I'm Saketh Goljana, a product designer and full-stack developer with a strong background in computer science and a passion for building scalable, tech-driven solutions. I blend design and engineering to create responsive, data-powered web applications that prioritize both usability and performance. Proficient in front-end technologies like HTML, CSS, and JavaScript, I also build robust back-end systems using Node.js and MongoDB Atlas. I regularly work with APIs and cloud services to integrate dynamic features into my applications—like real-time weather data using the OpenWeather API. On the data side, I’m skilled in Python and its ecosystem of libraries including Pandas, NumPy, Matplotlib, and Scikit-learn, which I use for automation, data visualization, and intelligent functionality. I also work with SQL and Tableau for managing and representing structured data effectively.
I have a strong command of Data Structures and Algorithms, developed through consistent practice and coursework in C++, Java, and Python. This helps me write optimized, scalable code and architect logic-intensive systems with performance in mind. My approach to development is full-spectrum: from crafting seamless UIs to engineering efficient server logic and integrating real-time data pipelines. I thrive on solving technical challenges and continuously seek opportunities to innovate at the intersection of design, code, and data.
Embarking on a transformative journey in Computer Science and Engineering, I am honing expertise in full-stack development and data science. Through rigorous coursework and active engagement in technical clubs, hackathons, and innovation-driven competitions, I am cultivating a robust skill set while consistently achieving academic excellence.
Completed intermediate education with a focus on Mathematics, Physics, and Chemistry. Developed strong analytical skills and a foundation in STEM subjects.
Graduated with distinction, sparking an early passion for computer science and mathematics. Active participation in academic competitions and extracurricular initiatives sharpened my critical thinking and fostered a drive for innovation, setting the stage for my future in technology.
An AI-powered Lead Management System built for Elite Lounge to automate lead tracking, scoring, and personalized engagement. It analyzes user behavior to trigger custom emails and dynamic ad targeting. Built with Node.js, MongoDB, and Hugging Face API, the system boosts conversions with real-time analytics. Project Link. | Github Link.
The Leaf & Ladle Restaurant Website is a vibrant, beginner-friendly web platform that brings the joy of vegetarian dining to your fingertips. Designed for a fictional vegetarian restaurant with two branches, SproutHaven and VerdantVale, it allows users to browse cuisines like Indian and Chinese, add dishes to a cart, order for pickup or delivery, track orders in real-time, and reserve tables with ease. Powered by HTML, CSS, JavaScript, Node.js, Express, MongoDB Atlas, and Google OAuth 2.0 for secure sign-ins, this full-stack project combines intuitive design with modern tech, making it a perfect recipe for coders and foodies alike to explore, customize, and savor! 🌱🥄 Project Link | Project Link
FoodoFest is a clean and intuitive front-end food delivery website built with HTML and CSS. Designed with a smooth desktop experience in mind, it features an easy-to-navigate layout for seamless food ordering. Currently optimized for desktop, with plans for full mobile responsiveness underway! Project Link | Github Link
Image Magic is a responsive web app that compresses images efficiently while preserving quality. Built using Flask, HTML, CSS, and JavaScript, it offers an intuitive upload process and seamless performance across devices. Ideal for developers and content creators, it ensures optimized image handling with smooth deployment via Render. Project Link | Github Link
**Coffee Chain Dashboard** is an interactive Tableau project that visualizes coffee sales across the U.S. It highlights state-wise performance, seasonal trends, and product-wise market size, making it easy to analyze and improve business strategies effectively. Github Link
The Wildlife Intrusion Alert System is a computer vision-based solution designed violin detect wildlife intrusions in farmland or other monitored areas and alert users via SMS. Built with Python, YOLOv8 (ultralytics), OpenCV, and Twilio, the system processes images (including night vision) to identify animals and sends real-time notifications to a specified phone number. The implementation is provided in a Google Colab notebook, leveraging free cloud computing resources for ease of use. Github Link.
Consistent code contributions across multiple full-stack and data projects. Focused on clean, maintainable, and version-controlled development.
Completed in-depth learning in Python, Data Science, Tableau, and ML. Covered real-world applications, dashboards, and cloud concepts.
Completed verified courses from Coursera, Udemy, NPTEL, and more. Focused on Python, Cloud, DSA, React, SQL, and related technologies.
Developed and contributed over 5K+ lines of code in various full-stack projects, focusing on frontend technologies like React, backend development with Node.js, and database management with MongoDB and SQL. Expertise includes implementing advanced features such as user authentication, real-time data processing, and AI integration.