A comprehensive showcase of data analytics, development projects, and technical case studies.
Current status: still on progress; and primary focus on machine learning projects!

Welcome to my professional portfolio repository! This collection showcases my journey through data analytics, machine learning, bioinformatics, and geospatial analysis. Each project demonstrates practical applications of data science, computational biology, spatial analysis, and creative solutions to real-world challenges.

What you'll find here:

• Data analytics projects with end-to-end pipelines
• Machine learning models and implementations
• Bioinformatics analysis and computational biology projects
• SQL query optimization and database design
• Interactive web applications and data visualizations
• Geospatial analysis and mapping projects
• Point cloud processing and 3D visualizations with Blender
• Interactive Streamlit applications
• Case studies with business insights
• Technical documentation and methodologies

Portfolio-Guide/
├── data-analytics/              # Data analysis projects
├── machine-learning/            # ML models and experiments
├── bioinformatics/              # Bioinformatics projects and analysis
├── databases/                   # Database projects and SQL work
├── web-applications/            # Interactive web apps
├── python-projects/             # Python scripts and applications
├── 3d-visualization/            # Point cloud and 3D data
├── case-studies/                # Business case studies
├── collaborations/              # Joint projects with friends and peers
├── tools-and-utilities/         # Helper scripts and tools
├── documentation/               # Technical documentation
└── challenges/                  # Coding challenges and exercises

Programming Languages:

• Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, GeoPandas, Folium, Biopython)
• SQL (PostgreSQL, MySQL, BigQuery)
• R (ggplot2, dplyr, Tidyverse, Bioconductor)
• JavaScript / TypeScript
• Python for Blender (bpy)

Data Visualization:

• Tableau / Power BI
• Matplotlib / Seaborn
• Plotly / D3.js
• Streamlit
• Blender (Point Cloud Visualization)

Development Tools:

• Git & GitHub
• Jupyter Notebooks (Local, Deepnote, etc)
• Databricks
• Docker
• VS Code
• PyCharm
• Linux/Unix command line

Cloud Platforms:

• AWS SageMaker
• Google Cloud Platform

Web Development:

• MERN Stack (MongoDB, Express, React, Node.js)
• Next.js
• Flask / FastAPI
• Streamlit

Geospatial & 3D:

• GeoPandas / Shapely
• Folium / Leaflet
• Blender (Point Cloud Processing)
• Open3D

Bioinformatics:

• Biopython
• Bioconductor
• Nextflow (Workflow management)
• Linux/Unix scripting
• Sequence analysis tools
• Genomic data processing

Core Competencies:

• Data Analysis: Exploratory data analysis, statistical modeling, hypothesis testing
• Machine Learning: Predictive modeling, classification, clustering, neural networks
• Bioinformatics: Sequence analysis, genomic data processing, computational biology
• Geospatial Analysis: Spatial data processing, mapping, geographic visualization
• 3D Visualization: Point cloud processing, 3D modeling, Blender scripting
• Business Intelligence: Dashboard creation, KPI tracking, reporting
• Data Visualization: Interactive dashboards, storytelling with data, Streamlit apps

Additional Skills:

• Web application development with MERN stack, Next.js, Flask, and FastAPI
• Database design and SQL query optimization
• ETL pipelines and workflow automation
• RESTful API development

To explore any project:

1. Navigate to the relevant folder
2. Read the project-specific README.md
3. Check requirements.txt or environment.yml for dependencies
4. Follow setup instructions in the documentation

# Clone this repository
git clone https://github.com/lymphoidcell/Portfolio-Guide.git

# Navigate to project directory
cd Portfolio-Guide

# Explore projects
ls -la

Phanie - Full Stack Data and ML Enthusiast

• Email: [email protected]
• LinkedIn: linkedin.com/in/thscho

This repository is available under the MIT License. See LICENSE for more information.

If you find these projects helpful or interesting, please consider giving this repository a star. It helps others discover this work and motivates me to keep creating.