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Name: Kirisan Thiruchelvam

Type: User

Bio: <h1> Trust the Process </h1>

Location: London, UK

Blog: https://kkpro18.github.io/social.html

Hi there, I'm Kirisan Thiruchelvam 👋

About Me

I am a passionate developer with a keen interest in Machine Learning and Data Science. I enjoy working on open-source projects and collaborating with the developer community.

🔭 I’m currently working on an OSINT Project: Risk Scoring Email Addresses (Machine Learning)
🌱 I’m currently learning Machine Learning and Data Science.
👯 I’m looking to collaborate on Data Science Projects focusing on regression and classification problems.
🤔 I’m looking for help with Fine-Tuning XGB Models.
😄 Pronouns: he/him
⚡ Fun fact: I support Right to Repair!

GitHub Stats

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Portfolio

Check out my portfolio here to see more of my work and projects.

Support

If you like my work, consider buying me a coffee ☕

Tools & Technologies

Contributions

Kirisan Thiruchelvam's Projects

britishairwaysdatascientistjobsimulation

British Airways Data Scientist Job Simulation: Gathering, cleaning, and analyzing customer reviews to optimize satisfaction.

data_analysis_project_dr._semmelweis_the_discovery_of_handwashing

Data Analysis Project on the significance of washing hands in the 1800s.

facemaskdetectorcnn_haarcascade

infosysdatascience

InfoSys SpringBoard Python For Data Science Course: ML model predicting vehicle Miles Per Gallon based on characteristics like Year, Weight, Horsepower, and more.

What's Up! Thanks For Checking Out My Portfolio! My name is Kirisan Thiruchelvam and I love developing and creating web pages and software programs. I hope that one day I'll be a full-stack developer!

kkpro18.github.io

PersonalProjects

melbournehousepricepredictor

Kaggle Project: Predict House Prices based on its characteristics. Dataset used is linked.

predictingloandefaults

Predicting Loan Defaults using 15+ Features and over 250,000 records

rewards-converter

Project repo for the JPMC Software Engineering lite program

riskscoringemailaddresses-osint

sql_big_query

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