Sunil Tamma

Sunil Tamma

$10/hr
I specialize in development using .NET, Angular, React, and SQL, APIs, and database solutions.
Reply rate:
-
Availability:
Hourly ($/hour)
Age:
23 years old
Location:
Hyderabad, Telangana, India
Experience:
2 years
Sunil Tamma | - |-| https://www.linkedin.com/in/sunil-tamma-3729b4267/ | | https://github.com/suniltamma | https://sunil-tamma.netlify.app/ | SKILLS: Programming & Scripting Languages: Python, C#, Java, Javascript, Typescript, Angular/JS, React, HTML, CSS Frameworks: Django, PySpark, .NET, Numpy, Pandas Machine Learning & AI: Scikit-learn, PyTorch, TensorFlow, Generative AI Databases and Cloud: MySQL, Microsoft SQL Server, AWS, Azure, GCP Core Competencies: Critical thinking, Problem Solving, Communication, Collaboration WORK EXPERIENCE: INATIVE TECH SOLUTIONS , FULL STACK DEVELOPER Jan 2024 – Present PROJECTS : NSURE PHYSICS : • Developed a full-stack academic application (NSUREPHYSICS) using Angular, TypeScript, C#, ASP.NET Core Web API, and SQL Server, boosting student learning efficiency by 80% through features like live classes, exams, and schedules. Designed and implemented a dynamic content management system with a custom content editor, enabling admins to add and update educational data 50% faster than traditional methods. Integrated real-time features such as live class scheduling and exam management, increasing user engagement by 70% and improving administrative efficiency by 60%. Built a scalable database architecture using SQL Server Management Studio to supporting over 10,000 student packages, schedules, and academic records with 99.9% uptime. Collaborated on a student-focused platform, delivering a responsive front-end with Angular and a robust backend with ASP.NET Core API achieving a 95% seamless user experience rating. Created and optimized a RESTful API using ASP.NET Core Web API, enabling secure and efficient communication between the front-end and SQL Server database, handling up to 1,000 real-time academic requests per minute. • • • • • THEHOMEMART: • • • • • • Developed The HomeMart, a full-stack web application and Android app, using AngularJS, C#, and SQL Server for seamless e-commerce functionality. Designed and implemented backend API services with C# (ASP.NET Core) to support various e-commerce features such as user authentication, order processing, and product management. Utilized SQL Server to design and optimize relational database schemas, ensuring efficient data storage and retrieval for products, orders, and user accounts. Improved user engagement by 30% through the development of a responsive, intuitive front-end UI using AngularJS, ensuring a seamless experience across both web and mobile platforms. Enhanced database performance by 15% through the use of advanced indexing and query optimization techniques in SQL Server, ensuring faster data retrieval and more efficient resource usage. Integrated real-time inventory tracking and payment gateway functionalities using third-party APIs, streamlining the checkout process and improving operational efficiency for The HomeMart platform. AICAN AUTOMATE: Data Science Intern Mar 2022 – Apr 2022 • Preprocessed and cleaned data on big datasets with Pandas and SQL, increasing the accuracy of the data by 20% for further research. Used Power BI to create reports and data visualizations that helped decision-makers by successfully conveying insights to non-technical stakeholders. • Contributed to predictive analytics for customer behavior by helping to construct machine learning models (regression, classification) using scikit-learn. EDUCATION: DRK INSTITUTE OF SCIENCE AND TECHNOLOGY, Hyderabad Sept 2019 – August 2023 Bachelor’s, Computer Science and Engineering ACADEMIC PROJECTS: Decision Tree Model For Email Classification, Python Sept 2023 • Developed a decision tree model to classify emails into categories such as spam, promotional, and personal, enhancing email sorting efficiency. • Achieved a classification accuracy of over 90%, leveraging techniques like feature selection and crossvalidation to optimize the model's performance. Implemented data preprocessing techniques, including tokenization and stop-word removal, to improve the model's ability to handle unstructured email text and boost classification precision. • Towards Shared Ownership In Cloud, Java • • • Implemented shared ownership in a cloud environment by adopting a microservices architecture, allowing teams to independently develop, deploy, and maintain their respective services in Java. Leveraged containerization with Docker and Kubernetes to ensure seamless collaboration across teams, providing flexibility in ownership while maintaining system reliability and scalability. Developed RESTful APIs in Java, enabling clear and secure communication between microservices, ensuring each team could focus on its module while maintaining cohesive system functionality. Certifications: • • • • • • June 2023 AWS Cloud Certified Practitioner Certification Generative AI from IIT HYDERABAD Internship at Aican Automate Certificate from SSSIT on Python Certificate from Teachnook on Data Science Certificate from udemy on web dev using C# Courses : 01/2025 – 04/2025 AWS Cloud Restart (Amazon) 01/2025 – 02/2025 Mastering Generative AI 10/2023 – 11/2023 Web Development With C# And ASP.NET, UDEMY 02/2023 – 04/2023 Python, SSSIT Interests : Travelling, cooking, watching web series.
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