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Hi, I'am Chandrashekhar
Elevating Solutions with Expert Software Development: Crafting Code, Driving Innovation
Contact MeAbout Me
My introduction
Welcome to my digital space! I'm a software developer at eClerx, passionate about creating elegant, user-centric solutions. With expertise in Python, Flask, Django, and more, I love transforming complex challenges into innovative applications. From building chatbots to leveraging AI and data science, I enjoy pushing the limits of technology. Let's connect and explore the endless possibilities of coding and creativity!
Skills
My technical levelPython Web Framework
Flask
Django
DataBase
Oracle SQL
Deep Learning
Tensorflow
Data Visualization
Tableau
Matplotlib
JAVA
Core Java
Web Scraping
Beautiful Soup
Selenium
Model Deployement
Hugging Face Spaces
Streamlit
Gradio
Machine Learning
Classification
Regression
Qualification
My personal journeySSC(10th)
Mithila English High SchoolHSC(Science)
K.J Somaiya College of Science and CommerceComputer Science Engineering (Artificial Intelligence and Machine Learning)
Saraswati College Of Engineering - Mumbai UniversityWeb Development
Udemy - instructor : Dr. Angela Yu100 Days of Python Bootcamp
Udemy - Instructor : Dr. Angela YuMachine Learning and Deep Learning
Udemy - instructor : Mr. Daniel BourkeData Science
Geeks For GeeksThe Ultimate MySQL Bootcamp
Udemy - instructor : Mr. Colt SteeleDjango Web Framework
CourseraTeaching at classes
Towards Success - PartTimeAI Intern
Qodeit - RemoteSoftware Developer
eClerxPortfolio
Most recent work
GenMed
This chatbot serves as a helpful tool for users seeking information on generic medication prices and locating the nearest Jan Aushadi Kendra. It utilizes data from various sources and leverages natural language processing capabilities.
Github Repo
MemoMore
MemoMore is a Django app facilitating efficient task management and revision, offering users seamless task viewing, submission, and organization features alongside reminders for timely revisions. It encourages community contributions to enhance the overall task management experience.
Github Repo
LipNet
LipNet is a deep learning model that aims to perform visual speech recognition by interpreting lip movements. The model combines convolutional neural networks (CNNs) to analyze and understand the visual information provided by lip movements during speech.
Github Repo Live Demo
Paddy Doctor
The Project was to identify the disease of paddy leaves. We have trained the model by using 10,000+ images and achieved the highest accuracy of 95.53%.
Github Repo
Exploratory Data Analysis - IPL
A web app providing in-depth analysis of IPL matches (2008-2022) with interactive visuals, yearly stats, and detailed match insights, built using Python and streamlit.
Github Repo Live Demo
Covid Dashboard
My first web project, built from scratch, displays a worldwide dashboard with up-to-date COVID-19 stats, safety tips, and vaccine info. Dive in to stay informed.
Github Repo Live DemoTestimonials
Feedback
Aaqib Shaikh
Technical Head - QodeitChandrashekhar was an exceptional AI and backend intern who demonstrated a strong understanding of programming languages like Python and SQL, and developed critical backend systems. He was a collaborative team member who approached challenges with a positive attitude, making valuable contributions to our organization. Overall, I highly recommend him.
Gautam Singh
AI Intern - QodeitI have collaborated with Chandrashekar Robbi on several projects, where we discussed topics related to machine learning, deep learning, computer vision, cloud APIs, and code debugging. Chandrashekar is skilled at managing multiple projects simultaneously and completing them efficiently. He is a great team player, passionate about solving challenging ML and DL problems, and always willing to assist others in the team to achieve the project objectives. Additionally, he is an enjoyable colleague to work with.