Passionate and Motivated Data Analyst with a strong drive for problem-solving in a fast-paced environments. Being an analytical individual, I achieve my goals and make data-driven decisions by leveraging technical skills such as Python, SQL, programming languages and BI tools to drive impactful business outcomes. Loves challenges and learning.
Key Achievements:
Key Achievements:
Toronto Crime Analysis | Python, Jupyter Notebook, PostgreSQL, API, Flask, HTML, JS
• Built an interactive dashboard that displays charts, graphs and maps that examines different categories of crime for 158 neighborhoods in Toronto. The goal for the project is to help users visualize crime trends in their area.
• Capitalize available data and clean it using Python (Jupyter Notebook), load the data into a Database (PostgreSQL), connect to API using Flask, and create different visualizations by leveraging leaflet.js, plotly.js, D3.js and added Select2.
Crowdfunding_ETL | ETL pipeline, Python dictionaries, pgAdmin, PostgreSQL(GitHub)
• Building an ETL pipeline using Pythons, Pandas and different Python libraries and regular expressions to extract and transform the data into CSV files and create ERD Diagram and table schema and uploaded CSV file data into a PostgreSQL.
• Leveraged Pandas, NumPy, json libraries and created Data Frame by exporting and transforming excel data with different types of data frames, utilized ERD to sketch the diagram and table schema to load the data in Database.