Participated in an inter-college workathon 2024 as a team member
- Advancing to the final round
- Specifically focused on developing Python connectivity with the ESP8266 module using PyCharm and integrating it with hardware components.
Vedant Vichare
Summary
To secure an internship at Northern Trust where I can leverage my computer science skills and contribute effectively to innovative software solutions, while gaining valuable industry experience in a dynamic team environment.
Work History
Education
Bachelor of Technology (B.Tech) in Computer Engineering - Computer Engineering
MIT World Peace University
01.2026
XII (HSC) -
DYNDEEP ENGLISH MEDIUM SCHOOL MORVANDE BORAJ
01.2022
X (SSC) -
01.2020
Skills
- Proficient in C, C, and Python, with a strong grasp of object-oriented programming principles
- Familiar with version control using Git and GitHub
- Competent in data structures and algorithms, with problem-solving and analytical abilities
- Proficient in machine learning and deep learning(ANN and CNN)
- Adept at using MySQL and MongoDB for database management
- Knowledgeable in Operating Systems, Computer Networks, and Database Management Systems
- Understand basic concept of HTML,CSS,JAVASCRIPT
- Good Knowledge about data preprocessing
Accomplishments
- 2nd Semester B.Tech: Ranked 2nd with a GPA of 9.32 and a CGPA of 9.0.
- 3rd Semester (Computer Department): Ranked 6th with a GPA of 8.86 and a CGPA of 8.95.
- 4th Semester B.Tech (Computer Department): In Top 3 with a GPA of 9.33 and a CGPA of 9.04.
- Dr. Vishwanath Karad Merit Scholarship: Fee waiver for the entire B.Tech program duration of four years, awarded for achieving a 98.3 percentile in MHT CET and covering 100% of fees.
- Achieved a 5-star rating on HackerRank in Problem Solving.
- Completed the "Supervised Learning" course by Andrew Ng on Coursera.
Contactno
8767633653
Hackerrank
https://www.hackerrank.com/profile/vedantvichare669
Courseralink
https://coursera.org/share/a3ad386bd7f5a25e5ce419ed1f09a397
Projects
X-ray Classification with Deep Learning, Implemented a deep learning CNN model to classify chest X-ray images as pneumonia or normal with high accuracy. Built a Flask-based web app for real-time prediction using saliency maps for visualization., https://github.com/VedantVichare/Xray-project.git Smart Classroom Lighting and Safety System, Created a smart classroom system in Python using speech recognition and text-to-speech. Integrated ESP8266 for hardware control, implemented threading and timer modules, and enabled Arduino interaction via pyfirmata2., https://github.com/VedantVichare
Timeline
Participated in an inter-college workathon 2024 as a team member
Bachelor of Technology (B.Tech) in Computer Engineering - Computer Engineering
MIT World Peace University
XII (HSC) -
DYNDEEP ENGLISH MEDIUM SCHOOL MORVANDE BORAJ