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Data Analyst | BI Developer (PL-300) | End-to-End Power BI | SQL, Python, Machine Learning, Data Engineering (Growing)

As a Microsoft Certified Power BI Data Analyst (PL-300), I specialize in designing and delivering end-to-end BI solutions, transforming raw, fragmented data into structured, decision-ready insights using Power BI, SQL, and Excel.

With 9+ years of experience in FMCG (food), warehousing, and logistics, I bring strong domain knowledge in operations, compliance (ISO 9001/ FSSC 22000), and performance management. This enables me to go beyond dashboards and focus on what actually drives business outcomesβ€”KPI visibility, trend analysis, risk identification, and actionable insights.

My work focuses on building complete Power BI ecosystems, including:

  • Data source standardization and validation
  • ETL using Power Query (M)
  • Scalable data modeling and optimized DAX
  • Business-aligned dashboard design
  • Deployment, governance, and automated refresh via Power BI Service

Alongside BI, I am expanding into data engineering, building automated data pipelines using Python and PostgreSQL, and exploring data-warehousing, cloud-based architectures to support scalable, production-ready analytics systems.

I combine operational experience + analytics capability + systems thinking, with a focus on building solutions that move organizations from manual reporting to scalable, insight-driven decision environments.


🌐 Find me on:

LinkedIn TikTok YouTube email


πŸ’» My work is flavoured with:

Excel Power Bi VS Code Postgres SQLite DBeaver Python Jupyter Anaconda Pandas NumPy Matplotlib Seaborn Imbalanced Learn scikit-learn TensorFlow spaCy PyTorch PIL Langchain ChromaDB Hugging Face Streamlit Adobe Photoshop Git GitHub Ollama DeepSeek-R1:1.5B

πŸŽ―β†’πŸ“šβ†’πŸŽ“β†’βœ… Learning Pipeline:

Docker Docker Compose Apache Airflow Linux DevOps AWS Snowflake Databricks Looker Studio Tableau Lovable n8n REST API FastAPI

πŸ“Š GitHub Stats:


πŸ† GitHub Trophies

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Thilina Perera/ Data with TP

πŸ“Œ Data Science | Data Engineering | Data Analytics D-Technosavant
πŸ“Œ Machine Learning, Deep Learning, LLM/LMM, NLP, and Automated Data Pipelines Inquisitive

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  1. Data_Analytics_Projects_WIAP_Warehouse_Intelligence_-_Analytics_Pipeline Data_Analytics_Projects_WIAP_Warehouse_Intelligence_-_Analytics_Pipeline Public

    WIAP is a full-stack data engineering + analytics + warehouse operations intelligence platform designed to simulate and analyze real FMCG/3PL warehouse environments, using Python, psycopg2, SQLAlch…

    Python

  2. SQL_Projects_Sales_Analysis_of_e-Commerce_Company SQL_Projects_Sales_Analysis_of_e-Commerce_Company Public

    Analysis of customer behavior, retention, and lifetime value for an e-commerce company to improve customer retention and maximize revenue, using SQL/ PostgreSQL, DBeaver, VSCode, Power BI, Git & Gi…

  3. ML_Projects_ChatBot_for_Infotech_College ML_Projects_ChatBot_for_Infotech_College Public

    A Retrieval-Augmented Generation (RAG) powered chatbot built for Infotech College, enabling students and visitors to ask questions about courses, admissions, campus life, and more. This project sho…

    Python

  4. ML_Projects_Spam_Email_Classifier ML_Projects_Spam_Email_Classifier Public

    A robust Spam Email Classification System that leverages NLP/ NLU and Machine Learning techniques to distinguish spam from legitimate emails. This project meticulously explores two data balancing s…

    Jupyter Notebook

  5. SQL_Project_Data_Job_Analysis SQL_Project_Data_Job_Analysis Public

    SQL project fueled by PostgreSQL + VSCode + Power BI

  6. Reinventing_Warehousing_-_Logistics_AI_ML_DL_-_Automation Reinventing_Warehousing_-_Logistics_AI_ML_DL_-_Automation Public

    Analyzing the impact of Artificial Intelligence, Machine Learning, Deep Learning, and Automation on warehousing and logistics