Hamzah Al Jabari

Curious explorer of intricate datasets, adept at distilling valuable insights using ML and DL algorithms.
Dedicated to fueling business success through Python proficiency, transforming data into decisive strategies.
Eager to channel expertise into impactful projects spanning sales, healthcare, and insurance domains. Vision: To
pioneer innovative data solutions, tackling real-world challenges and propelling positive transformation.
Collaboration catalyst, excited to connect with fellow professionals for mutual growth in the dynamic data
universe.

Orange Jordan
Amman, Jordan
Intern Data Scientist
May 2023 – Jul 2023
• Acquired comprehensive training in data science encompassing Statistical analysis, Data visualization, Machine
Learning (ML), Natural Language Processing (NLP), recommendation systems, and big data technologies.
• Employed advanced data analysis and feature engineering methods to extract valuable insights from a
supermarket’s weekly sales dataset.
• Formulated and executed innovative machine learning models (XGBoost, Random Forest, CatBoost) to predict
supermarket weekly sales, achieving consistent accuracy levels of 95% and above.
• Developed a user-friendly Streamlit program/web page for sales forecasting (Weekly, Monthly, Yearly)
DESAISIV
Amman, Jordan
Intern Data Scientist
Aug 2022 – Apr 2023
• Utilized Python and Power BI to analyze 20 years’ worth of hospital data, unearthing valuable insights regarding
departmental operations.
• Devised a predictive model to anticipate medical resource consumption, leading to a reduction in expirable medical
inventory within warehouses.
• Constructed a precise predictive model for insurance claims data, accurately forecasting premiums for diverse age
bands of subscribers.
• Implemented a comprehensive fraud detection algorithm by merging Machine Learning (ML) and Deep Learning
(DL) techniques, effectively identifying impending fraud and policy misuse by policyholders.
• Reduced insurance loss-ratio by accurately predicting developing diseases using unsupervised learning.
Istanbul Bilgi University
Istanbul, Turkey
Student Research Assistant
Jun 2021 – Jan 2022
• Enhanced potential fields path planning for autonomous mobile robot with real-time LIDAR-based obstacle
avoidance.
• Proposed and validated novel algorithms, optimizing autonomy and obstacle avoidance.
• Published paper showcasing expertise in optimizing cost functions and advanced path planning techniques

Istanbul Bilgi University
Istanbul, Turkey
B.Sc. in Mechatronics Engineering; GPA: 3.04/4.00
Sep 2017 – Jul 2021