Hello 👋🏽
I am Himanchal Chandra, a final year Electronics and Communication Engineering student 🙇♂️, a 21-something-year-old who is passionate about technology and loves to learn new things every day and keep up with the new technologies.
I started my coding journey 💻 in 2017 when I got my hands dirty doing Data Science in Python 🐍, lately, I have been doing Android Development in Kotlin.
Currently, I am a Machine Learning Engineering Intern at AtAI Labs, Hyderabad. I had also done a previous summer internship at IIIT Allahabad where I worked on Algorithms ⌛.
EXPERIENCE
Some of my experiences...
Machine Learning Intern - AtAI Labs
• Worked with the machine learning team in developing a SOTA (State Of The Art) model for seal detection using OpenCV
and deep learning in python.
• Developed an android application in Kotlin which utilizes the barcode scanner and text detection of MLkit SDK for seal
detection.
• Worked on the conversion of TensorFlow Models into TensorRT Models for high-performance deep learning inference
without much loss in accuracy
Student Researcher - BIT Mesra
• Worked on FaceNet, developed a biometric attendance Mobile Application using Kivy framework for its frontend and SQLite for its backend database in python.
• The biometric attendance application gave an accuracy of 97% and was able to capture faces in low-light condition.
Summer Intern - IIIT Allahabad
• Implemented different Deep Reinforcement Learning Algorithms for object manipulation with the Baxter robot.
• Implemented single-point and multi-point crossover variants of Genetic Algorithm from scratch in python.
• Trained a deep reinforcement learning model using keras on VOC Pascal Dataset for the object detection task.
PROJECTS
These are some of my recent projects
LinkedIn Scraper | Python, Selenium, BeautifulSoup, Pandas, Matplotlib
• Developed a web-scraper using selenium and beautiful soup to web-scrape Uber’s LinkedIn profile information such as employees name, job title, location, and the profile link.
• Ran a second scraper and extracted information such as employee’s experience, education, and skills for analysis using the profile link scraped in the previous section.
• I ran my analysis on about 1,000 employee profiles to get different insights on the data scientist role at Uber like what degree or level of education do you need, what skills are employers looking for, etc
Focus | Python, Keras, Opencv, NodeMCU, Mqtt
• Developed a smart glass inspired by Google glass for people suffering from Amyotrophic Lateral Sclerosis (ALS)
• The glasses can be controlled by eye gestures using a Deep Learning real-time gaze region estimation model which I
trained using Keras library
Attendance Management Application | Kivy, Matplotlib, Pytorch, Sqlite, Python
• Developed a biometric verification and management application using Kivy framework in python
• This application makes use of SQL based database for the backend, and the frontend is made using the Kivy framework in python
• There are many features available like registration of the new user, deletion of the user from the database, attendance marking, and visualization of day-to-day attendance of users
TECH STACK
Some of the technologies...
GET IN TOUCH
I'd love if you reached out to me. Even if it's just to say "Hey!". Don't hesitate! Drop me a line and I’ll get back to you ASAP!
Let's have a cup of coffee ☕️ :)