Rane Najera-Wynne

Data Analyst and Engineer with experience using various programming languages to automate and execute ETL and data processes across multiple databases. Skilled in manipulating data, automating/optimizing workflows, and building interactive dashboards for data visualization and data analysis. Collaborative and driven to ensure data is efficiently analyzed, accessible and accurate for teams and clients alike. I am really passionate about automating workflows, and I enjoy improving team efficiency in any way I can. I believe with my diverse background in Science, Construction, and now Data; it gives me a unique point of view when it comes to problem solving. Currently in the Data world I am really excited about improving my workflows with the new python library polars, and using chatGPT to optimize how I solve problems both professionally and independently. Skills: Languages: Python (Numpy, Pandas, boto3, awswrangler, Scikit-learn, PySpark, Polars), SQL, Bash, R Database: Amazon AWS, S3/Athena, Redshift, PostgreSQL, MySQL, EC2 Virtual Server, Git/Github Data Collection: CSV, JSON, Parquet, Pickle, API, Web-Scraping Data Visualization: Tableau, Looker, LookML, Matplotlib, Seaborn, Plotly, Streamlit Machine Learning: Logistic Regression, Random Forest, Natural Language Processing, Decision Trees, A/B Testing, Linear Regression, kNN, Time Series Analysis, K-means Clustering, Classification, Neural Networks ETL: Apache Airflow, Matillion, Managing Data Warehouse, ETL Testing