About

Ramakant Yadav is a highly skilled and motivated Senior Analyst at Rapido, with a passion for solving complex problems using Machine Learning and Deep Learning. He holds a Post Graduate degree in Machine Design from IIT Dhanbad and a Bachelor's degree in Mechanical Engineering from the Army Institute of Technology, Pune. Ramakant's experience in Machine Learning includes working on multiple projects where he developed a sound understanding of models such as Linear and Logistic Regression, Decision Tree, K-Nearest Neighbor, Support Vector Machine, Ensemble Models, etc. He has also worked on various Deep Learning projects using CNN, LSTM, RNN to solve classification problems such as Steel Surface anomaly detection, Human Activity Recognition, etc. His GitHub account showcases his work in these areas. In addition to his expertise in Machine Learning and Deep Learning, Ramakant is proficient in programming languages such as Python and Java and has hands-on experience with libraries such as Pandas, Numpy, Scikit-learn, Tensorflow, Keras, and NLTK. He also has a strong understanding of Data Structure and Algorithm and DBMS, which enables him to implement his work with greater efficiency. Ramakant's belief in self-belief and hard work has earned him success in his career. He has worked as a Senior Analyst at Tiger Analytics and as a Data Scientist at Thoucentric before joining Rapido. His education history includes a Master's degree in Technology from IIT Dhanbad and a Bachelor's degree in Engineering from the Army Institute of Technology, Pune. Ramakant's technical skills include ML, Python, Deep Learning, SQL, SVM, CNN, Data Scientist, Keras, RNN, NLP, Scikit, Tensorflow, Pandas, Java, Research Scientist, AI, Image Processing, and MySQL. He has 2.86 years of relevant experience in the field.