hilalhamdi
About Me
Passionate Data Scientist with expertise in SQL and Python. Skilled in utilizing Google Data Studio for insightful data visualization. Adept at solving complex problems and effectively communicating findings to both technical and non-technical stakeholders. Open to opportunities in the Finance and Retail sectors, leveraging my skills and experience to drive data-backed decision-making.
With a strong focus on credit risk prediction, sentiment analysis, and customer buying behavior, I have successfully developed models to provide valuable insights and optimize business strategies. I have effectively contributed to enhancing risk assessment processes and maximizing profitability.
My dedication to continuous learning and keeping up with industry trends ensures that I stay at the forefront of the evolving data science landscape. I am eager to apply my expertise, collaborate with innovative teams to unlock the potential of data-driven solutions, and contribute to organization’s data-driven success.
Education
Digital Skola
- Learn SQL and python programming. - Demonstrated knowledge of statistical experimentation & machine learning methodologies to build 4 data science portfolios, exemplifying expertise used by top organizations across the industry.
Hasanuddin University
- Visualizing wormhole from shape equation of wormhole. - Find a solution to Einstein effective gravity field equation in braneworld for wormholes supported by phantom energy. - Formulate the energy density, radial pressure, and effective transverse pressure of the phantom energy in the phantom energy braneworld wormhole. - Analyzing the energy-momentum tensor violates the zero-energy condition.
Work & Experience
Junior Data Scientist Intern
Forage
- Extract data on 1000 customer reviews, ratings, and feedback to gauge public sentiment. - Build machine learning model to prediction customer buying behavior.
Project-Based Intern: Data Scientist Virtual Internship Experience id/x Indonesia
id/x partners
- Build an automatic credit card approval predictor using machine learning techniques. - Implemented custom-built Machine Learning models for client projects, resulting in a 10% increase in accuracy and a 5% decrease in error rate. - Complete end-to-end Machine Learning modeling to create data science solutions for clients.
