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Claire M - Pandas developerLD Talent logo

Claire M

The star rating is calculated by averaging the reviews provided by all clients the talent has worked with for a significant amount of time.

If such data is not available, the star rating is calculated from the fraction of work sessions approved by their past clients versus the total tracked by the talent.

If such data is not available, the star rating defaults to the interview rating of the talent at the time of the vetting process.

Other data including reviews from interviews are available on the talents’ profiles.
Software Engineer Preferred Title
$15.00 /hr $ 20.0K /yr Hourly Rate and Yearly Salary
Overview Vetting Experiences Qualifications
Overview
Basic Summary
LD Talent History
  • Average Response Time 12.0 hours
  • Average Count of Messages/Day 0.2
  • Project Completion Rate 2/4
  • Interview Acceptance Rate 4/6
  • Timezone Overlap 10h PST, 35h UTC
Vetting Summary
  • Code Quality 60%
  • Soft Skill Attributes 60%
  • Expertise 2/3
  • Coding Challenges 60%
  • No. of Lifelong Learning Projects 2
  • No. of Coding Challenges Completed 2
  • More details
Interview Scores (3.7/5)
  • Software Engineering Process 4.0/5
  • Technical Breadth 3.0/5
  • Algorithmic Thinking 3.0/5
  • Technical Strength 3.0/5
  • Teamwork 4.0/5
  • Intellectual Merit 4.0/5
  • English Communication 5.0/5
Talent's Devices
  • Desktop Mac
  • Phone Android
General
  • Member Since Aug 23, 2021
  • Profile Last Updated Aug 13, 2021
  • Last Activity Aug. 8, 2022, 8 a.m. UTC
  • Location Kenya
Profile Summary
I am an individual who is committed to learning, brilliance, ethics, and people. I am also very interested in technology innovation advancements and have a great passion for community service.
Skills
Total Experience: 1 years
  • Pandas (1E, < 1Y)

    1 experience, less than a year
  • Numpy (1E, < 1Y)

    1 experience, less than a year
  • Data visualization (1E, < 1Y)

    1 experience, less than a year
  • Data mining (1E, < 1Y)

    1 experience, less than a year
  • Data Science (1E, < 1Y)

    1 experience, less than a year
  • HTML (1E, < 1Y)

    1 experience, less than a year
  • JavaScript (1E, < 1Y)

    1 experience, less than a year
  • CSS (1E, < 1Y)

    1 experience, less than a year
  • Machine learning (1E, < 1Y)

    1 experience, less than a year
Weekly Availability
Timezone Overlap with 06 - 21 per Week: 10h PST, 35h UTC
Day
Monday
Tuesday
Wednesday
Thursday
Friday
UTC
08 - 15
08 - 15
08 - 15
08 - 15
08 - 15
PST
01 - 08
01 - 08
01 - 08
01 - 08
01 - 08
Vetting
  • Interview Data
  • Agile Development Process
  • Productivity and Responsiveness
  • Teamwork
  • Software Engineering
  • Logical Thinking
  • Technical Strength
  • Intellectual Merit
  • English Communication
  • Documentation
  • System Design
  • Coding Challenges
    60%
  • Algorithms Score
    60%
  • General Score
    60%
  • Easy Algorithm
  • Correctness
    60%
  • Performance
    60%
  • Medium Algorithm
  • Correctness
    60%
  • Performance
    60%
  • Hard Algorithm
  • Correctness
    60%
  • Performance
    60%
  • Expertise
    2/3
  • Design Patterns and Architectures
    2/3
  • Debugging
    2/3
  • Stack Traces
    2/3
  • Testing
    2/3
  • System Administration
    2/3
  • Soft Skill Attributes
    60%
  • Entrepreneurial
    60%
  • Whole Brained
    60%
  • Divergent Thinking / Creativity
    60%
  • Design Ability
    60%
  • Empathy
    60%
  • Project Management Ability
    60%
  • Security
    60%
  • Code Quality
    60%
  • Complex Logic
    60%
  • Models
    60%
  • Controllers
    60%
  • Templates
    60%
  • APIs
    60%
  • Training/Testing Data Models
    60%
  • Code Readability
    60%
  • Ongoing Evaluation
  • Number of Lifelong Learning Project
    2
  • Number of Coding Challenge Completed
    3
  • Lifelong Learning Project 1
  • Lifelong Learning Project 1
  • Coding Challenges 1
  • Coding Challenges 2
  • Coding Challenges 3
Experience
Developer
Passion Project
Jun 2021 - Jun 2021
Microsoft Company
Technology Industry
Project: Leap Hackathon
  • CSS
  • HTML
  • JavaScript
  • Machine learning
  • Developed an application to predict pest infected crop using Microsoft Azure Machine Learning Services.
  • Developed an application that could act as an information pool for farmers using HTML, CSS and JavaScript
Fellowship
Internship
Jul 2020 - Oct 2020
10 Academy Company
Technology Industry
Project: Data Science Fellowship
  • Data mining
  • Data Science
  • Pandas
  • Data visualization
  • Numpy
  • Created machine learning models for predictive and sentiment analysis using classification and regression algorithms.
  • Built Tableau data visualization dashboards to show insights of portfolios, and customer-level detailed reports for data from the healthcare and finance industries.
  • Perfomed Data Mining, cleaned and analyzed large amounts of structured and unstructured data with BeautifulSoup, pandas, numpy e.t.c.
  • Completed an estimated 600 hours of data science work.
Qualifications
Education
Strathmore University
Apr 2015 - Dec 2020
Bachelor of Business Information Technology 
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