Data Science Manager @ Touchstorm | NY, United States (Remote)

July 2020 - Present

  • Built YouTube Listening Tool which allows brands to see who's talking about them on YouTube and what they're saying. This is done through video reporting, influencer monitoring, sentiment tracking, product success analysis, and comparisons with competitors on all of these aspects.
  • Developed Channel Performance tool which allows brands to track how they are doing on YouTube with tens of insightful visualizations covering every aspect of channel performance.
  • Built a tool to explore the historical trends on YouTube for any topic by analyzing billions of video data records.
  • Built robust data pipelines to sync hundreds of gigabytes of data daily from a MySQL database to a data lake to enable immensely faster processing and analysis of the data. This enabled creating powerful products that make use of years of collected data.

Student Mentor @ Udacity | CA, United States (Remote)

May 2020 - August 2020

February 2020 - August 2020

  • Worked on many projects related to data analysis, natural language processing, data scraping, and automation. I had a 100% Job Success score on the platform and all of my ratings were 5/5.

Data Science Intern @ Boost Connect | Kuala Lumpur, Malaysia

April 2019 - July 2019

  • Performed extensive data analysis on millions of records which uncovered useful business insights. Used Python, SQL, and BigQuery.
  • Created an ETL scheduled script to sync company data from Salesforce to Google BigQuery.
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Master of Data Science @ University of Malaya | Kuala Lumpur, Malaysia

Feb 2018 - Oct 2019

  • GPA:3.98/4 (with distinction)
  • Research project : built and deployed a machine-learning system to predict taxi-trip duration.
  • Relevant courses: Data Analytics, Data Mining, Machine Learning for Data Science, Big Data Application and Analytics.

B.Sc. in Computer Engineering @ Princess Sumaya University for Technology | Amman, Jordan

Sep 2012 - Sep 2016

  • GPA: 93.9% (first rank)
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Analysis of all YouTube trending videos in US for 2019: Got featured on The Hustle newsletter (2M+ readers) as the lead story, TechCrunch, Hacker News' front page, Social Blade, Tubefilter, and others.

Analysis of 40,000+ international football matches between 1872 and 2018

Kaggle competitions: Participated in machine-learning competitions on Kaggle and ranked in the top 5% in one of them.

Clustering the neighborhoods of New York City and Toronto: Clustering was based on the similarity between the venues in the neighborhoods.

Analysis of stock prices in Malaysia: Analyses applied included sentiment analysis, stock-prices correlation, investment recommendation, and clustering.

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Concepts: Data analysis, business intelligence, data visualization & dashboarding, big data management and analysis, end-to-end product development, machine learning, NLP, computer vision, full-stack software developement.

Programming Languages: Python, SQL, JavaScript, R.

Cloud Computing: AWS (Athena, Glue, DMS, Lambda, EC2, QuickSight, etc.), Google Cloud Platform (BigQuery, Natural Language, Vision, Vertex AI, etc.)

Frameworks & Tools: Pandas, Plotly, Dash, Google Data Studio, Redash, Metabase, Streamlit, Jypyter Notebook/Lab, Matplotlib, MySQL, Flask, Django, HTML, CSS, Scikit-learn, TensorFlow, XGBoost, Git, BeautifulSoup, Selenium.

Languages: English: fluent; Arabic: native.

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IBM Data Science Professional Certificate [9 courses] (2019)

Certificate of the completion of SAS Graduate Joint Certificate Program Curriculum in Data Science (2019)

Outstanding student award certificate (2015)

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