About

Ram Meena is a highly skilled Backend Developer with expertise in Python and Django. He is a graduate in Mathematics and Computing from IIT Kharagpur and has a keen interest in technology, particularly in Data Science, Machine Learning, and Software Development. Currently, Ram is working as a Software Development Engineer and Data Scientist at MediBuddy, where he has implemented his skills in Python, Django, and NLP to map old medicine databases to new ones using FIASS (Facebook AI Similarity Search) Algorithm and various NLP methods. He has also developed a lead scoring engine to improve the conversion ratio of existing leads and built a Sales CRM for the inside sales team to better manage customer relations. Additionally, Ram has automated existing manual tasks to improve the consult experience for both end-users and internal teams. Prior to his current role, Ram has worked in diverse fields such as IT, Finance, and Entrepreneurship. He has worked as a Project Advisor at Inquant, where he applied machine learning models to make predictions on the Indian stock market using Python and Equity Trading. He has also worked as a Research Consultant at WorldQuant, where he built fully automated high Sharpe and diverse long-short Algorithmic Trading Strategies using advanced mathematical and statistical techniques to model and predict market movements. Ram has used a quantitative approach to develop Trading Algorithms (alpha), which are systematic investment strategies. Ram's education history includes a Master's degree in Mathematics and Computing from IIT Kharagpur and a High School degree from Kendriya Vidyalaya. He has a TechStack that includes Python, Software Engineer, Backend, Django, NLP, ML, Data Scientist, AI, Research Scientist, Search, Pandas, MySQL, Jupyter, Web, and Flask. Ram has relevant experience of 2.20 years and is an expert in his field.