Summary
Overview
Work History
Education
Skills
Certification
Timeline
Hi, I’m

Dhanush GV

Bengaluru
Dhanush GV

Summary

"Driven Data Scientist/Machine Learning Engineer seeking to bring expertise in machine learning, statistics, problem-solving, and python programming to a technology company. Passionate about creating custom ML models to meet business needs, with a proven track record of delivering accurate, high-performance and scalable solutions. Excited to join a dynamic team where learning and contributing to cutting-edge technology is a priority."

Overview

2
years of professional experience
1
Certification

Work History

Ford GME

Data Analyst
07.2022 - Current

Job overview

  • NLP-Based Automated Summarization : I spearheaded development of a cutting-edge summarization system utilizing state-of-the-art techniques in natural language processing. The project involved designing and implementing algorithms for text pre-processing, feature extraction, and model training, resulting in a highly accurate and efficient summarization system. In addition, I collaborated with cross-functional teams to integrate the system into various applications, resulting in improved user engagement and satisfaction. I have a strong background in machine learning, data analysis, and software development, and am always seeking new challenges and opportunities to expand my skills.

Utilized tools: Hugging-Face, Sentencepiece,Transformers, and NLP techniques for text pre-processing, feature extraction, and model training.

  • Segmentation and Classification for 3D Pointcloud: "As a skilled Machine Learning Engineer, I led the development of a project for the segmentation and classification of 3D point-clouds. My project involved designing and implementing algorithms for point cloud pre-processing, feature extraction,and model training using deep learning techniques. I successfully segmented and classified point clouds into
    different object classes, resulting in improved object detection and recognition in autonomous Systems.

Utilized tools : Point-cloudlibrary(PCL), Tensorflow and PyTorch, Git.

  • Smart AFD: Being an automation project,I was involved in developing the automation tool for utilization of excel sheet and generating description of changes that has happened with respect to Assembly part numbers, flow process and any other modification that has been implemented which does not require human assistance for understanding the changes.

Utilized Tools : Python,NLP.

Volvo India PVt Ltd

Design Engineer
10.2018 - 09.2019

Job overview

  • Manufacturing Optimization: I was part of the manufacturing optimization techniques where in we planned the assembly flow diagram of the Volvo Trucks to be assembled for desired numbers along with new models to be built in the same plant without requiring the need for a separate assembly stations.
  • Effective utilization of 3M's :Men,Machine,Material are the 3M's in the manufacturing unit. We were successful in Integrating Management of Men, Machine, and Material in Manufacturing Unit for Efficient Operations"
  • Provided technical engineering support and project management for design, engineering and development of assembly products.
  • Tested feasibility, design, operation and performance of equipment, components and systems.

Indian Institute of Science

Graduate Research Assistant
09.2017 - 07.2018

Job overview

  • Researched information regarding Robotics to assist professors with academic pursuits.
  • Performed statistical, qualitative and quantitative analysis.
  • Contributed to professionally-written scientific paper for publication.
  • Gathered, reviewed, and summarized literature from scientific journals such as SciFinder and PubMed and produced graphs and other scientific calculations.

Education

Great Lakes Institute
Bengaluru

PGP-DSE from Data Science And Machine Learning
05.2022

University Overview

VTU
Karnataka

B.E. from Mechanical Engineering (8.31)
07.2017

University Overview

Skills

  • Machine Learning: Supervised/unsupervised Learning
  • Decision Tree Regression/Classifier
  • Boosting and Bagging: Xg-Boost, Ada-boost, Random
    Forest/Gradient Boosting
  • Data Visualization: Tableau, Microsoft Power BI
  • Deep Learning: TensorFlow and Keras, NLP, Computer Vision
  • MySQL

Certification

  • Cutshort Certified Python:Advance
    https://cutshort.io/certificate/66623
  • Analyzing and Visualizing Data with Microsoft Power BI
    https://olympus1.mygreatlearning.com/course_certificate/QRUJIIQO
  • Computer Vision Essentials
    https://olympus1.mygreatlearning.com/course_certificate/DHEPQLMS
  • Introduction to TensorFlow and Keras
    https://olympus1.mygreatlearning.com/course_certificate/DTOQWKSX
  • Introduction To Deep Learning
    https://olympus1.mygreatlearning.com/course_certificate/JXRPDLIB

Timeline

Data Analyst
Ford GME
07.2022 - Current
Design Engineer
Volvo India PVt Ltd
10.2018 - 09.2019
Graduate Research Assistant
Indian Institute of Science
09.2017 - 07.2018
Great Lakes Institute
PGP-DSE from Data Science And Machine Learning
VTU
B.E. from Mechanical Engineering (8.31)
Dhanush GV