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Jack Tasker

Data Scientist, Data Visualization, Web Scraping
  • Suggested rate
    £250 / day
  • Experience0-2 years
  • Response rate100%
  • Response time1 hour
The project will begin once you accept Jack's quote.
Location and workplace preferences
Location
Brighton, England, United Kingdom
Can work onsite in your office in
  • and around Brighton (up to 50km)
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Jack in a few words
*I don't mind negotiating prices as I could offer you cheaper services in exchange for gaining some experience.*

I am a graduate data scientist with a real passion for maths and stats looking to showcase my skills! I am open to creating machine learning models, dashboards using Dash and even web-scraping. I have a real passion for maths and statistics and don't mind building anything in any of these areas.

I have previous experience building different models including a regression model for house price predictions, facial feature identification and image classification. I have experience in the following models:

✅XGBoost
✅RandomForest
✅Support Vector Machine
✅Linear Regression
✅Neural Networks with TensorFlow and Keras
✅Ensemble Models


In terms of dashboards, I am Python oriented and so it will be built Dash. I have no problem creating multiple tabs or adding extra functions. My goal is to provide a dashboard that does exactly what you want whilst still being as elegant and intuitive as possible! If you prefer Tableau or PowerBi I'm sure my skills will be transferable however it may take longer.

I have experience using both Selenium and BeautifulSoup4 for web-scraping. In terms of Selenium, I use a headless browser to input data into search bars and select dropdowns for me so that I can get the necessary data. With BeautifulSoup4 I have used it to scrape tables from many websites.

I look forward to working with you!
Experience
  • Sandens Consulting
    Graduate Data Science
    DIGITAL & IT
    June 2022 - August 2023 (1 year and 2 months)
    I created an interactive dashboard to help plot tidal flows over time using Python and Dash respectively. The data had to be scraped using BeautifulSoup4 and saved. Machine learning model was used to enhance and predict the tidal changes through seasonality (Neap vs Spring tides)
    Maths Dashboard Data science Machine learning Finance Graphs Statistics web scraping
Recommendations
Education
  • Computer Science and Artificial Intelligence
    University of Sussex
    2022
    Relevant Experience in the Following Modules: -Mathematical Concepts -Computer Vision -Natural Language Engineering -Neural Networks -Machine Learning -SQL Databases University Projects: -Image Classification using Neural Networks -Facial Feature Identification using Computer Vision -Sentiment Analysis of Amazon Reviews and Tweets -Database creation, collation and transformations -Binary Classification on incomplete data (required cleaning/interpolating/imputing etc)