Supratim Haldar
                                Manager - Data Science at Head Digital Works Pvt. Ltd. (Cricket.com, Fanfight.com, Ace2Three.com)
                                Bangalore, India
								
									- * Working as a Data Scientist at Head Digital Works Pvt. Ltd., a pioneer in online gaming with a rich portfolio of cricket.com, fanfight.com and ace2three.com. At present, leading the Data Science team of cricket.com.
									- * Design and develop Criclytics, a predictive model framework to predict outcome of cricket match and performance of players.
									- * Work with engineering team to build and deploy the predictive models as API.
									- * Earlier, worked as a Solution Architect for Oracle Corporation, building products with advanced predictive capabilities.
									- * Sound knowledge of Statistics and Machine Learning Algorithms.
									- * Ranked among top 10% answerers on Python in StackOverflow.
									- * Hobbies: Cycling, running, photography and reading.
									- * Trivia: The profile picture on the left is generated with my implementation of neural-style-transfer algorithm, transferring style from Vincent van Gogh's famous self-portrait to my photograph 😊
								
                             
                         
                     
                
                
                    
                        
Skills
						Summary of my skills in the data science, machine learning and deep learning area.
						
                    
                    
                        
                            
                                
                                    In-depth understanding of key ML and DL algorithms
                                    
                                 
                                
                                    Python (including Numpy, Scipy, Pandas, SKLearn)
                                    
                                 
                                
                                    Deep Learning, inclusing Tensorflow and Keras
                                    
                                 
                                
                                    Visualization: Matplotlib, Seaborn etc.
                                    
                                 
                                
                             
                         
                        
                            
                                
                                    Customer and Marketing Analytics
                                    
                                 
                                
                                    R (Including tidyverse and tidytext)
                                    
                                 
                                
                                    Natural Language Processing
                                    
                                 
                                
                                    Statistics and Probability Theory
                                    
                                 
                                
                                    Communications and Soft Skills
                                    
                                 
                             
                         
                     
                
                
				
                    
                        
Project Portfolio
                    
                    
                    
						
						    
                                
                                    
                                         
										
											A ML prediction model to predict winner of ODI cricket (sports) matches before the match starts. Prediction accuracy outperforms that of Google.
										 
                                     
                                    
                                 
                             
                            
                                
                                    
                                         
										
											Identify the artist from a painting, built with Convolution Neural Networks
										 
                                     
                                    
                                 
                             
                            
                                
                                    
                                         
										
											A web-application for DeepArtist, built with Flask and deployed on Heroku
										 
                                     
                                    
                                 
                             
					     
                     
                    
                        
                            
                                
                                    
                                         
										
											Generating art using Deep Learning
										 
                                     
                                    
                                 
                             
                            
                                
                                    
                                         
										
											As part of an online challenge, built a classifier which can predict presence of an outdoor scene (eg: mountains, glaciers etc) with an accuracy of ~97% on train data and ~94% on test data
										 
                                     
                                    
                                 
						     
                            
                                
                                    
                                         
										
											As part of Kaggle competition, built a classifier capable of predicting whether an image contains a columnar cactus, with AUROC of upto 0.9984 on unseen test data
										 
                                     
                                    
                                 
                             
						 
					 
                    
						
                            
                                
                                    
                                         
										
											An analysis of accident data on roads of Bangalore
										 
                                     
                                    
                                 
                             
						    
                                
                                    
                                         
										
											Recommend movies to user based on taste of other similar users (developed from scratch)
										 
                                     
                                    
								 
							 
                            
                                
                                    
                                         
										
											A deep-dive into churn analysis in telco industry and predicting next possible churns
										 
                                     
                                    
                                 
                             
                         
					 
                    
						
						    
                                
                                    
                                         
										
											Recommend movies to user based on different parameters of movies (developed from scratch)
										 
                                     
                                    
                                 
                             
                            
                                
                                    
                                         
										
											My implementation of key Machine Learning algorithms from scratch in Python
										 
                                     
                                    
                                 
                             
                            
                                
                                    
                                         
										
											Collecting data from the world wide web