About

Aman Kumar is a highly skilled Data Scientist, Statistician, Statistical Analyst, Quantitative Analyst, and Analytics Consultant with over 4 years of experience in the field. He has a strong background in statistical analysis and programming and is passionate about using Python, Azure Databricks, and deep learning to solve challenging business problems. He is skilled at providing hands-on expertise, recommendations, relevant and timely solutions. Currently working as a Data Scientist at easyrewardz, Aman has successfully established an RFM Segmentation model pipeline on client databases using the K-means technique on Databricks with 95 percent accuracy on Python language. He has also developed a virtual recommendation model for Bata using Resnet 50, Xception model of deep learning with 97 percent accuracy. Additionally, he has classified images into profanity or non-profanity for web-bot using Xception Model of Deep learning with 98 percent accuracy. Aman has also worked on sentiment analysis of feedback and Twitter data for Bata, Fab India using Vader analytics, and intent classification of text for web-bot using BERT tokenization and Support vector Machine with 99 percent accuracy. He has successfully completed data fest competition for the intent classification model. In his previous role as a Data Scientist at Cians Analytics, Aman performed data cleaning for modeling through data pre-processing like cleaning and tokenization. He also classified articles in their respective categories using classification models with 95 percent accuracy for a financial client. As a Statistical Analyst at RCM Aeroservices Ltd., he forecasted inventory for airline clients using time series models like ARIMA, SARIMA, exponential modeling with 75 percent accuracy on R language. He also performed Cannibalization for different Brands using Time series modeling like ARIMA, SARIMA with 90 percent accuracy on R language. Aman holds a Master’s degree in Statistics from Choudhary Charan Singh University, Meerut, and a Bachelor’s degree in Physics, Mathematics, and Statistics from the same university. He has a vast tech stack, including Data Science, Python, Deep Learning, Web, Sentiment Analysis, SVM, Tokenization, BERT, ResNet, Databricks, ML, Azure, Tensorflow, SQL, XGBoost, Random Forest, Keras, NLP, Scikit, Neural Networks, and NoSQL. With 5.44 years of relevant experience, Aman is a highly motivated and insightful employee with an eye toward problem-solving in as