Anaconda, Jupyter Notebook, Pycharm, and RStudio. He has experience in Cognitive BI, statistical modeling, Speech Technology, Data Science, and Deep Learning. He has also developed algorithms for Natural Language Processing and Speech Signal Processing. His product development experience includes Artificial Intelligence, Machine Learning, Customer Experience, and Consumer Neuroscience. Deepak has worked with Enterprise solution architecture & BI Solution Design and is an SME to BI reporting & visualization tools especially Tableau, PowerBI, Matlab, Domo, thoughts pot, and Qliksense. He has exposure to Analytics Platforms especially AWS cloud stacks. His technical skills include Advance Data Analytics, Data Science, Python, Support Vector Machine (SVM), Random Forest, Decision Tree, Time Series Modeling, Statistical Modeling, Predictive Analytics, Regression Models, Deep Learning, Boosting, Tress and Text Mining Models. Deepak has performed the role of "trusted advisor" & "Preferred Partner" with customers and has explored new territories and found creative and exceptional ways to solve problems. He is currently working as a Manager- Data Science & AWS Cloud at Koch Technology Center. His past companies include Deloitte, where he worked as a Senior Consultant- Advance Analytics and Polaris Consulting & Services Ltd, where he worked as a Tech Lead.