Pritam Devadatta Jena

About Pritam Devadatta Jena

Introduction Data Scientist with 8+ years of experience in executing data-driven solutions to increase efficiency, accuracy, and productivity. Experienced at creating predictive data models to deliver insights and implement action-oriented solutions to complex business problems in e-commerce & finance domain. Analytics Model - Recommendation system, defection and in-market models, market mix models, demand forecasting, incentive optimization, sales analytics, segmentation.##Technical Skills •Mark-up Languages/Stylesheets: HTML •Programming Languages: Python, R •Development Tools: Tableau •Frameworks/ IDEs: R Studio, Jupyter Notebook, Spyder, Pycharm •Algorithms Implemented: Linear Regression, Multiple Linear Regression, K-Means Clustering, Hierarchical Clustering, Logistic Regression, Support Vector Machine (SVM), k-Nearest Neighbors(KNN), Random Forest, Decision Trees, Naïve Bayes, Convolutional Neural Networks (CNN), LightGBM, Long Short Term Memory networks(LSTM), Stacked Autoencoders(SAE) •Few Libraries Used: Pandas, Numpy, SciPy, Scikit-Learn, Keras, Tensor flow, ggplot2, dplyr, BeautifulSoup, Sampyl, NLTK [corpus], seaborn

Experience

1. Senior Consultant

   Deloitte

   Dec 2021 — Present · Bhubaneswar, IN

Education

• Indian Institute of Planning and Management

  Master of Business Administration (M.B.A.), Marketing, 77.6%

  2013 — 2015

• Siksha 'O'​ Anusandhan University

  Bachelor of Engineering (BEng), ELECTRONICS & TELECOMMUNICATION, 7.2 out of 10