Kashif Naz

About.

Experienced Finance Professional with IBM Data Science Certificate

I am Kashif Naz, a highly experienced financial professional and an IBM Data Science Certified Professional with an impressive 18-year track record in financial analysis and interpretation, data-driven decision-making, and automation. My passion for data analytics and continuous learning has propelled me to master a diverse set of tools and techniques to stay at the forefront of the field.

My expertise spans a wide array of technical skills, including:
• Programming languages: Python, SQL, Power Query, M Language
• Web Scraping: BeautifulSoup, Selenium, Requests, Scrapy, Selectolax, Playwright, Splash
• Web Scraping Framework: Synchronous (Requests) and Asynchronous (AIOhttp, httpx, AIOLimiter)
• Headless browsing for JavaScript sites (Selenium, Playwright, and Splash)
• APIs - JSON, XML data extraction
• SQL Alchemy - Database integration and ORM data modeling with Python
• Data Visualization: Power BI, Matplotlib, Seaborn, Plotly, Bokeh, Altair, hvPlot
• Dashboarding with Python: Streamlit
• ETL: SQL (MSSQL, PostgreSQL, MySQL, SQLite), NoSQL (MongoDB), Pandas, data pipelines
• Machine Learning: Regression, Classification and clustering models
• Big data analysis: Dask, Vaex, datatable (Python), Modin, cuDF
• Statistical Analysis: Statsmodels, SciPy, and scikit-learn

Programming and ERP Implementation Experience:
• Developed and implemented an automated sales tax reporting system using Pandas and PyQt5.
• Made a Web Scraping script for the ACCA job board with BeautifulSoup and Requests
• Developed intuitive Power BI dashboards leveraging Oracle SQL queries.
• Collaborated with the IT team on DataMart to translate logic into SQL for gathering data from core banking and other systems for IFRS-9 project.
• Collaborated with cross-functional teams to plan and execute the upgrade of Oracle 11i to R12, ensuring a smooth transition and addressing any issues that arose during the process.
• Developed a comprehensive annual budget, standardizing templates, and implementing automation in spreadsheets, resulting in a 15% faster close and saving 48 man-hours of data consolidation.
• Managed development and deployed a customized ERP system, reducing monthly reporting time by 60% and decreasing manual record keeping by 90%.

Teaching Experience:
• Teaching Python, SQL, and Power Query at Kaizen Analytics since July 2021.
• Trained team members and colleagues in Excel Advanced and Power Query.

Expertise.

Areas of expertise for which I can be contacted.

Reviews.

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