As a current graduate student enrolled in the Masters program in Applied Computer Science at Concordia University, I am deeply committed to continuous self-improvement and seek to find a platform that will enable me to achieve my goals and excel in my field.
My current endeavors include engagement in Competitive Programming and working on projects aimed at addressing everyday challenges. I am highly enthusiastic about Data Science and Machine Learning and am consistently exploring opportunities to expand my knowledge and skill set across diverse domains and technologies.
I am highly motivated to continue learning and am constantly seeking opportunities to work with and learn from exciting new technologies. I am also actively contributing to Open-Source projects in order to provide efficient code that can be utilized in global projects.
GPA: 3.15
CPI: 9.37
Score: 75%
Score: 81%
Implementing image pre-processing techniques using OpenCV for enhanced data quality.
Utilizing convolutional neural networks (CNNs) for advanced feature extraction
in images.
Applying machine learning algorithms from the sklearn library for model
optimization.
Developing an end-to-end deep learning solution for image similarity detection.
Employing Tensorflow and Keras frameworks to design, train, and validate custom
deep learning
models.
Developed Industry 4.0 compatible solutions for lathe machines and implemented fault
prognosis and
classification using machine learning techniques for online tool condition
monitoring.
Designed a web application to display real-time statistics and data
visualizations of lathe machine
states.
Improved data gathering techniques and utilized machine learning to select features,
develop, and
optimize classifiers.
Processed, cleansed, and verified data integrity for analysis, creating clear
presentations of results
using various data visualization techniques.
Developed automatic anomaly detection systems and regularly monitored their
performance.
Collaborated with the design team to understand end-user requirements and delivered
technical
solutions for performance tuning, improvement, balance, usability, and automation.
Ensured proper functioning of active programs by working on the server side,
updating existing
programs, resolving errors, and creating new programs.
Completed Skill Assessments for Python, Machine Learning, Java, OOP, C, Git & MySQL in LinkedIn Assessment Tests.
Level 80 on BinarySearch Website for Competitive Programming. Among Top 10 in writing Best Solutions.
Among Top 2000 in Google Coding Competitions such as Codejam, Kickstart and Hashcode for various Levels.
Gold Badge for Python and C Language as well as Silver Badge for C++ and Problem Solving in HackerRank.
Selected under Top 30 teams at State Level in Student Open Innovation Challenge 2020 (SOIC - SSIP) and granted funding for this Startup Prototype. Currently working on it's prototype under SSIP.
Showcased 5 Projects (As a Team Leader in 4 Projects and as a Team Member in 1 Project) at once in the Project Expo of LJIV at LJ Campus.
Projects Showcased:
Showcased the Project/Website of Multi-Level Marketing(MLM) under SSIP Gujarat at District Level.
Showcased Project FLECK PRO (As a Team Leader) in the Project Expo of LJIV 2019 at LJ Campus. Further, the Project got selected in the Top 15 (Out of 300 Projects) in the Startup Cell at LJIIE Organization.
Here are some of my Blogs from the Developer's Community. For more blogs check my dev.to and community.codenewbie.org.
VacCowin is a CLI based Python Script that can be used to perform tasks such as OTP Generation till Vaccination Slot Booking....
A Replica of the hidden Dinosaur Game from Chrome Browser Offline mode so you don't have to be offline...
The above script uses lossy compression methods to reduce the document size of your JPG/PNG files....
Video Streaming Platforms are becoming an integral part of our lives today as now and then you need them to get information.....
Why solve Sudoku by hand, when you can write script to solve them for ya ?!
A Contactless Attendance System where your face is identified for Attendance. CAS reduces manual process errors by providing.....
The above script uses TinyPNG's savvy lossy compression methods to reduce the document size of your JPG/PNG files....