About

I am a Data Science, BI & Analytics Professional with over 3 years of experience in implementing data driven solutions; with expertise and experience in Data Warehousing, ETL/ELT Methodologies, Dimensional & Semantic Data Modeling, and authoring interactive Reports & Dashboards. I am highly proficient in

• BI/Data Engineering: implementing and managing ETL/ELT Pipelines (SSIS, Azure Data Factory), Data Warehousing (SQL Server, MySQL, Azure SQL Data Warehouse, Snowflake - with SQL/T-SQL Stored Procedures, Tables, Views, and DBT transforms), Semantic Modeling (SSAS Tabular, Power Query & Power Pivot), and creating & managing Reports/Dashboards (Power BI, Tableau). Bulk of my work experience is in this subject area.

• Data Profiling, Data Wrangling & Data Analysis: using SQL, Excel, Python, PySpark, Pandas, Numpy, Matplotlib, Seaborn, Scikit Learn, NLTK etc.

• Predictive Modeling, Machine Learning: implementing models using ML/Deep Learning Frameworks like Scikit-Learn, Tensorflow & Keras. .

I have been working on machine learning and data analysis problems for over 3.5 years now, progressively building expertise in the aforementioned tools and methods through online courses, hobby projects, graduate coursework and solving real-world problems in my work experience. I have a growth mindset and I am committed to life-long learning.

Beyond my academic and professional interests, I love reading books on science, statistics, literature, economics, philosophy and poetry, as well as writing about these topics (with over 40 articles and answers on platforms like LinkedIn & Quora). I love dark comedies and late 70’s - early 80’s classic rock music.