0 + Projects completed
Name: Akshita
Address: Delhi, India
Technical Languages
Java 100%A highly motivated Software Developer & Data Scientist with expertise in Full-Stack Web Development and Machine Learning/AI. Passionate about building scalable applications, analyzing data-driven insights, and solving complex problems through cutting-edge technologies. Adept at working in fast-paced environments, collaborating with cross-functional teams, and continuously learning to stay ahead of industry trends.
0 + Projects completed
A passionate and results-driven ECE-AI student specializing in Machine Learning, Artificial Intelligence, and Full-Stack Development. Proficient in Java, Python, and modern web technologies, I have built and deployed intelligent software solutions, ML models, and scalable applications. With a strong analytical mindset and problem-solving skills, I thrive in both independent and collaborative environments. Eager to contribute innovative AI-powered solutions and full-stack applications to cutting-edge projects.
As an active member of the Google Developer Student Club, IGDTUW, I honed my problem-solving skills by successfully solving 150+ data structures and algorithm problems. Engaging in collaborative discussions, I enhanced my ability to analyze, optimize, and implement efficient algorithms, strengthening my proficiency in computational problem-solving and algorithmic thinking.
As a Machine Learning and AI Intern, I gained hands-on experience in data modeling, algorithm development, and predictive analytics. I developed a heart attack risk prediction model, leveraging machine learning techniques to analyze health data. Additionally, I built a wine quality prediction model using supervised learning algorithms, applying feature engineering and optimization techniques to enhance accuracy.
Grade: First class distinction.
Grade: First class distinction.
Below are the projects on Web Development and ML/AI.
Designed and implemented a full-stack hotel booking platform with features such as user authentication, dynamic hotel listings, real-time room availability checks, and a reservation management system. Delivered a responsive and seamless UI for efficient hotel search, booking, and management. Tech stack: Next.js, API Routes, App Router, MongoDB, Prisma ORM, Tailwind CSS.
Developed a full-stack web application using Next.js with API Routes and App Router for seamless navigation. Implemented real-time communication using WebSockets for live interactions. Designed and managed the PostgreSQL database, integrating Prisma ORM for efficient queries. Secured authentication and authorization with Clerk. Styled the responsive UI using Tailwind CSS for an enhanced user experience.
Devised a machine learning model to predict heart attack risks by analyzing patient data, medical history, lifestyle choices, and biometric information, providing personalized risk assessments. Tech stack: Python, Pandas, NumPy, Scikit-learn.
Below are the details to reach out to me!
Delhi, India