Developed script using Python to analyze automobile data, leveraging libraries like Pandas, Seaborn, and SciPy for statistical analysis, correlation, and data visualization with grouping, pivoting, and Pearson correlation to identify key relationships between variables such as engine size, price, and fuel efficiency.

Developed a housing price prediction model by performing data cleaning, exploratory data analysis, and feature engineering, and implemented linear and Ridge regression models with pipelines, achieving performance evaluation using R² scores and polynomial transformations.

Developed a machine learning model for classifying resumes into predefined categories using a dataset of resumes. Performed data preprocessing, including cleaning text data, removing stopwords, and generating word clouds for visualization. Utilized tools such as numpy, pandas, matplotlib, seaborn, and wordcloud for data analysis and visualization. Implemented TF-IDF vectorization for feature extraction and used KNeighborsClassifier within a OneVsRestClassifier for model training and classification. Achieved significant accuracy in classifying resumes, enhancing the ability to automatically categorize and manage large volumes of resume data.

Developed an Azure-based platform featuring SQL Database, Data Factory, and Data Explorer. Optimized for real-time data processing, this platform included advanced data ingestion pipelines and security enhancements, significantly improving client decision-making capabilities.

Led a team to develop a decentralized application on Cardano, rewarding users with points convertible to ADA tokens for e-commerce site engagement. Implemented wallet connectivity and time-tracking with smart contract integration for points validation and token conversion. Employed rigorous testing strategies to ensure reliability.

Developed a web-based platform for seamless podcast hosting and distribution, integrated with Azure for scalable description management. Prioritized user-friendly interface and robust backend functionality for an optimal user experience.

Developed a cloud-based platform on AWS for real-time data analytics, utilizing Amazon Aurora and RDS, data ingestion pipelines, performance monitoring, and security enhancements to enhance client decision-making.

Automated data migration and transformation from online available bing Covid19 dataset to Azure using Python, SQL, and Azure Data Factory, improving data consistency and efficiency.

Set up a comprehensive DevSecOps pipeline using Azure DevOps and Jenkins, integrating SAST, DAST, and container vulnerability scanning tools to ensure secure and efficient application deployment.

Developed a Job Portal using PHP, Laravel, Angular, and MS SQL Server, enabling dynamic job listings, user authentication, and real-time data handling for streamlined job searching and application processes.

Developed a PHP-based inventory management system with user authentication, item insertion, and data display. Implemented secure login, user registration, and styled using CSS.

Created a PHP web app for ordering coffee online, with dynamic cup size visuals and cost calculation.

Developed a WPF application for LawFirmDB using C# .NET and Entity Framework. Features included client record searches, attorney billing visualization, and detailed billing management, showcasing database interaction and UI development skills.

Built a full-stack .NET application for an online bookstore, including functionalities for book catalog management, customer orders, and payment processing, with a backend supported by SQL Server.

Created a .NET application to streamline customer interactions, integrating various communication protocols and providing automated follow-up actions.

Developed a data analysis project conducting data exploration, manipulation, & analysis to identify trends & patterns, culminating in the creation of visualizations for effective presentation.

Developed a Haskell-based DSL for querying educational data, showcasing functional programming and type-safe query construction. Implemented custom data types and monadic query functions, demonstrating advanced Haskell features.

Developed secure authentication microservices using Java, incorporating JWT for session management. Integrated with Heroku to ensure scalability and reliability.