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๐Ÿ™
Hard work... God first
๐Ÿ™
Hard work... God first
  • Freelancer
  • Philippines
  • 11:06 (UTC +08:00)
  • LinkedIn in/mrjxtr

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@mrjx-dev

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mrjxtr/README.md

Hi there, I'm Jester Lumacad! (@mrjxtr | Mr J) ๐Ÿ‘‹๐Ÿผ Welcome to my GitHub portfolio!

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I'm a versatile freelancer with a background that spans diverse fields including Data Science (AI/ML), Data Analytics, Software Development, Social Media Management, Music Production, and Video Editing.

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โš’ Recent Projects & Progress

๐Ÿค– Mr-Myter (Automated Mass YouTube Uploader) ๐Ÿ“Š Data Extractor with LLM Parsing ๐Ÿ”ฎ Machine Learning Forecasting Model ๐Ÿ“Š Data Cleaning, Processing, Analysis, and Visualization ๐ŸŒฑ Currently Learning ๐Ÿ‘จ๐Ÿผโ€๐Ÿ’ป Currently Working On
๐Ÿ‘€ show summary Developed an automated Python tool for bulk YouTube uploads. Designed to save time by automating video and thumbnail uploads, It uses Selenium WebDriver to simulate actions in YouTube Studio, streamlining the upload process for content creators.
๐Ÿ‘€ show summary Developed an automated Python tool for bulk YouTube uploads. Designed to save time by automating video and thumbnail uploads, It uses Selenium WebDriver to simulate actions in YouTube Studio, streamlining the upload process for content creators.
๐Ÿ‘€ show summary Built a time series forecasting model using Scikit-learn's RandomForestRegressor using GridSearchCV to calibrate hyperparameters and mean_squared_error and r2_score for metrics to predict sales trends for a retail dataset.
๐Ÿ‘€ show summary Developed Python scripts using Pandas for cleaning and analyzing complex sales data, improving data accuracy by up to 100%. Additionally, created dynamic, interactive dashboards using Tableau, Matplotlib, and Seaborn to effectively communicate data-driven insights.
๐Ÿ‘€ view topics - ๐Ÿง  Data Science, AI, & Development: Building expertise in AI engineering, machine learning algorithms, data modeling, and statistical analysis to develop software solutions that solve real-world problems and enable data-driven decision-making, while also learning R.
๐Ÿ‘€ view ongoing projects - ๐Ÿค– Mr-Myter (Mass YouTube Uploader): Creating a bot that will automatically upload YouTube Videos in bulk.
- ๐Ÿง  LLM Report Generator: Creating a digital product powered by LLMs to generate comprehensive reports based on input data

๐Ÿ”ง Technologies & Tools



Jupyter Tableau Microsoft Excel Google Sheets

๐Ÿ‘จ๐Ÿผโ€๐Ÿ’ป Programming Languages ๐Ÿ“Š Data Visualization ๐Ÿ“น Video Editing ๐ŸŽต Music Production and Editing ๐Ÿ–ผ Graphic Design โบ Recording and Streaming
Python - SQL - HTML - CSS - JavaScript Tableau - Matplotlib - Seaborn Adobe Premiere Pro - Capcut FL Studio - Audacity Adobe Photoshop - Canva OBS
๐Ÿ› ๏ธ Other Technologies & Tools ๐Ÿ“š Python Libraries (Used & Learning) ๐Ÿ“š Web Frameworks(Learning)
- DBeaver - WSL
- Notion - Slack
- TradingView
Pandas - NumPy - SciPy - Statsmodels
- Matplotlib - Seaborn - Plotly
- TensorFlow - PyTorch - Scikit-Learn
- BeautifulSoup - Selenium
- Flask
- FastAPI
- Django

๐Ÿ“Š Stats


๐Ÿ“œ Certifications

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  1. Data_Extractor_LLM_Parser_Project Data_Extractor_LLM_Parser_Project Public

    Python tool for scraping clinical trial data, processing it with an LLM via OpenRouter API, and exporting the results to CSV.

    Python 1

  2. Bike_Rental_Forecasting_Model Bike_Rental_Forecasting_Model Public

    (ONGOING PROJECT) A predictive model for forecasting daily bike rental demand. This project aims to optimize inventory and staffing for better operational efficiency.

    Jupyter Notebook 1

  3. mrjx-dev/mr-myter mrjx-dev/mr-myter Public

    Mr-Myter (Mass YouTube Uploader) is an automated tool for bulk video uploads to YouTube.

    Python 1

  4. Tokyo_AirBnb_Analysis_Project Tokyo_AirBnb_Analysis_Project Public

    Full project case study and analysis to show potential opportunities to start an AirBnb business in Tokyo, Japan.

    Jupyter Notebook 2 1

  5. Coffee_Sales_Analysis Coffee_Sales_Analysis Public

    Full data analytics process from data gathering, data processing, data visualization and reporting on a small coffee shop sales data.

    Jupyter Notebook 1