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Shivam Choudhary
MS Data Science at Georgia Tech | Looking for a summer internship in Data Science/ ML in Summer 2025 | Ex- American Express, Quantiphi | IIT Kanpur
About
Shivam Choudhary is a Data Scientist with a passion for Machine Learning and Artificial Intelligence. He has 2 years of experience in developing and experimenting with various time series algorithms. Shivam has worked on different platforms such as AWS, GCP, and programming languages such as Python, R, and C++. Currently, Shivam is working at ReBIT, which is the IT subsidiary of RBI, as a Data Scientist. In his current role, he is responsible for developing and implementing Machine Learning models to solve complex business problems. Prior to his current role, Shivam worked as a Machine Learning Engineer at Quantiphi. He worked on various projects such as Seq2Seq model for Sales Forecasting, Stacking Based Model for Forecasting, and Code Optimization Task. Shivam also worked on Forecasting services like Amazon Forecast and Google Cloud AutoML to generate results and compared them with production models. Shivam completed his Bachelor of Technology in Chemical Engineering from the Indian Institute of Technology, Kanpur, in 2019. He also has experience working as an intern at Futures First, where he used Price Action Strategy to study the Charts and Price volume data for the outright of Cocoa and Cotton Futures. Shivam has expertise in various technologies such as Python, AWS, TensorFlow, Keras, OpenCV, Deep Learning, NLP, Pandas, GCP, XGBoost, Random Forest, CNN, Sagemaker, Hyperparameter, Big Data, Neural Networks, SQL, Seaborn, and Scikit. With 3.78 years of relevant experience, Shivam is a skilled Data Scientist who is always eager to learn and explore new technologies.
Education Overview
• iit kanpur indian institute of technology kanpur
• paramount academy
• d.a.v. public school bakhri muzaffarpurbihar
Companies Overview
• accertify inc.
• amex
• rebit reserve bank information technology
• quantiphi
• futures first
Experience Overview
4.9 Years
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