About

I'm Lillian Elek — 🚀 Data Analyst | Data Engineer | Data Science

I am a Data Professional with a Master's in Business Intelligence & Data Analytics and 5+ years of hands-on experience in data analytics, engineering and data science. My background gives me the ability to build production-ready systems that scale.

I've spent years mastering SQL, Python, Power BI, and Azure, building automated pipelines, optimizing databases, and creating dashboards that drive real business decisions. Now, I'm applying that engineering rigor to machine learning, statistical modeling, and predictive analytics.

What sets me apart is my end-to-end perspective. I don't just build models, I understand the entire data lifecycle. I know how to extract and transform messy real-world data, engineer meaningful features, validate model assumptions, and deploy solutions that stakeholders actually use. My work spans regression analysis, hypothesis testing, time series forecasting, and algorithm development.

I'm drawn to problems where data reveals hidden patterns and strategic insights—whether that's predicting operational outcomes, uncovering anomalies, or testing hypotheses that drive decision-making. My experience in clean-energy and SaaS environments has taught me to balance technical sophistication with practical business impact.

Skills

• Python (pandas, scikit-learn, statsmodels, matplotlib, seaborn)
• Statistical Modeling (regression, classification, hypothesis testing)
• SQL (T-SQL, window functions, CTEs, performance optimization)
• Machine Learning (neural networks, supervised learning, model validation, feature engineering)
• Power BI (DAX, Power Query, interactive dashboards)
• Azure Data Factory & Pipelines (ETL/ELT)
• Data storytelling & stakeholder communication
• Data Modeling in Snowflake and MSSQL