Hi, I'm CHOU Kosol

Aspiring Data Scientist & Machine Learning Engineer

Data Science student passionate about turning complex data into actionable insights. I specialize in machine learning, time series forecasting, and building data-driven solutions that solve real-world problems.

View My Projects

About Me

Data Science student with a passion for machine learning, statistical analysis, and programming. Focused on building practical solutions that demonstrate technical proficiency and problem-solving abilities.

Data Science student at the Institute of Technology of Cambodia with a strong foundation in machine learning, statistical analysis, and programming. I'm passionate about applying data science techniques to solve complex problems, particularly in areas like predictive modeling, time series analysis, and agricultural technology.

Creator of CropXcel, a full-stack agricultural intelligence platform that uses satellite remote sensing and machine learning to help farmers combat crop waterlogging. My focus is on building practical, scalable solutions that demonstrate both technical proficiency and real-world impact—from processing Sentinel-1 SAR data to deploying production-ready web applications.

Machine Learning Data Analysis Python Programming Statistical Modeling Data Visualization

Machine Learning & AI

Proficient in developing predictive models using scikit-learn, TensorFlow, and statistical methods. Experience with supervised and unsupervised learning, neural networks, and model optimization.

Data Analysis & Visualization

Expert in exploratory data analysis, statistical modeling, and creating compelling visualizations using Python libraries like Pandas, NumPy, Matplotlib, and Seaborn.

Software Development

Strong programming foundation with Python, SQL, and version control. Experience building end-to-end data science projects from data collection to deployment.

Technical Expertise

Comprehensive technical skillset spanning machine learning, data analysis, and statistical modeling with hands-on experience in building practical data science solutions.

Programming & Development

  • Python85%
  • SQL78%
  • R62%

Machine Learning & AI

  • scikit-learn82%
  • TensorFlow69%
  • XGBoost75%

Data Analysis & Visualization

  • Pandas / NumPy91%
  • Matplotlib / Seaborn85%
  • Jupyter / Research87%

Tools & Technologies

  • Git / GitHub84%
  • Statistical Analysis80%
  • Database Management75%
8+Academic Projects
2+Years Learning
15+Technologies Used

Languages & Communication

Khmer (Native) · English (Professional) · French (Conversational)

⭐ FEATURED PROJECT

🌾 CropXcel - Agricultural Intelligence Platform

My flagship full-stack project combining satellite remote sensing, machine learning, and web development to address real-world agricultural challenges and food security.

CropXcel Waterlogging Monitoring System with Sentinel satellite data

CropXcel - Agricultural Intelligence Platform

Full-stack precision agriculture solution leveraging satellite remote sensing and machine learning to combat crop waterlogging—a critical threat affecting millions of hectares globally. This platform processes real-time Sentinel-1 SAR data to provide actionable insights for farmers and agricultural planners, bridging the gap between space technology and sustainable farming.

DjangoPythonSentinel-1 SARMachine LearningPostgreSQLGISRemote SensingLeaflet.js

Key Features & Impact:

  • ✔ Real-time Satellite Analysis: Automated processing of Sentinel-1 SAR imagery with VV/VH polarization analysis
  • ✔ Interactive GIS Dashboard: Web-based mapping with field boundary drawing and multi-layer visualization
  • ✔ Smart Alert System: Automated hotspot identification with risk assessment and recommendations
  • ✔ AI-Powered Recommendations: ML engine for optimal crop suggestions based on soil and terrain data
  • ✔ End-to-End Development: Complete solution from data pipeline to production deployment
  • ✔ Real-World Impact: Helps farmers prevent crop losses and optimize land use for food security
View Source Code Live Demo

More Data Science Projects

Additional projects showcasing machine learning, predictive modeling, and analytical problem-solving skills across various domains.

AAPL Stock Price Prediction using LSTM neural networks with interactive charts

Deep Learning Financial Forecasting

Sophisticated LSTM neural network system for stock price prediction, demonstrating advanced deep learning techniques for financial time series analysis and market insights.

TensorFlowLSTMDeep LearningFinancial Analytics
  • Achieved RMSE < 2.5 on stock price predictions
  • Built interactive visualization dashboard
  • Implemented advanced feature engineering techniques
Code Demo
Traffic Prediction Dashboard showing time series analysis and ARIMA model results

Urban Traffic Flow Prediction

Advanced time series forecasting system using ARIMA models and statistical analysis to predict traffic patterns, demonstrating expertise in temporal data analysis and predictive modeling.

PythonARIMATime SeriesPandas
  • Achieved >85% prediction accuracy using ARIMA modeling
  • Implemented comprehensive data preprocessing pipeline
  • Built interactive dashboard for traffic visualization
Code Demo
AAPL Stock Price Prediction using LSTM and GRU neural networks

AAPL Stock Price Prediction with Deep Learning

Comprehensive time series analysis and forecasting system using LSTM and GRU neural networks to predict Apple stock prices. Built with extensive data visualization and comparative model evaluation using 10+ years of historical data (2015-2025).

TensorFlowLSTMGRUTime SeriesPython
  • Achieved 92%+ R² score with RMSE of 6.46 (LSTM) and 6.60 (GRU)
  • Implemented 7-day ahead forecasting with comparative model analysis
  • Built comprehensive EDA with 15+ visualizations and feature engineering
Code Notebook

Education & Academic Projects

Strong academic foundation in data science combined with hands-on project experience. Demonstrated ability to apply theoretical knowledge to solve practical problems through diverse programming and analytics projects.

Institute of Technology of Cambodia (ITC)

B.Sc. Data Science
2022 – Present
Phnom Penh, KH

Pursuing Bachelor of Science in Data Science with focus on machine learning, statistical analysis, and programming. Strong academic performance with hands-on experience in data analytics, predictive modeling, and software development.

Key Academic Projects & Achievements
  • Developed traffic prediction models using ARIMA and neural networks achieving >85% forecasting accuracy for urban planning applications.
  • Implemented stock price prediction system using LSTM/GRU networks with comprehensive technical analysis and risk assessment components.
  • Created classification systems with high accuracy using machine learning algorithms and advanced feature engineering techniques.
  • Built time series forecasting models with ensemble methods, improving prediction accuracy by 35% through innovative data integration approaches.
Machine LearningPythonStatistical AnalysisData Visualization

Professional Development & Online Learning

Continuous Learning Journey
2023 – Present
Remote

Proactive self-directed learning through certified online courses and tutorials. Focused on practical skills development in data science, machine learning, and technical documentation.

Udemy Certifications
  • LaTeX For Everyone and Everything - Completed May 2025 View Certificate
  • Python for Data Science and Machine Learning Bootcamp (In Progress)
  • Time Series Forecasting with Python (Planned)
YouTube Learning & Tutorials
Certified LearningUdemyYouTubeLaTeXSelf-Directed

Let's Connect

I'm actively seeking opportunities in data science, machine learning engineering, and analytics roles. Let's discuss how my technical skills and passion for data-driven solutions can contribute to your team.

Location
#144, St 186, Phnom Penh

Career Interests

I'm passionate about data science and looking for opportunities to grow and contribute in the field.

  • ✔ Data Science internships and entry-level positions
  • ✔ Machine Learning engineering opportunities
  • ✔ Analytics and business intelligence roles
  • ✔ Collaborative projects and learning experiences