Mercy C
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The client satisfaction rating is the weighted average of client ratings, with weights based on reviewed work hours. When no client rating exists, the approval fraction (approved vs. reviewed work hours) determines it.
If the client satisfaction rating exceeds the overall rating, it becomes the star rating. In the absence of client ratings, if the average client interview rating is higher than the overall rating, it becomes the star rating. If no data is available, the star rating defaults to the internal interview score.
Junior Machine Learning Engineer Preferred Title
$31.25 /hr $ 36.0K /yr Hourly Rate and Yearly Salary
Overview
Basic Summary
LD Talent History - Average Count of Messages/Day 0.4
- Project Completion Rate 2/4
- Interview Acceptance Rate 4/6
- Timezone Overlap 20h PST, 56h UTC
- Software Engineering Process 4.0/5
- Design Practice 3.0/5
- Design Theory 3.0/5
- Technical Breadth 4.0/5
- Logical Thinking 3.0/5
- Technical Strength 4.0/5
- System Design 3.0/5
- Productivity and Responsiveness 3.0/5
- Teamwork 3.0/5
- Agile Development Process 3.0/5
- Intellectual Merit 4.0/5
- Documentation 3.0/5
- Desktop Mac
- Phone Android
- Tablet Android Tablet
- Member Since Mar 24, 2021
- Profile Last Updated Dec 06, 2022
- Last Activity July 26, 2024, 7:23 a.m. UTC
- Location Kenya
Profile Summary
I am a passionate software engineer with two years of experience building and implementing solutions within the data space. I am skilled in developing and testing machine learning algorithms, performing statistical tests predictive modeling.
Skills
Total Experience: 2+ years
Python (4E, 3Y)
4 experiences, across 3 yearsMySQL (2E, 2Y)
2 experiences, across 2 yearsCassandra (2Y)
2 years of experienceAWS S3 (2E, 2Y)
2 experiences, across 2 yearsRedis (2Y)
2 years of experienceAWS Redshift (2Y)
2 years of experienceGoogle Cloud (2Y)
2 years of experienceMicrosoft SQL Server (2Y)
2 years of experienceSQLite (2Y)
2 years of experienceMachine learning (2Y)
2 years of experienceData visualization (2E, 1C)
2 experiences, with 1 courseTableau (2E)
2 experiencesData Analytics (2E, 1C)
2 experiences, with 1 courseMicrosoft Excel (2E)
2 experiencesSCRUM (1C)
1 courseData Science (1C)
1 courseData mining (1C)
1 courseAzure (1C)
1 course
Weekly Availability
Timezone Overlap with 06 - 21 per Week: 20h PST, 56h UTC
Day
Monday
Tuesday
Wednesday
Thursday
Friday
Saturday
UTC
07 - 17
07 - 17
07 - 17
07 - 17
07 - 17
06 - 12
PST
00 - 10
00 - 10
00 - 10
00 - 10
00 - 10
23 - 05
Vetting
- Interview Data
- Software Engineering Process
- Design Practice
- Design Theory
- Technical Breadth
- Logical Thinking
- Technical Strength
- System Design
- Productivity and Responsiveness
- Teamwork
- Agile Development Process
- Intellectual Merit
- Documentation
Experience
Developer
Employment
Apr 2021 - Sep 2022
Safaricom Plc Company
Telecommunications Industry
Project: Zuri ChatBot
- Used Python, Cassandra, AWS S3, AWS Redshift, Google cloud - Kubeflow, and Redis while working in a team to develop, implement and monitor a customer service chatbot.
- Currently working on upgrading the chatbot to understand Kenyan urban dialect. This will reduce the number of calls from customers to customer service by over 52%.
- Used MySQL to query the database for data.
- Worked with a team to develop a credit scoring model for a new lending service (Fuliza).
Developer
Employment
May 2021 - Mar 2022
KPMG East Africa Company
Ecommerce Industry
Project: Revenue Prediction
- Developed and helped the development team with deploying a revenue prediction model that is used by the company to help with strategies and project quarterly objectives. Used SQLite and AWS S3.
- Designed and developed an end-to-end A/B testing system to compare algorithm performance for revenue prediction within the organization. Technologies used: Python, MySQL, and Machine Learning skills.
- Developed a human resource shortlisting tool and integrated it into the existing application portal. Technologies used: Python, RPA, and Microsoft SQL Server.
- Integrated the revenue prediction model into the management dashboards to help with revenue goals.
- Resolved bugs and added new features to the existing Data Management System, Data modeling, Predictive Analytics, Transformation, Visualisation, Data Quality Assurance, Data Privacy, and Governance.
Reports Developer
Internship
Aug 2020 - Sep 2020
KPMG Virtual Program Company
Retail Industry
Project: Product Market Trends
- Data Cleaning and Preprocessing using Microsoft Excel and Python.
- Data wrangling, cleaning, and preprocessing.
- Data Visualizations using Excel and Tableau.
- Extensive Exploratory Data Analytics.
- Coming up with insights on market strategies and performing statistical calculations.
Developer
Internship
Jun 2020 - Jul 2020
Hash Analytics Global Program Company
Technology Industry
Project: Data Analytics and Modelling
- Performing data preprocessing using Python.
- Analyzed large amounts of data to identify trends and patterns (Data Analytics).
- Built predictive models and machine-learning algorithms.
- Data Visualization using Tableau for analysis and presentations.
- Sorting data sheets on Microsoft Excel and telling stories using data and coming up with insights.
Qualifications
Education
Kenya College of Accountancy
May 2018 - Dec 2021
BSc (Information Technology)
Courses