sofianieva / optimization_course Goto Github PK

Welcome to my GitHub! Over the course of the last few years I've taken many Data Science and Machine Learning courses at different universities and worked on many interesting projects. Here you can find some of them:

• Today's vs. Past Weather App. End-to-end project: Data retrieval from public API's, cleaning and exploration. Design of an interactive visualization with plotly and streamlit. Hosted on AWS, available at http://35.88.156.189:8501/.
• Football Analytics (coming soon). The main ideas are, given the skill attributes of a player, to calculate some summary statistics and suggest which is the best position for that player.

• Course Data Science and Machine Learning in Python, Dortmund University

  • Assignments, which includes a Market Basket Analysis, Fraud Detection in Retail, Ecommerce Company Analysis, among other data wrangling, data cleaning and machine learning projects.

• Diploma in Data Science and Machine Learning, University of Cordoba:

  • Data Analysis and Visualization: Dataset of the salaries of IT workers in Argentina
  • Data Exploration and Cleaning: Dataset on property sales price in Melbourne, Australia
  • Introduction to Machine Learning: Classification task on imbalanced loans dataset
  • Supervised Learning: Classification task on an imbalance dataset - Kaggle
  • Introduction to Graphs and Complex Networks: Analysis of communities in graph of retweets
  • Mentorship project: Demand prediction (+5.5M real sales records)

• MSc in Applied Mathematics, University of Buenos Aires:

  • Master's Thesis: Study of time-frequency representations in the presence of heteroscedastic dependent noise
  • Applied Mathematics Workshop II: Reinforcement Learning
  • Optimization: Gradient descent methods, Touring problem, Simulated Annealing, Stochastic Hill Climbing, Genetic algorithms, implementation of automatic differentiaton in Matlab

📫 How to reach me: Connect with me on LinkedIn