Ratish

RATISH NAIR Research and Development for A.I. and STEAM Products PROFILE EDUCATION I am a B.E. Mechatronics graduate I have worked as Research and Development for A.I. and Products. Where I have worked with Machine Learning tools like TensorFlow. I have even worked on Neural Networks using Keras and NLP. I have an extensive knowledge on STEAM related subjects and Robotics Training Program. ACHARYA INSTITUTE OF TECHONOLGY- Bachelors in Mechatronics. I have worked on models like mine detections bots and attended various courses on Electronics, Machine Learning and A.I related topics CHANDHRABHAN SHARMA 2010 - 2011 Worked in the creative team for culture festival Organized the science forum which dealt in the emerging new technologies CONTACT ST. XAVIERS HIGH SCHOOL 1997 - 2009 School was a place where I found my passion for science. The teachers mold this childlike curiosity in me, which I still carry till date PHONE: - WORK EXPERIENCE EMAIL:- MakeBot [RESEARCH & DEVELOPMENT] 2019 Responsible for researching and developing new content for students of all ages. My work included working on TensorFlow keras node.js etc. I was also responsible creating STEM related projects for kids INSIGHT BUSINESS MACHINE [BUSINESS RESEARCH INTERN] 3 MONTHS Responsible for researching company profile and allowing the sales team to Target the given company and presenting then at a CXO Level I2C WORLD BUSINESS PROCESS OUTSOURCING JAN 2013- DEC 2013 Responsible for retaining and obtaining customers for the new energy plans Projects Game Prediction  Worked on Game Prediction based on cricket data from-  Used it to predict the winner based on various stats  Accuracy was up to 93% percent  Made the prediction using both Tensorflow and IBM SPSS Boston Housing Prices  Created a map on the growth of increasing housing prices and used linear regression models to predict the outcome  Made NN models to predict the dependency of various characteristics that influences the housing price eg growth in the area, family income etc Image Recognition of various fashion apparels  Used the MNSIT data set to classify various apparels based on the dataset  They were tinkered on using different epoch values in order to increase the accuracy  It was further improved on by creating using an NN model SKILLS TensorFlow, C++, NumPy, NLP, Python, Excel , Word ,C Program,