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Machine Learning Projects

Hello! I am Abhishek Sharma

And I am 22 years old. I have completed my B.Tech. degree (focused in Electronics and Communication Engineering) from Maharaja Agrasen Institute of Technology. For the last 3 years, I am exploring various fields of Data Science, and day by day I am getting even more and more curious about what can be done using AI.

I prefer implementing projects over the theory part as in my opinion that is the best way of learning. I have done various projects regarding Image Processing, Exploratory Data Analysis, Natural Language Processing, Classification, Regression, and Clustering, and I am on a mission to contribute these projects to the community.

Also what I like to do is to create tool websites like Tools in Cloud, Pro JPEG Compressor, Base64 Encoder, Base64 Decoder, Youtube Thumbnail Downloader, Banks IFSC codes website, and many more…


Data Scientist @

Lumiq is a group of data scientists, engineers, and consultants who bring in a highly customized set of applications and processes to data management and data-driven business transformation. Lumiq’s secret sauce is its step-by-step iterative approach to integrating AI/ML with data modeling.

Nov 2021- Present

Data Science Intern @

Aug 2021- Nov 2021

Data Science Intern @ SEUTUS Pvt. Ltd.

Seutus is a startup known for its excellence in giving solutions for waste management. I successfully completed the tasks allotted to me regarding automation, using machine learning.

Dec 2019 – Feb 2020

Python Developer @ RoboDatics(a unit of Elfedge Solutions)

RoboDatics is a startup known for its excellence in customized electronic projects and home automation. I successfully completed 4 major projects during this internship face recognition-based attendance system, security software for schools and colleges, inventory management system my biggest achievement was that I was working on a major software project for a well-known company HINDALCO (a unit of Aditya Birla Group) and they had also approved my first prototype.

Mar 2019 – Aug 2019

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