Personal Projects

This repository contains personal projects I did in my free time and during my CS master's degree.

• Kaggle Store Sales - Time Series Forecasting Competition (12/2023)

  • Description

    The challenge revolved around forecasting store sales on data from Corporación Favorita, a large Ecuadorian-based grocery retailer.

• Kaggle Natural Language Processing with Disaster Tweets Competition (11/2023)

  • Description

    The challenge revolved around constructing a machine learning model adept at distinguishing genuine disaster-related tweets from others.

• Kaggle Digit Recognizer Competition (10/2023)

  • Description

    The challenge entailed the accurate identification of digits from a dataset comprising tens of thousands of handwritten images.

• Kaggle Forecasting Mini-Course Sales Competition (07/2023)

  • Description

    This competition involved forecasting sales with synthetically generated time series datasets.

• Kaggle ConnectX RL Competition (07/2023)

  • Description

    The ConnectX competition involves training an AI agent to play Connect4, and contestants are required to submit their agent in a Python file for evaluation on the leaderboard.

• Exploratory data analysis on Kaggle Datasets (07/2023)

  • Description

    This folder contains notebooks I created for exploratory data analysis and visualization of interesting datasets obtained from Kaggle.

• Kaggle Titanic ML Competition (06/2023)

  • Description

    Titanic competition is about developing a machine learning model that makes binary classifications from tabular data of Titanic's passengers.

• AI_flappybird_player_Deep_Reinforcement_Learning (04/2023)

  • Description

    The project involved training an AI agent who plays the Flappy Bird game using deep reinforcement learning.

• Building an Interactive dashboard with Vega-Lite to visualize nuclear explosions worldwide (04/2023)

  • Description

    I created an interactive dashboard using Vega-Lite to visualize nuclear explosions worldwide.

• Deep Learning: Building CNN to recognize monkey species from disparate images (03/2023)

  • Description

    The project involved building a deep convolutional neural network model to recognize monkey species from disparate images.

• Building Gradient Boosting Regressor from Scratch with Python (03/2023)

  • Description

    The project involved creating a gradient-boosting regressor for continuous prediction problems by inheriting from appropriate scikit-learn base classes.

• A small study to assess word frequencies across data analytics job ads (12/2022)

  • Description

    Data mining and text analysis for gaining insight into the common traits employers currently look for in data analytics roles.

• Building Multi-Layer Neural Network from Scratch with Python (12/2022)

  • Description

    I implemented a Multi-Layer Neural Network from Scratch with Python without using any ML library.

• Analysing Books with Hadoop & Data Exploration with PySpark (12/2022)

  • Description

    This is a combination of two projects for using big data management tools, Hadoop and Spark.

• Building Time-Related Feature Engineering Pipelines with Python (11/2022)

  • Description

    I built Time-Related Feature Engineering Pipelines and developed a machine learning model with Python to predict traffic volumes.

• Designing a Data Warehouse & Association Rule Mining using SQL and Python (10/2022)

  • Description

    This folder contains studies for practicing Data Warehousing and association rule mining.

• Implementing a small Database Management System with Bash (11/2021)

  • Description

    I implemented a small database management system in Bash.

• My CodeWars Solutions (on-going)

  • Description

    This folder contains my solutions for coding challenges.