Data professional with a robust background in data engineering, machine learning, and predictive modeling. In my previous roles, I've successfully built NLP solutions like GenAI chatbots, predictive models, and scalable test automation frameworks for enterprise applications, demonstrating adaptability across development and QA roles. I'm open to roles in Data Science and Software Engineering to apply my skills in delivering complex, innovative solutions.
Languages and Scripting:
Python, Java, SQL, C, SAS
Data Visualization and Analytics:
Tableau, Power BI, Plotly, Chartjs, Matplotlib, Seaborn
Cloud and Deployment:
Amazon Web Services (AWS S3, EC2), Microsoft Azure, Flask, FastAPI
Machine Learning and AI:
Scikit-learn, TensorFlow, Keras, Natural Language Processing (NLP), Deep Learning, Reinforcement Learning (LSTM), Generative AI (RAG), Large Language Models (LLMs)
Automation Testing:
Selenium WebDriver, Cucumber, Gherkin, REST Assured, Postman, TestNG, Oracle SQL
API and Database Testing:
RESTful APIs, JSON, SQL queries, Oracle Database, MongoDB, Postman, REST Assured
Web Scraping and Data Engineering:
Python (Selenium, Requests, BeautifulSoup), Web Scraping, Data Preprocessing, ETL Pipelines
Version Control and CI/CD:
Git, GitHub, GitHub Actions, CI/CD Pipelines, JIRA
Twitter Fake News Detection System
Rainfall Prediction Web Application