Data professional with five years of experience in ETL process development using SAS tools. Skilled in designing end-to-end data pipelines, integrating disparate information, and delivering actionable business insights through robust data transformations and visualizations. Brings curiosity, initiative, strong execution capabilities, and excellent interpersonal skills.
ETL and Data Engineering:
Extensive hands-on experience in building SAS-based ETL pipelines, including data cleansing, transformation, and loading processes
Familiar with industry-standard ETL best practices for regulatory compliance and analytical requirements
Big Data & Analytics Tools:
Familiarity with MapReduce and Spark for scalable data processing
Cleaning and analyzing data using KNIME and Power BI
Data visualization and dashboard creation using Tableau and Google Data Studio
Data Science & Machine Learning:
Experience with data mining using NumPy, scikit-learn, and Matplotlib in Python
Applied classification and modeling techniques: Regression, Linear Classification, Support Vector Machines (SVM), K-Nearest Neighbors (KNN)
Exposure to AI-based heuristic and search algorithms, including Alpha-Beta pruning, IDA
Python programming
Business intelligence
undefined