About

Suyog Bhange is a highly skilled Data Scientist with expertise in AI and Engineering. With a problem-solving mindset, he has gained vast experience in the Data Science domain through his internships and projects. He has won multiple competitions at the college level and even published a paper from his Btech project. Currently, Suyog is working as a Data Scientist at Pixis after successfully completing certifications on different Cloud Platforms. Previously, he worked with Fractal Analytics in the CPG domain, where he built an AI tool that outperformed existing manual forecasting methods, achieving more than 90 percent accuracy. He also worked with an FMCG in a Capital Forecasting project for over a year, where he built pipelines in Azure, triggered from a dashboard. He used different services like Azure Data Factory, Blob Storage, and SQL DB, and modelling and deployment was done in Azure Databricks and ML flow lib was used to register models and artifacts. Before that, Suyog worked as an Automation Developer in the Global Information Security Division at CME Group, Bangalore. He developed a project to automate the process of health check on various security devices, generating detailed reports showing system health of components on each and every device along with screenshots of degraded systems. He used Selenium library in Python for web driver automation, and threading concept was applied to run multiprocesses in parallel to optimize time taken. Suyog completed his Master of Technology in Mechanical Engineering from IIT in 2020 and his Higher Secondary degree in Science and Electronics from Dr. Ambedkar College, Deekshabhoomi, in 2015. He possesses a wide range of technical skills, including Data Scientist, Research Scientist, Azure, AI, ML, SQL, Databricks, Python, Deep Learning, NLP, Tensorflow, XGBoost, Selenium, product designer, Neural Networks, SVM, Web, Scikit, Pandas, Pytorch, GCP, and infra. With almost three years of relevant experience, Suyog is a highly motivated and skilled Data Scientist who is always eager to learn and implement new technologies to solve complex problems.