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Name: Mylie Mudaliyar

Type: User

Bio: Computer Science Undergrad. Machine Learning | Data Science | Data Visualization | Web Development

Twitter: mylie_mudaliyar

Location: India

Blog: www.linkedin.com/in/mylie-mudaliyar

Hi , I'm Mylie!

Get to know me more 🌟

Education 📚

🎓 I have done my Bachelors in Computer Science and Engineering from Vellore Institute of Technology, Vellore, India.

🎓 Moving to USA for my Masters in Data Science.

Interests 🔭

Note: To be honest there are many interests, and it does get overwhelming sometimes.

-I love exploring Data, Maths behind Machine Learning Algorithms, Statistics, Artificial Intelligence Applications, Advancements in Natural Language Processing, Financial Engineering, and Stock Investments.

- I absolutely love Reading be it fictional, non-fictional, self-help, autobiography, anything and everything.

- I think Music and Coffee are better than therapy. And baking. That too.

- I am obsessed with topics related to Space, Oceans, Psychology, Human Behaviour and Travelling. I can talk for hours.

- I love Photography, especially of Sky and Clouds.

- Occasionally I write blogs and play guitar too.

- Fun fact, I can talk to parrots.

- Ok, that's enough. Moving on.

Projects 🚀

- Most of my projects involve playing with DATA DATA DATA , and you'll get all the details and source codes in my GitHub Repositories.

Certificates

Resume

Tools / TechStack I Use 🛠️

My GitHub Stats 💻

Let's Connect! 🌐

I could watch this for ever.

Mylie Mudaliyar's Projects

credit-card-fraud-detection

Credit Fraud Detection of a highly imbalanced dataset of 280k transactions. Multiple ML algorithms(LogisticReg, ShallowNeuralNetwork, RandomForest, SVM, GradientBoosting) are compared for prediction purposes.

cs50-solutions-2022

My cs50 codes (2022) which I had submitted. Feel free to refer : )

disneyplushotstar-clone

Disney Plus Hotstar Clone using html, css and js.

ecomm-onlinestore-website

E-commerce Online Luxurious Furniture Store Website

excel-sales-dashboard

An Interactive Sales Dashboard on MS Excel of a Local Coffee Beans Shop with 1000 purchases.

feature-engineering-techiques-on-house-values

The feature engineering techniques discussed are - dimensionality reduction(pca), scaling(standard scaler, normalizer, minmaxscaler), categorical encoding(one hot/dummy), binning, clustering, feature selection. These are techniques performed on a dataset consisting of Californian House Prices.

flappybird_java

A very well known game called flappy bird coded in java.

how-poverty-and-trade-impact-carbon-footprint

A datascience project analysing the effect of poverty and international trade among and within 196 countries on global carbon footprint.

internetwebprogramming-exercises

Lab Exercises done for course CSE-3002 Internet and Web Programming

linkup-social_networking_website

A full stack development of this a social networking website using HTML, CSS, JS, AJAX, PHP and MYSQL; and consists several user functionalities

machinelearning

A repo for all the relevant code notebooks and datasets used in my Machine Learning tutorial videos on YouTube

machinelearning_algorithms

major_diseases_predictor-ml-project

Using machine learning models to predict various major diseases and deploying in Streamlit.

movie-recommender-on-streamlit

myliemudaliyar

netflix-data-analysis

responsive-foodordering-website

Responsive food website made using html, css and javascript.

restaurant-recommendation-system-adsproject

This is a Restaurant Recommendation System made as a part of SmartIntenz Externship Program. This project involves tf-idf matrix for recommendation and is deployed using flask.

sde_salarypredictor2022

Machine Learning Model to predict Salary of Software Developers and deployed in Streamlit. The model was trained on a real time dataset of 2022 published by Stack Overflow Survey with over 73k entries..

simple-bank-application-in-java

A basic bank/atm system using java core and oops concepts (inheritance,polymorphism,etc) wherein one can check balance , withdraw and deposit money.

smallprojects-using-html-css-js

Small Projects using html, css and javascript.

socialmedia-comments-management

A methodology integrating web scraping and K-means clustering to systematically categorize and prioritize responses. Custom web scrapers extract com-ments from YouTube videos, overcoming limitations of traditional screen scraping. Sentiment analysis using TextBlob and HuggingFace provides in-sight into overall video sentiment.

tedx-talk-recommendor

This project employs ML algorithms and NLP techniques, including TF-IDF vectorization, to build a TED Talk recommender. By analyzing talk metadata and computing cosine similarity, it offers personalized recommendations, enhancing user engagement with TEDx content.