Kumar Abhishek

Kumar Abhishek has a diverse work experience, starting with an internship as a Software Developer at 4Cplus in 2016. During their internship, they developed web-forms using ASP.Net and created procedures on SQL server.

After their internship, Kumar joined iCubesWire in 2017 as a Data Scientist. At iCubesWire, they developed full-stack web applications for processing, analyzing, and visualizing data. Kumar also managed time-sensitive updates and solved complex dataset problems using distributed computing, large-scale design, real-time data processing, and Machine Learning techniques. Kumar worked in this role until 2019.

In 2019, Kumar joined Dew Solutions Pvt Ltd as a Software Engineer. During their time at Dew Solutions, they worked on various projects, including developing a program to generate fashion model images on a Mannequin, backend and frontend development of a doubt solving portal using Flask, OpenCV, Elasticsearch, and Machine Learning algorithms, and building a Chatbot for an e-commerce website using Rasa. Kumar contributed until the end of 2020.

Currently, Kumar Abhishek is working at Cavisson Systems, Inc. as a Python Tech Lead, starting in 2022.

Kumar Abhishek's education history is as follows:

From 2012 to 2017, Kumar Abhishek attended Ansal University, where they obtained a Bachelor's degree in Computer Science.

In 2017, they earned a Certification in Data Science from edX.

The same year, Kumar Abhishek pursued further education at Ivy Professional School, where they received a Certification in Data Science and Artificial Intelligence.

In 2018, they completed a specialization in Deep Learning from Coursera.

In addition to their formal education, Kumar Abhishek also obtained several certifications. In October 2017, they obtained a certification in Data Science Essentials from Microsoft. In June and July 2018, they obtained certifications in various aspects of neural networks and machine learning from Coursera, including Convolutional Neural Networks, Improving Deep Neural Networks, Neural Networks and Deep Learning, and Structuring Machine Learning Projects.