Turki Alotabi
Data Scientist
Riyadh
Summary
Driven Data Scientist ready to thrive in demanding digital intelligence processing environments. Well-informed on latest machine learning advancements, and ready to combine tireless hunger for new skills with desire to exploit cutting-edge data science technology.
Overview
1
1
year of professional experience
4
4
years of post-secondary education
3
3
Certifications
2
2
Languages
Work History
Teaching Assistant (Artificial Intelligence)
King Abdullah University of Science and Technology (KAUST)
03.2023 - 03.2023
- Supported classroom activities, tutoring, and reviewing work.
- Assisted teachers with classroom management and document coordination to maintain positive learning environment.
- Tutored struggling students individually and in small groups to reinforce learning concepts.
- Partnered with teacher to plan and implement lessons following school's curriculum, goals, and objectives.
AI Developer Intern
HuBot
Riyadh
06.2022 - 10.2022
- Developed ML algorithms to analyze huge volumes of historical data to make predictions.
- Researched and implemented best practices to improve existing machine learning infrastructure.
- Utilized data modeling and evaluation strategies to find patterns and predict unseen instances.
- Conducted statistical analysis and interpreted results to guide organization's decision-making process.
Education
Bachelor of Science - Computer Science
King Saud University
Riyadh, Saudi Arabia 09.2019 - 08.2023
Summer School - Artificial Intelligence
University Of Oxford
Oxford 06.2023 - 08.2023
Skills
Python
undefinedCertification
Natural Language Processing Specialization, Coursera x SDAIA.
Projects
- Massror + (Absherthon) : A project that aimed to equip Massror (Absher's smart assistant) with the latest AI technologies, Such as Whisper and ChatGPT. This Project was selected as a top project among 3600+ projects.
- Portfolio Optimization: This project aimed to optimize investment portfolios by leveraging AI techniques to enhance decision-making processes and maximize returns while minimizing risk.
- Stock Prediction Model: This project involved training the model on historical stock market data to forecast stock prices and trends. I utilized deep learning algorithms, such as Long Short Term Memory (LSTM), and implemented them using Python and libraries such as Keras and scikit-learn.
- Sentiment Analysis For Tweets: The project focused on developing an AI-based model (NLP) to automatically classify text as positive, negative, or neutral, allowing for sentiment analysis at scale.
Timeline
Summer School - Artificial Intelligence
University Of Oxford
06.2023 - 08.2023
Teaching Assistant (Artificial Intelligence)
King Abdullah University of Science and Technology (KAUST)
03.2023 - 03.2023
Advanced AI , KAUST Academy
01-2023
Introduction to AI, KAUST Academy
12-2022
Natural Language Processing Specialization, Coursera x SDAIA.
09-2022
AI Developer Intern
HuBot
06.2022 - 10.2022
Bachelor of Science - Computer Science
King Saud University
09.2019 - 08.2023
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