Rohit Negi

ROHIT NEGI LinkedIn | - |-| GitHub Skills ____________________________________________________________________________________ • • • Python | Machine Learning | Deep Learning | Neural Networks | Data Analysis | Statistics | Scikit-learn | Tensorflow | NLP | nltk | XGBoost Java | C | C++ | JavaScript | Typescript | Node | Express | React | React Native | Redux | SQL | MongoDB | Firebase | CSS | PHP | UI/UX | Git DSA | OOPS | DBMS | OS | Cloud Computing | Full-Stack | Frontend | Backend | English, Korean, Japanese - ( Extra international languages ) Experience _______________________________________________________________________________ Karkhana.io Software Engineer, Intern Jan/23 – May/23 • Led the design and development of multiple national-level manufacturing service portals of the company , boosting in 30% more efficiency and accuracy of data integration using the latest technology of Frappe, TypeScript, React and advanced UI modules. • Designed and implemented the scalable APIs and backend manipulation for managing and securing the fast pace of optimisation level. OutShade Digital Media Software Engineer, Intern Aug/22 – Sep/22 • Spearheaded the revitalization of modules by leading cross-functional teams in brainstorming sessions, resulting in the successful implementation of 15+ new features and a 40% reduction in customer complaints. • Amplified the production of the website’s benefits by making use of technologies like React with Firebase, Axios APIs and UI patterns. Software Engineer, Intern BITCS Dec/21 – Jul/22 • • Delivered the high quality software applications and solutions which are extensible and scalable using Redux, JavaScript and UI designs. Volunteered with the development team to build UI/UX designs as per the software research. • Drove 75%+ productivity gains by effectively identifying product requirements, implementing enhancements, & resolving technical issues. Education ________________________________________________________________________________ Bachelor of Technology • Major in Computer Science & Engineering Intermediate ( 12th ) • Major in Science High School ( 10th ) • General Education Indian Institute of Information Technology, Manipur ( 8.9 cpi ) Shri Guru Ram Rai Public School, Uttarakhand ( 93 % ) Shri Guru Ram Rai Public School, Uttarakhand ( 10 cpi ) Jul/19 – May/23 May/18 – May/19 May/16 – May/17 Projects __________________________________________________________________________________ AIR CANVAS (drawing in air) • • Virtual painter is designed for sketching or writing in the air, recognising hand gestures and displaying them on the screen without even touching the screen, and can be used with various coloured brushes and erasers. ( Tools : OpenCV, Numpy, Python ) Benefits: For deaf and mute people in communication and presenting an idea in the real-world space by minimising the use of writing. CREDIT CARD FRAUD DETECTION • • • Machine Learning Developed a machine learning model to detect fraudulent credit card transactions on algorithms like Logistic Regression ( 92.96% ), LinearSVC ( 49.75% ), Random-Forest ( 93.97% ), Neural Network ( 71.86%), Decision Tree ( 89.95%) and Naive Bayes ( 86.93%) . Utilized Python and popular tools such as Scikit-Learn , Cross Validation, Hyperparameter Tuning and Pandas for data preprocessing. Achieved an accuracy rate of 93.97 % in identifying fraudulent transactions, contributing to improved security for financial transactions.. SOLOGRAM • Machine Learning Web-App An easy-to-use social networking platform that offers functions including sign-up, sign-in, post creation, post deletion, like, remark, follow/unfollow, and logout for user engagement and amusement. (Tools : MERN STACK:: React, Node, Express, Mongo, CSS ) Certifications ____________________________________________________________________________ 1. Artificial Intelligence and Machine Learning in Business – Alison 3. Data Science and Machine Learning fundamentals – CFI 5. Intro & Advanced SQL - Kaggle 2. Deep Learning with TensorFlow - Cognitive Class 4. Intro & Intermediate Machine Learning & Algo - Kaggle 6. Full Stack Development ( MERN Stack ) - Udemy Achievements ____________________________________________________________________________ • • GOOGLE Kickstart competition : secured a good rank Global Rank : 4513 Awarded by ‘Einstein of the year’ and 'Rohan Bisht Award ' for securing topmost positions in 12th and 10th.