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yasaswijerathne/README.md
# H.M. Yasas Wijerathne

Data Analyst · Operations Research · Statistics

Undergraduate @ University of Peradeniya, Sri Lanka

LinkedIn Email


About Me

yasas = {
    "degree"    : "B.Sc. (Hons) Statistics & Operations Research",
    "university": "University of Peradeniya 🇱🇰",
    "focus"     : ["Data Analytics", "Forecasting", "Optimization"],
    "tools"     : ["Python", "R", "SQL", "Power BI", "Excel"],
    "goal"      : "Turning raw data into decisions that matter",
    "open_to"   : "Internships · Collaborations · Data Projects"
}

I'm a statistics undergrad who lives at the intersection of math, data, and real-world problem solving. I build end-to-end analytics pipelines, optimize business processes with Operations Research techniques, and turn messy datasets into clear, actionable insights.


Tech Stack

Languages & Analysis

Python R SQL

Visualization & BI

Power BI Excel Matplotlib Seaborn

Libraries & Frameworks

Pandas NumPy scikit-learn

Tools

Jupyter Git GitHub Google Colab


Featured Projects

🌏 Sri Lanka Tourism Analytics & Forecasting

Python Power BI Prophet EDA

End-to-end tourism analytics system for Sri Lanka — from raw data to forecasted insights.

  • Cleaned and explored multi-year tourism datasets; identified key seasonal and regional patterns
  • Built interactive Power BI dashboards with DAX-driven KPIs for trend monitoring
  • Deployed a Facebook Prophet time-series model to forecast tourist arrivals

🍃 Profit Maximization in Tea Production

Linear Programming Operations Research Excel Solver

Applied LP optimization to a real-world tea production planning problem.

  • Formulated multi-constraint LP models for production and resource allocation
  • Identified optimal production mix to maximize profit under land, labor, and cost constraints
  • Demonstrated measurable improvement in decision quality vs. heuristic approaches

🏦 Customer Churn Analysis

R PCA Factor Analysis LDA

Dimensionality reduction and classification on banking customer data.

  • Applied PCA and Factor Analysis to reduce a high-dimensional feature space
  • Used LDA to classify churners vs. retained customers with interpretable discriminant functions
  • Surfaced key behavioral drivers of churn for strategic targeting

🏨 Hotel Management & Forecasting System (In Progress)

Android OCR Forecasting Business Intelligence

Full-stack Android application integrating analytics and automation for hotel operations.

  • Building OCR pipeline for automated document digitization
  • Integrating forecasting module for occupancy and revenue prediction
  • Embedding currency conversion and BI dashboards within the app

Certifications

Certificate Provider
Microsoft Power BI Data Analyst Coursera
Google Data Analysis with Python Coursera
Data Analysis with R Programming Coursera
Excel for Data Analysis Coursera

Areas of Interest

📈 Forecasting & Time Series        🔢 Operations Research & Optimization
📊 Data Analytics & Visualization   🤖 Machine Learning & Classification

"Data is the new oil — I'm here to refine it."

📬 hmyasaswijerathne@gmail.com · 📞 +94 71 905 8762 · 🔗 LinkedIn

Open to internships, research collaborations, and data projects.

Popular repositories Loading

  1. yasaswijerathne yasaswijerathne Public

  2. SriLanka-Tourism-Analytics SriLanka-Tourism-Analytics Public

    Tourism analytics and forecasting using Python, Prophet and Power BI.

    Jupyter Notebook

  3. hotel-bi-forecasting-system hotel-bi-forecasting-system Public

    Data-Driven Hotel Management and Forecasting System using PostgreSQL, SQL, Power BI, Python and Data Warehousing.