1. Have dynamic learning ability in understanding & applying Machine Learning methodologies using Python/ML related libraries with 4 years of experience.2. Have studied on Customer Segmentation, Time Series Forecasting, Churn Prediction and NLP Text Clustering Projects, RAGs.3. Have Deep Learrning experince on Image Classification and Face Recognition with CNN, Time Series with RNN using Tensorflow/Keras.4. Have knowlegde and experince on deploying ML models using Streamlit,Flask on AWS.3. Self-disciplined, quickly learn, and master new technologies, successful working both in a team and self-directed settings.4. Have master’s degree in Computer Science and bachelor's degree in Electronic and Electrical Engineering. Have the programming ability to collaboratively produce quality software and ML related products or services.Technical Skills:- Programming: Python, SQL, Linux / Unix Bash Shell Script- ML: Numpy, Pandas, Matplotlib, Seaborn, Scikit-Learn, Statsmodels, Scipy, Tensorflow, Keras- Database Management: MS SQL Server, SQLite- Visualization: PBI- Deployment: AWS EC2, Streamlit, Flask, SageMaker- Tools: Git, GitHub, JIRA, ClickUp, Trello- Methods: SDLC, Agile, Scrum, Kanban