Skills
Data & Machine Learning: SQL, ETL, data modeling, ERD design, CSV/JSON, EDA, Azure Data Lake Storage (ADLS), Azure Databricks (PySpark), machine learning (KNN, regression, feature scaling)
Programming: Python (Pandas, NumPy, OOP), C/C++, Flask, REST APIs, Linux
Tools: Git, Power BI, Excel
About
I am an aspiring data scientist, data analyst, and data engineer with a strong foundation in SQL, Python, data modeling, ETL pipelines, and cloud-based analytics tools. I enjoy transforming raw data into reliable, structured datasets that support reporting, automation, and decision‑making. My experience with Power BI, Databricks, Pandas/NumPy, and data validation has prepared me to build scalable data solutions and contribute to analytics engineering workflows. I’m motivated by solving complex problems, improving data quality, and growing into roles that involve pipeline development, semantic layer design, and analytics engineering.
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