A passionate and innovative Information Technology student with a strong foundation in full-stack development, mobile app development, and machine learning. Eager to leverage my technical skills and creative problem-solving abilities to build impactful digital solutions.
Information Technology Student & Developer
I am a dedicated Information Technology student with a keen interest in full-stack development and emerging technologies. My technical journey encompasses building responsive web applications, developing cross-platform mobile solutions, and implementing machine learning models. I specialize in creating efficient, scalable, and user-centric applications using modern tech stacks including Python, Django, Flutter, and React.
Currently pursuing my Bachelor's degree in Information Technology at Birla Vishwakarma Mahavidyalaya, I have developed a robust skill set in both front-end and back-end technologies. My expertise spans from crafting intuitive user interfaces to implementing complex backend systems. I am particularly passionate about integrating machine learning capabilities into web applications, as demonstrated through projects like my movie recommendation system and fake news detector. My approach combines technical excellence with creative problem-solving to deliver solutions that make a real impact.
Full Stack Development, REST APIs, ML Integration
90%Flutter, React Native, Cross-platform Apps
85%Pandas, NumPy, scikit-learn, Data Preprocessing
80%React, HTML, CSS, JavaScript, REST APIs
85%Professional Experience & Achievements
Academic Background and Qualifications
Currently pursuing B.Tech in Information Technology
Completed Higher Secondary Education
Professional Certifications and Training
Covered data lifecycle, pre-processing, visualization, basic analytics, and introductory ML.
Technical Expertise & Proficiencies
Showcasing My Best Work
React-Native Expo based Mobile Application Which is Primarily Focus on Tracking Expenses of user. Displaying the grand Total of Income, Expense and total balance.
An intelligent movie recommendation system built using Python, Scikit-learn, and Pandas. Utilizes cosine similarity algorithms to provide personalized movie suggestions based on user preferences and viewing history.
I'm always open to discussing new projects, creative ideas or opportunities to be part of your visions.
