Ernest Kirubakaran Selvaraj
Mentor
(2 reviews)
US$10.00
For every 15 mins
4
Sessions/Jobs
ABOUT ME
Accomplished technology professional with 18+ years of experience specializing in machine learning research, end-to-end data science and AI engagements, business strategy, and building high-performing teams. Experienced in building transformational machine learning initiatives in multiple domains, including ad tech, automotive, manufacturing, telecom, banking, and retail. Proficient in leveraging large language models (LLMs) and Generative AI techniques to develop innovative solutions. Led R&D teams in developing novel, futuristic applications in computer vision, machine learning, and natural language processing.
New Delhi (+05:30)
Joined September 2018
EXPERTISE
10 years experience
8 years experience
RAG
2 years experience
5 years experience
2 years experience
1 year experience
REVIEWS FROM CLIENTS
(2 reviews)
Jay Jenkins
December 2018
A+
SOCIAL PRESENCE
Data-Hacks
Solutions for Data Science Hackathons
Jupyter Notebook
7
6
Statistics-and-Linear-Regression-in-R
Basic Statistics and Linear Regression for beginners with codes in R
R
2
2
1464 Reputation
0
11
15
EMPLOYMENTS
Director - Data Science
6sense
2022-07-01-Present
Matplotlib
Pandas
Machine learning
View more
Matplotlib
Pandas
Machine learning
Analytics
NLP
Google Cloud Platform
Management
Text Classification
Apache Spark
Pattern recognition
Plotly
Data governance
AWS
Scikit-learn
Prompt Engineering
Business acumen
Gradient boosted trees
View more
Director - Data Science & AI
Apty
2022-04-01-2022-07-01
Director - Data Science
Zeotap
2021-11-01-2022-03-01
Azure
B2C marketing
Azure
B2C marketing
PROJECTS
Automated Trading Bot
2023
I built an automated trading bot using Python + AWS ecosystem in this project. The trading strategy was swing trading based on candles an...
I built an automated trading bot using Python + AWS ecosystem in this project. The trading strategy was swing trading based on candles and other indicators such as Williams' Fractals, VWAP, and EMA. I had to convert the trader's strategy into a flow chart, code it in Python, build APIs for the bot, and test it on the past nine months of data. In addition, I had to write code for order sizing based on the margin amount available and execute the orders using order slicing.
Python 3
AWS
View more
Python 3
AWS
View more
Quality Control in Agri Products using Deep Learning + Computer Vision
2017
This project aims to build a quality control tool for the world’s largest producer of potato specialties. The tool is designed to perform...
This project aims to build a quality control tool for the world’s largest producer of potato specialties. The tool is designed to perform quality control (size, shape, coloration, defects, etc.) on a batch of potatoes. Images of potatoes are captured from high-res cameras placed above the production line. The algorithm then processes the images, segments the potatoes, and classifies them as good, bad, or defective, along with the extent of the defect. U-Net + VGG Network is used in the model. The algorithm achieved >99% accuracy in identifying potato dimensions and ~95% accuracy in identifying the defects;
Python 3
TensorFlow
Keras
View more
Python 3
TensorFlow
Keras
View more