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

PST

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

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

Claire M

Pandas (1E, < 1Y)

Numpy (1E, < 1Y)

Data visualization (1E, < 1Y)

Data mining (1E, < 1Y)

Data Science (1E, < 1Y)

HTML (1E, < 1Y)

JavaScript (1E, < 1Y)

CSS (1E, < 1Y)

Machine learning (1E, < 1Y)