Vinit Kumar

'No' does not mean never, only not now !!!.

About Me

“ To seek a challenging level position in the IT Professional by learning and growing in an organization having a Professional and Cutting edge technology enabled working environment. “


Projects

Loan Prediction

[ Technology Used – Machine Learning ]

This Project automate the loan eligibility process (real time) based on customer detail provided while filling online application form. These details are Gender, Marital Status, Education, Number of Dependents, Income, Loan Amount, Credit History and others. To automate this process, they have given a problem to identify the customers’ segments, those are eligible for loan amount so that they can specifically target these customers.
Student Information Mantenance System (SIMS)

[Technology Used – php, Mysql]

This project provides effective Student Information Maintenance System (SIMS. By using this system college administrators and management can manage all students information, attendance, mark sheets, fee payments, extra circular activities,

Experience


April 2018

Software Developer – SULMBIHAR



October 2018 - Dec 2018

Intern Machine learning – IIT PATNA

Working For State Urban Livelihoods Mission (SULM) As a Full Stack Developer using Technology CodeIgniter, HTML CSS3, Ajax, Mysql.sulmbihar


During Internship got fascinated with Machine Learning Algorithm's. focused on different Algorithm, Linear Regression, Logistic Regression, Support Vector Machines, KNN and tools, Numpy, Pandas, Dataframe , Sklearn & keras.


Education


Feb 2019

Master In Computer Application
A.N College

Patna
Jul 2012 - jun 2015

Bachelor In Computer Application
B.D College

Patna
August 2010 - June 2012

Intermidite
Jharkhan Academic Council

Ranchi
May 2010

High School
Jharkhan Academic Council

Ranchi
During this Phase got fascinated with python and Machine Learning. focused on Machine Learning and Practice's of different Algorithm's and tools along with my academic structure. Did a Project on machine Learning "To predict Loan Defaulter " Qualified with 72.8%.
During this Phase I studied about Computer Science got fascinated with different Algorithms and introduced to several new Terminology made several minor projects with my colleague qualified with 72.2%.


Introduced with several Eyeopening Science Facts and Computer Science. Qualified with 54.5%.


Foundation of Learning begin In High School. Introduced to several Life changing facts. loved Science and Social Science. Qualified with 71.5%.

skills












Python
Numpy
Pandas
Dataframe
ML Algrotham
Series
Scipy
Matplotilib
Sklearn

Programming

C, C++, Core java

Web Development

HTML, CSS (Bootstrap), PHP(Codeigniter)

Others

Git, Github, colab.research

Assets

Responsible, Diligence, Labour, Creative, Funny, Great Communicator, Flexible

Languages

English Hindi Spanish
Blog Category