Technology/Tools: Ubuntu, Python, R, Django, Machine Learning, Textual Analytics, Deep Learning, Tensor flow, Keras, CNN, OpenCv, Excel, Pg-SQl, Rest-API, EDA, Data cleaning, processing, Web Scrapping, Visualization, Pandas, Numpy, skLearn . Nature of Work/Activity: The responsibility I had here was to Interact with the client and understand the issues. Solving the problem in a challenging environment. Adapting new technology faster and comes with solutions. I used to contribute my effort for my client and add value to it. Being a team player with leadership attitude and helping my buddies. ● Analyze the requirement, data and business to develop strategy. ● Setting up infrastructure, installing and configuring open source software in all three environments. ● Data engineering such as web scraping, data cleaning, ETL, pipelines. ● Data analysis and Visualizing using python and R ● Building Machine Learning models(Predictive Model) & Deep learning Model(CNN). ● Deploying ML mode REST API services using flask or Django

Technology/Tools: Ubuntu, Python, R, Django, Machine Learning, Textual Analytics, Deep Learning, Tensor flow, Keras, CNN, OpenCv, Excel, Pg-SQl, Rest-API, EDA, Data cleaning, processing, Web Scrapping, Visualization, Pandas, Numpy, skLearn . Nature of Work/Activity: The responsibility I had here was to Interact with the client and understand the issues. Solving the problem in a challenging environment. Adapting new technology faster and comes with solutions. I used to contribute my effort for my client and add value to it. Being a team player with leadership attitude and helping my buddies. ● Analyze the requirement, data and business to develop strategy. ● Setting up infrastructure, installing and configuring open source software in all three environments. ● Data engineering such as web scraping, data cleaning, ETL, pipelines. ● Data analysis and Visualizing using python and R ● Building Machine Learning models(Predictive Model) & Deep learning Model(CNN). ● Deploying ML mode REST API services using flask or Django

Technology/Tools: Python, SqlAlchemy, Django, tensor flow, keras, pandas, sklearn, git, kubernetes, NLP(NLTK), Numpy, MySQL, Jira, pytest, RestApi. Nature of Work/Activity: I am playing an intermediate role in this organization, helping my organization to scale their business and portfolios. Handling various intelligence models and optimizing the performance. Providing various training to my entire team in various aspects. ● Collected requirements from the business team and also involved directly for taking requirements ● Involved in Preparing logical, functional and technical design and documentation. ● Data engineering such as data cleaning, data preparation, XLIF parsing, ● Data analysis and visualization using python. Project #08 AI Service (Mar 22 - Till Date) Project #07 Translation Service (Jun21 - Mar 22) ● Tuning and optimizing machine learning models. ● Develop, Install and configure software and application in GCP and Azure kubernetes environment. ● Built a logical matching and extraction engine using python. ● Implementing unit test case scenario using Pytest.

Technology/Tools: Ubuntu, Python, R, Django, Machine Learning, Textual Analytics, Deep Learning, Tensor flow, Keras, CNN, OpenCv, Excel, Pg-SQl, Rest-API, EDA, Data cleaning, processing, Web Scrapping, Visualization, Pandas, Numpy, skLearn . Nature of Work/Activity: The responsibility I had here was to Interact with the client and understand the issues. Solving the problem in a challenging environment. Adapting new technology faster and comes with solutions. I used to contribute my effort for my client and add value to it. Being a team player with leadership attitude and helping my buddies. ● Analyze the requirement, data and business to develop strategy. ● Setting up infrastructure, installing and configuring open source software in all three environments. ● Data engineering such as web scraping, data cleaning, ETL, pipelines. ● Data analysis and Visualizing using python and R ● Building Machine Learning models(Predictive Model) & Deep learning Model(CNN). ● Deploying ML mode REST API services using flask or Django

Technology/Tools: Ubuntu, Python, R, Django, Machine Learning, Textual Analytics, Deep Learning, Tensor flow, Keras, CNN, OpenCv, Excel, Pg-SQl, Rest-API, EDA, Data cleaning, processing, Web Scrapping, Visualization, Pandas, Numpy, skLearn . Nature of Work/Activity: The responsibility I had here was to Interact with the client and understand the issues. Solving the problem in a challenging environment. Adapting new technology faster and comes with solutions. I used to contribute my effort for my client and add value to it. Being a team player with leadership attitude and helping my buddies. ● Analyze the requirement, data and business to develop strategy. ● Setting up infrastructure, installing and configuring open source software in all three environments. ● Data engineering such as web scraping, data cleaning, ETL, pipelines. ● Data analysis and Visualizing using python and R ● Building Machine Learning models(Predictive Model) & Deep learning Model(CNN). ● Deploying ML mode REST API services using flask or Django

Technology/Tools: Ubuntu, Python, R, Django, Machine Learning, Textual Analytics, Deep Learning, Tensor flow, Keras, CNN, OpenCv, Excel, Pg-SQl, Rest-API, EDA, Data cleaning, processing, Web Scrapping, Visualization, Pandas, Numpy, skLearn . Nature of Work/Activity: The responsibility I had here was to Interact with the client and understand the issues. Solving the problem in a challenging environment. Adapting new technology faster and comes with solutions. I used to contribute my effort for my client and add value to it. Being a team player with leadership attitude and helping my buddies. ● Analyze the requirement, data and business to develop strategy. ● Setting up infrastructure, installing and configuring open source software in all three environments. ● Data engineering such as web scraping, data cleaning, ETL, pipelines. ● Data analysis and Visualizing using python and R ● Building Machine Learning models(Predictive Model) & Deep learning Model(CNN). ● Deploying ML mode REST API services using flask or Django

Technology/Tools: Python, tensor-flow, keras, pandas, sklearn, git, kubernetes, NLP(NLTK), Numpy, MySQL, Jira, Google Cloud API, CNN, LSTM. Nature of Work/Activity: I am playing Lead role in this organization, helping my organization to scale their business and its portfolios. Creating various intelligence service products and optimizing the performance. Providing various training sessions to my entire team in various aspects. ● Collecting requirements directly from the business team and also involved in the planning. ● Involved in Preparing logical, functional and technical design and documentation. ● Data engineering such as data preparation, data cleaning, data models, Data analysis and API integrations. ● Tuning and optimizing Deep learning models. ● Building AI service to process complex problem in Investment banking domain. ● Develop, Install and configure software and application in GCP and Azure kubernetes environment. ● Built a logical matching and extraction engine using python. ● Implementing unit test case scenarios using Pytest.

Technology/Tools: Ubuntu, Python, R, Django, Machine Learning, Textual Analytics, Deep Learning, Tensor flow, Keras, CNN, OpenCv, Excel, Pg-SQl, Rest-API, EDA, Data cleaning, processing, Web Scrapping, Visualization, Pandas, Numpy, skLearn . Nature of Work/Activity: The responsibility I had here was to Interact with the client and understand the issues. Solving the problem in a challenging environment. Adapting new technology faster and comes with solutions. I used to contribute my effort for my client and add value to it. Being a team player with leadership attitude and helping my buddies. ● Analyze the requirement, data and business to develop strategy. ● Setting up infrastructure, installing and configuring open source software in all three environments. ● Data engineering such as web scraping, data cleaning, ETL, pipelines. ● Data analysis and Visualizing using python and R ● Building Machine Learning models(Predictive Model) & Deep learning Model(CNN). ● Deploying ML mode REST API services using flask or Django