Hi there 👋🏽
I'm a Data & Business Intelligence Analyst with with extensive experience in Data Modeling, Warehousing, Manipulation, Visualization, Scripting and Reporting, Business Intelligence, Business Analytics.
TECHNICAL COMPETENCE
- Data Engineering: Data Modeling, Database & Schemas, Data Ingestion/Migration, SQL Performance Tuning, Structured/Semi-structured/Unstructured Data
- RDBMS & Data Querying: PostgreSQL, MySQL, SQL Server, SQLite, IBM DB2, Impala/Hive
- Cloud: AWS, GCP, Microsoft Azure, Snowflake, Databricks
- Programming Languages: Python, SQL
- Data Gathering: Web Scraping (webscraper.io, BeautifulSoup), APIs, CSV, HTML, JSON, SQLAlchemy
- Data Analysis & Visualization Tools: Pandas, Matplotlib, Seaborn, MS Excel/Google Sheets, Tableau, Power BI
- Stats, Modeling & Machine Learning: Numpy, Scipy, Scikit-learn, Statsmodels, Supervised/Unsupervised Learning
- Version Control & Agile: Git, GitHub, Jira, Confluence, Bitbucket
Have a look at my latest data analytics project: Customer Churn Analysis (End-to-End Project using SQL, Python and Tableau) that involved exploratory analysis with SQL, a deep-dive EDA using Python, and building an interactive dashboard with Tableau to present meaningful business insights for the bank. Link to Credit Card Customer Churn Analysis
Got an exciting project and need collaboration? 🚀 Or you want to discuss a Data Analyst opening at your company? 📈
Connect with me on LinkedIn