I'm Lana — a data enthusiast transitioning from finance into data analytics and data science.

• 💼 With 15+ years in finance and business operations, I bring strong analytical thinking and data-driven decision-making.
• 📊 Currently mastering R, Python, SQL, and Power BI as part of my data analytics journey.
• 📚 Pursuing a Master’s in Data Science to deepen my expertise in machine learning, statistics, and modern analytics.
• 🔍 Passionate about uncovering insights that support smarter business strategy and operational efficiency.
• 🌱 Continuously learning — from data wrangling and visualization to predictive modeling and NLP.
• 🤝 Open to collaborating on data projects and connecting with others in analytics or tech.
• 💬 Ask me about finance analytics, Excel automation, or turning messy data into actionable insights!

📫 How to reach me: LinkedIn

• Employment Trend Analysis: Is AI Taking Our Jobs or Transforming Them?
  A milestone-based data science project using BLS, O*NET, and public labor datasets to explore how automation and AI impact U.S. occupations and required skills. Includes Python analysis, visualization, and Power BI dashboards.

• US Baby Names Exploration (1880–2019)
  A 140-year analysis of naming patterns, cultural shifts, and generational trends using the SSA dataset. Features data cleaning, Matplotlib visualizations, and exploratory analysis.

• MAP Student Math Misunderstandings (Kaggle NLP Project)
  NLP + Machine Learning project identifying student math misconceptions using open-ended responses. Includes TF-IDF, embeddings, logistic regression, deep learning baselines, and full model evaluation.