About

Rakesh Jha is a highly skilled and experienced data scientist with a strong background in working with large datasets in the Travel and Hospitality and Pharma domains. With almost a decade of experience in the field, he has developed end-to-end knowledge of data preparation, EDA, data cleaning, standardization, and manipulation for generating insights. Rakesh has a proven track record of building regression and machine learning models and NLP, and is proficient in a range of techniques including Linear/Logistic Regression, Random Forest, Boosting (xgboost, GBM, LGBM), Unsupervised clustering (k nearest Neighbours), Neural Networks, Deep Learning, Feature Engineering and selection, Stacking, Ensembling, ARIMA, ARIMAX, Holt Winters' - exponential smoothing, and NLP - natural language processing. Currently working as a Principal Data Scientist at PayPal, Rakesh has previously held positions as a Data Science Manager at Philips and a Senior Data Analyst at Epsilon. In these roles, he has gained experience in a range of areas, including Promotion Effectiveness measurements, Media Mix Modeling and Budget Optimization, Predictive modeling, Text mining, Personalized offer recommendation engine for marketing, Customer segmentation and profiling, and End-to-end automation of several dashboards. Rakesh holds a Master of Science (MS) degree in Communications Engineering from the Technical University Munich, and a Bachelor's Degree in Electronics and Telecommunication from the National Institute of Technology Raipur. He is proficient in a range of tech stacks including Data Scientist, Research Scientist, NLP, Deep Learning, SQL, XGBoost, Random Forest, Python, ML, Neural Networks, CNN, and Tensorflow. With almost a decade of relevant experience, Rakesh is a highly skilled and experienced data scientist with a proven track record of delivering results in a range of domains. He is a valuable asset to any team looking to leverage data to drive business outcomes.