Utilized HTML5, CSS3, SASS, Bootstrap, and JavaScript to develop interactive user interfaces and create responsive, dynamic web pages. Used Node.js and the Express framework to implement server-side logic and OAuth authentication.Leveraged Jenkins for continuous integration and automated code deployment. Worked with AWS services like DynamoDB, SNS, S3, and SQS to perform a range of tasks, while using OpenID Connect for authentication. Additionally, I managed the code repository on GitHub and tracked stories and bugs using JIRA.

Conducted comprehensive data analysis on Indian road accident and NYC parking violations datasets, uncovering key trends and insights.Utilized Pandas for efficient data manipulation, cleaning, and transformation, enabling deeper exploration of datasets.Leveraged other Python libraries alongside Flask and Tableau for streamlined data processing, visualization, and dashboard creation, deployed efficiently on Heroku.Developed predictive models using Linear Regression, Random Forest Regressor, Logistic Regression, Decision Tree Classifier, and Random Forest Classifier, improving data-driven decision-making.Applied Matplotlib and Seaborn for advanced data visualization, enabling clear and actionable insights from complex datasets.

Developed a News Summarizer web application using Django, MySQL, and Natural Language Processing (NLP).Deployed the application on the Heroku cloud platform.Integrated a news API to fetch articles in various categories and 12 languages based on user preferences.Implemented TF-IDF algorithm to generate and display article summaries.