BALKUMAR VISHWAKARMA

A adaptable, creative and hard-working software developer with experience in Machine learning, Python for Data Science and Greatly interested in the field of Deep Learning using Python. I aspire to work on challenging and interesting projects that help me become a great resource in an esteemed organisation.

adi0h8@r.postjobfree.com +918*********

Chennai, India balkumartech.blogspot.com/

linkedin.com/in/balkumar-vishwakarma-3b062b188 github.com/BalkumarVishwakarma EDUCATION

B.TECH ECE

DR MGR EDUCATIONAL AND RESEARCH

INSTITUTE,CHENNAI

06/2016 - 07/2020, CGPA-8.71

SENIOR SECONDARY

JKSS INTER COLLEGE

05/2012 - 06/2014, Percentage - 81.6

SECONDARY

JS INTER COLLEGE

05/2012, Percentage - 68

WORK EXPERIENCE & TRAINING

MACHINE LEARNING INTERN

UCAL FUEL SYSYTEMS LTD

08/2017 - 06/2018,

In this internship i did real time hands on project experiences as crowd counting,object detection and object recognition. DATA SCIENCE INTERN

INTERNSHALA TRAINING

07/2019 - 08/2019,

Understanding the statistics for data science, predictive modeling and basics of machine learning.

PYTHON FOR DATA SCIENCE

NPTEL IIT MADRAS

08/2019 - 09/2019,

Understanding the Basic of python spider tool,data structure numpy,pandas dataframe,matplotlib, seaborn, regression and classification

ELECTRONICS MANUFACTURING INTERN

SALCOMP MANUFACTURING INDIA PVT. LTD.

01/2019 - 02/2019,

Gain industrial environment experiences how the team works together & basic knowledge of electronics

equipments.

SKILLS

Machine Learning Deep Learning

Python For Data Science Neural Networks

Data Science C & Data structure Python

PROJECTS

Video Counter Using Artificial Intelligence

People Counting System analyze the number of people in a given area. Open CV and Tensor Flow are one of the most widely . deep learning-based Faster region convolution neural network (Faster R- CNN) algorithm. pedestrian detection and counting. This application is helpful in airports, railway stations,retail stores, stadiums, public events, and museums.

Object Recognition Using Raspberry Pi 4B

Object recognition is done by the Pre-trained model MobileNet for recognizing the object with more than 95% accuracy. The model is trained with more than lakhs of images to recognize the object. An object such as Person, chairs, TV Monitor etc.

Automatic Motor “OFF”when water tanker full by using smart phone can on”ON” the Motor (AWARD)

Home Automation Using Arduino Uno

Home automation systems consist of a smartphone and microcontroller. A smart phone application is used to control and monitor the home appliances using different type of communication techniques as ZigBee, Wi-Fi, Bluetooth and GSM . ACHIEVEMENTS

My Creation Expo in Chennai international youth fest 3.0

Our team is one of the 1st runner up finalists among all the 36 entries who applied to my creation expo which was conducted chennai by Government of india. Team size: 5

Participation

1.Artificial Intelligence With Machine Learning (BITS PILANI HYDERABAD) 2.Space Technology Series :Introduction to Cansat & Rocketry (Dr MGR UNIVERSITY) 3.National Workshop on Innovation Engineering in Production techniques (VEL TECH UNIVERSITY) TOOLS

Open CV Matplotlib scikit-learn Keras

Pandas Numpy Seaborn

Achievements

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