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Harsh S - Machine learning developerLD Talent logo

Harsh S

ML Engineer Preferred Title
$25.00 /hr $ 43.0K /yr Hourly Rate and Yearly Salary
Overview Vetting Experiences Qualifications
Overview
Basic Summary
LD Talent History
  • Average Response Time 10.6 hours
  • Average Count of Messages/Day 0.8
  • Project Completion Rate 2/4
  • Interview Acceptance Rate 4/6
  • Timezone Overlap 12h PST, 12h UTC
Vetting Summary
  • Code Quality 60%
  • Soft Skill Attributes 60%
  • Expertise 2/3
  • Coding Challenges 60%
  • No. of Lifelong Learning Projects 2
  • No. of Coding Challenges Completed 2
  • More details
Talent's Devices
  • Desktop Windows
  • Phone Android
General
  • Member Since Mar 14, 2020
  • Profile Last Updated Jul 25, 2020
  • Last Activity Nov. 12, 2021, 9:33 a.m. UTC
  • Location India
Profile Summary
A Machine Learning engineer with experience in Deep Learning and Data Science. Application of analytical skills for problem solving keeps me passionately involved. I am interested in applying technology for real applications and always desire working in a fast paced, test-driven and collaborative engineering environment.
Skills
Total Experience: 7 years
  • Machine learning (5E, 6Y)

    5 experiences, across 6 years
  • Natural language processing (2E, 6Y)

    2 experiences, across 6 years
  • Deep learning (1E, 5Y)

    1 experience, across 5 years
  • Computer vision (1E, 5Y)

    1 experience, across 5 years
  • Data Science (2E, 5Y)

    2 experiences, across 5 years
Weekly Availability
Timezone Overlap with 06 - 21 per Week: 12h PST, 12h UTC
Day
Monday
Tuesday
Friday
Saturday
UTC
18 - 21
18 - 21
18 - 21
18 - 21
PST
11 - 14
11 - 14
11 - 14
11 - 14
Vetting
  • Interview Data
  • Agile Development Process
  • Productivity and Responsiveness
  • Teamwork
  • Software Engineering
  • Logical Thinking
  • Technical Strength
  • Intellectual Merit
  • English Communication
  • Documentation
  • System Design
  • Coding Challenges
    60%
  • Algorithms Score
    60%
  • General Score
    60%
  • Easy Algorithm
  • Correctness
    60%
  • Performance
    60%
  • Medium Algorithm
  • Correctness
    60%
  • Performance
    60%
  • Hard Algorithm
  • Correctness
    60%
  • Performance
    60%
  • Expertise
    2/3
  • Design Patterns and Architectures
    2/3
  • Debugging
    2/3
  • Stack Traces
    2/3
  • Testing
    2/3
  • System Administration
    2/3
  • Soft Skill Attributes
    60%
  • Entrepreneurial
    60%
  • Whole Brained
    60%
  • Divergent Thinking / Creativity
    60%
  • Design Ability
    60%
  • Empathy
    60%
  • Project Management Ability
    60%
  • Security
    60%
  • Code Quality
    60%
  • Complex Logic
    60%
  • Models
    60%
  • Controllers
    60%
  • Templates
    60%
  • APIs
    60%
  • Training/Testing Data Models
    60%
  • Code Readability
    60%
  • Ongoing Evaluation
  • Number of Lifelong Learning Project
    2
  • Number of Coding Challenge Completed
    3
  • Lifelong Learning Project 1
  • Lifelong Learning Project 1
  • Coding Challenges 1
  • Coding Challenges 2
  • Coding Challenges 3
Experience
Data Scientist
Employment
Jul 2018 - Present
American Express Company
Finance Industry
Project: Personalisation of offer campaigns
  • Data Science
  • Machine learning
  • Machine Learning: Built Machine learning models for personalised offers on American Express Cards
  • Data Science: Perform Quantitative Analysis for designing offer construct
Data Scientist
Internship
May 2017 - Present
Maroon.ai Company
Technology Industry
Project: Data Science & NLP
  • Machine learning
  • Natural language processing
  • Machine Learning: Built model for text documents classification using Neural Networks and NLP.
  • Natural Language processing: Developed algorithm for hierarchical clustering
Contributing Writer
Contract
Mar 2019 - Present
TowardsDataScience | Medium Company
Technology Industry
Project: Blog writing
  • Data Science
  • Machine learning
  • Data Science: Authoring articles revolving around Deep Learning, Machine Learning and Data Science in general
  • Machine Learning: Been read by more than 2.5k readers, articles attract 1k+ views monthly with best read ratio of 63%
Website Links
  • https://medium.com/@hsahu
Student
Course Project
Feb 2018 - Present
IIT Delhi Company
Technology Industry
Project: Dominant Speaker Recognition in videos
  • Deep learning
  • Computer vision
  • Extracted and prepared frame-wise data of 6 speakers (1500 images per speaker) via youtube using Opencv
  • Computer vision: Used OpenCV's Classi er and a heuristic approach based on consecutive images' correlation to remove noise
  • Deep Learning: Implemented Grad-CAM and t-distributed stochastic neighbor embedding (t-SNE) to visualize deep net
Github Links
  • https://github.com/SahuH/Dominant-speaker-recognition-in-videos
Student
Course Project
Jan 2018 - Present
IIT Delhi Company
Technology Industry
Project: Hard Coding Core Work-horses of Deep Neural network
  • Machine learning
  • Machine Learning: Hard coded a feed forward neural network from scratch without using machine learning libraries
  • Added Lasso, Ridge regularization, batch normalization and dropout to improve the working of DNN
Github Links
  • https://github.com/SahuH/Build-DNN-from-scratch
Student
Course Project
Jan 2017 - Apr 2018
IIT Delhi Company
Finance Industry
Project: Thesis: Stock prediction using Deep Learning
  • Natural language processing
  • Machine learning
  • Prepared our own novel nancial news data via scraping web pages for several stocks and indexes
  • Natural Language Processing: Experimented with several novel techniques to quantify text, namely, word2vec, tf-idf and sentiment scoring
  • Machine Learning: Combined stock and text data using t-distributed stochastic embedding (t-SNE), fed into LSTM architecture
  • Implemented CNN-LSTM taking several days' news as input to preserve both spatial and temporal component
Qualifications
Education
Indian Institute of Technology Delhi (IIT Delhi)
Jul 2014 - May 2018
B.Tech 
Courses
Advanced Machine Learning
Jul 2017 - Nov 2017
IIT Delhi
  • Deep learning
  • Machine learning
Deep Learning
Jan 2018 - Apr 2018
IIT Delhi
  • Deep learning
  • Computer vision
  • Machine learning
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