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Richard Farhat Data AnalystRF

Richard Farhat

Data Analyst
  • Suggested rate
    £207 / day
  • Experience3-7 years
  • Response rate100%
  • Response time1 hour
The project will begin once you accept Richard's quote.
Location and workplace preferences
Location
Dubai City, United Arab Emirates
Can work on-site at your office in
  • and around Dubai City (up to 50km)
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Skill set
Richard in a few words
I am a data-driven analyst specializing in data automation, predictive modeling, and statistical analysis. With expertise in Python, SQL, and advanced data processing techniques, I help businesses streamline workflows, extract insights, and build scalable data solutions. I focus on automating data pipelines, performing exploratory data analysis (EDA), and applying machine learning models for forecasting and decision-making. My work also includes hypothesis testing, experiment design, and statistical validation to optimize business strategies.
Experience
  • BAV Group, VML
    Data Analyst, Data Analytics & Process Optimization
    January 2021 - June 2024 (3 years and 5 months)
    New York, NY, USA
    Pioneered the group's data practice as the first data hire, collaborating across multiple teams to drive internal process optimization, develop automation tools, and implement robust statistical analysis. This cross-functional effort improved data processing speed by 30% and enhanced data accuracy by 10%, directly supporting strategic business outcomes

    Led the end-to-end delivery of 5 data-driven strategy projects, facilitating discussions to translate client requirements into tailored data solutions aligned with business goals, and effectively communicating technical concepts in a clear, strategic manner, which allowed growth in both client satisfaction and retention

    Enhanced team efficiency by decreasing number of hours on data processing by 30% through the creation of 20 automation projects using Python and VBA, optimizing ETL (Extract Transform Load) processes and workflows internally

    Increased prediction accuracy by 15% for key business metrics such as brand advocacy and product usage through the design and deployment of predictive models for classification and regression tasks using Python, leveraging advanced techniques like dimensionality reduction and predictive modeling to align BAV proprietary metrics with clients' critical KPIs
  • Neuroscience Lab
    Research Assistant
    January 2020 - January 2021 (1 year)
    New York, NY, USA
    Led a research to predict respondents' personality based on their eye movement, using my knowledge in coding and Psychology. The analysis required analyzing images and the eye position, latency on specific areas and motion for the different types of images and resulted in my Research paper being certified by NYU

    Conducted the Data Analysis to predict implicit attitude changes from four main sets of variables, including demographics and exposure to media, using logistic and non-linear regression. I was able to reach statistical significance in predicting attitudinal changes following US Supreme Court rulings with an accuracy of 90%
Recommendations
Education
  • Master of Research
    New York University
    2021
    Master's in Research and Experimental Psychology
  • Bachelor of Engineering in Mechanical Engineering
    American University of Beirut
    2017
    Bachelor's of Mechanical Engineering