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Harsha KGHK

Harsha KG

@harshakg

Machine Learning Intern at Neurons AI

Bengaluru

www.linkedin.com/in/harsha-kg-b66aa518b

Neurons AIChrist (Deemed to be University)

Harsha KG is a data science professional with experience in machine learning, natural language processing, and geospatial analysis. He has held roles including Business Analyst and Machine Learning Intern, focusing on compensation analysis and mineral prospectivity mapping. Proficient in Python, SQL, and tools like Tableau and AWS, he is skilled in transforming complex data into actionable insights.

Experience

Machine Learning Intern

Neurons AI

•Jun 2023 - Present•Bengaluru

Advanced Mineral Prospectivity Mapping for Cu/Zn Deposits through Supervised Machine Learning/ Deep Learning.

Business Analyst Intern

Incentius

•Jan 2022 - Invalid Date•Pune

Compensation Analysis and Dashboard Management for WeWork.

Education

Christ (Deemed to be University)

Msc Data Science

Data Science

•Grade: 3.57

Christ(Deemed to be University)

BSc Data Science

Data Science

•Grade: 77%

IES Public School

BioMaths

Mathematics

•Grade: 80%

Licenses & Certifications

Life Expectancy Prediction Using Machine Learning

Coursera

• No expiration

Probability and Statistics using Python

Google

• No expiration

Google Analytics for Beginner

Infosys

• No expiration

Machine Learning: Beginners to Advanced

Kaggle

• No expiration

Bootcamp::Hands-On Foundational Data Science

CleverInsight

• No expiration

Introduction to Big Data

Coursera

• No expiration

Microsoft Excel from Beginner to Advanced

Udemy

• No expiration

Advanced Mineral Prospectivity Mapping for Cu/Zn Deposits through Supervised Machine Learning/ Deep Learning using Geophysical, Geological, and Geochemical Data

• No expiration

Skills

Python
R
SQL
MySQL
DBMS
Machine Learning
NLP
Deep Learning
LLMs
Statistics
GeoPandas
Tableau
PowerBI
Matplotlib
Seaborn
MS Excel
Web Analytics
Amadeus
Postman
AWS
GIS Software
Spatial Data Analysis
Spatial Statistics
Interpersonal
Logic
Reasoning
Leadership