RENURAJ YENNAWAR

Understanding the Problem Statement, perform the CRISP-DM process of Data Science Problem, Building Architecture on how to solve the problem. Data cleaning, Data Visualizations & Manipulations, Exploratory Data Analysis (EDA), Model Building & Prediction using CNN, RNN, LSTM’S, YOLO, OCR Architectures like Tesseract & ASTER for Text Recognition, EAST Architecture for Text Detection. Model Training & Testing using Keras, Tensorflow and different Architectures of CNN & NLP. Working on OCR, Image Processing Projects for the clients JIO; the projects includes White Background, Face Liveness and OCR-Text Detection & Recognition in cards, documents, etc. Achieved Model Accuracy of 99.2% and successfully deployed into Production.

Understanding the Problem Statement, perform the CRISP-DM process of Data Science Problem, Building Architecture on how to solve the problem. Data Cleaning, Data Visualizations & Manipulations, Exploratory Data Analysis(EDA), Model Building & Prediction, Model Deployment using Flask. Worked with the Modelling Team to predict the model functionality, accuracy and behavior of the model along with the model architectures like Resnet, Efficient Net, etc. Worked and simulated on Flask Deployment of the ML Models.

Understanding The Problem Statement, perform the CRISP-DM process of Data Science Problem, analyzing the Architecture on how to solve the problem. Data cleaning, Data Visualizations, EDA, Model Training, Model Testing and Model Deplyment using Flask. Worked on end-to-end projects hands on with each of CNN, NLP & Computer vision Projects with the Accuracy not less than 90%, Also worked hands on with all ML Algorithms with lot’s of projects. Learned all ML Flow life cycle and DL with libraries such as Keras, Tensorflow, scikit learn,etc.