About

Rohit Pandey is a highly skilled and experienced Data Scientist with a proven track record of delivering successful data-driven solutions. He is currently working at Amazon as a Data Scientist, where he applies his theoretical and practical knowledge of various statistical and machine learning techniques, including Deep Learning, SVM, Clustering, Regression Analysis, Logistic Regression, Statistical Inference, and Hypothesis Testing, to solve complex business problems. Rohit has completed his post-graduation in Applied Statistics & Informatics from the prestigious Indian Institute of Technology, Bombay, and has a Bachelor's degree in Statistics from Banaras Hindu University. He has also completed several online courses in Data Science and Machine Learning from coursera.org and edx.org, demonstrating his passion for continuous learning and self-improvement. Prior to his current role, Rohit worked as a Data Scientist Associate Manager at Accenture, where he processed and cleaned large volumes of data, generated features, and developed ML models such as Deep Learning, Logistic Regression, SVM, XGBoost, and optimization models. He also worked as a Data Scientist Specialist at Accenture, where he scored accounts based on their risk while reconciliation using ensemble machine learning and developed a duplicate invoice detection system using MinHash, LSH, and Deep Learning. Rohit's technical skills include Data Science, Research Science, SVM, ML, Deep Learning, XGBoost, Python, SQL, ResNet, Keras, Computer Vision, AI, CNN, OpenCV, and Neural Networks. He has relevant experience of 4.62 years, during which he has worked on various challenging projects and delivered successful outcomes. Rohit is a highly motivated individual who loves to learn new things and work on complex problems. He is a valuable asset to any team and can contribute significantly to the success of any data-driven project.