Akinwande K

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 but do not influence their star rating, though they do influence their position in the search results.

Software Engineer Preferred Title

$43.75 /hr $ 28.0K /yr Hourly Rate and Yearly Salary

Overview Vetting Experiences Qualifications

Overview

Basic Summary

LD Talent History

Worksession Approval 64.0%
Average Response Time 6.1 hours
Average Count of Messages/Day 0.9
Project Completion Rate 2/4
Interview Acceptance Rate 4/6
Timezone Overlap 44h PST, 49h UTC
Earned Hours 3.50

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

Talent's Devices

Desktop Mac
Phone iPhone

General

Member Since Jan 27, 2020
Profile Last Updated Nov 14, 2021
Last Activity March 24, 2022, 6:52 p.m. UTC
Location Nigeria

Profile Summary

Adaptable Data Scientist skilled in recording, interpreting and analysing data in a fast-paced environment. Able to play a key role in analysing problems and coming up with creative solutions as well as producing methodologies and files for effective data management. A quick learner who can absorb new ideas and can communicate clearly and effectively.

Skills

Total Experience: 4 years

keras (1E, 4Y)
1 experience, across 4 years
Python (3E, 4Y)
3 experiences, across 4 years
Deep learning (1E, 4Y)
1 experience, across 4 years
Machine learning (3E, 4Y)
3 experiences, across 4 years
AWS S3 (1E, 4Y)
1 experience, across 4 years
Web scrapers (1E, 3Y)
1 experience, across 3 years
Natural language processing (1E, 3Y)
1 experience, across 3 years
Python Selenium (1E, 3Y)
1 experience, across 3 years
Data Science (1E, < 1Y)
1 experience, less than a year
scikit-learn (1E, < 1Y)
1 experience, less than a year
Docker (1E, < 1Y)
1 experience, less than a year
Power BI (1E, < 1Y)
1 experience, less than a year
Tableau (1E, < 1Y)
1 experience, less than a year
Microsoft Excel (1E, < 1Y)
1 experience, less than a year
Data Analytics (1E, < 1Y)
1 experience, less than a year
MySQL (1E, < 1Y)
1 experience, less than a year

Weekly Availability

Timezone Overlap Per Week: 44h PST, 49h UTC

Day

Sunday

Monday

Tuesday

Wednesday

Thursday

Friday

Saturday

UTC

10 - 20

13 - 19

14 - 20

11 - 20

PST

03 - 13

06 - 12

07 - 13

04 - 13

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

Software Engineer

Passion Project

May 2020 - Present

Tekspace Company

Technology Industry

Project: web scraping

Natural language processing
Machine learning
Python Selenium
Web scrapers
Python

Built web scrapers from scrapsfromthelofts.com with the BeautifulSoup package.
I used python selenium for creating the headless browser and debugged the web scraping script.
Used machine learning algorithms to predict sentiment of different comedians.
Used Natural language processing to build a sentiment analysis model.

Software Engineer

Contract

Jul 2019 - Present

Terragon group Company

Media and Communication Industry

Project: Building click through rate models

keras
Machine learning
Deep learning
AWS S3
Python

Carried out the extract, load and transform process on the data from AWS S3 with python scripts.
Deployed machine learning models into production as a RESTful web service.
Conducted cluster analysis to generate segmented profiles for customers using deep learning
Developed a wide and deep neural network using the Keras API to predict whether a mobile ad will be clicked or not.

Github Links

https://github.com/Sensei-akin/slik_python_package/

Software Engineer

Contract

Jun 2020 - Sep 2020

Ensemble lab Company

Finance Industry

Project: Building Credit risk models

Machine learning
Data Science
Docker
scikit-learn
Python

I developed a loan default model using scikit-learn API to predict if a person will default on a loan.
Dockerized my model in order for the API to be consumed in production.
Used my data science and analytical skills to effectively carry out my job.
Carried out the extract, load and transform process on the data from AWS S3 with python scripts.
Developed machine learning algorithm to predict how much a loanee earns per month based on some variables.

Software Developer

Contract

Jun 2019 - Aug 2019

Terragon group Company

Arts and Entertainment Industry

Project: Data Analyst

Data Analytics
Power BI
Microsoft Excel
Tableau
MySQL

Daily analysis and reporting across all live campaigns using my data analytics skills.
Proficient use of Microsoft Excel to seamlessly perform my duties.
Data gathering for marketing campaigns using MySQL.
Created a marketing dashboard with Tableau.
Plotted graphs and charts with Power BI for easy reporting and visualisation of campaign performance.

Qualifications

Courses

Data Engineering

May 2020 - May 2020

Udacity

Apache Spark
AWS ElasticMapReduce
AWS ECR
Data Engineering

Natural language processing specialisation

Sep 2020 - Dec 2020

Cousera

Natural language processing
Twitter APIs
Google NLP API
Machine learning
Python

Akinwande K

keras (1E, 4Y)

Python (3E, 4Y)

Deep learning (1E, 4Y)

Machine learning (3E, 4Y)

AWS S3 (1E, 4Y)

Web scrapers (1E, 3Y)

Natural language processing (1E, 3Y)

Python Selenium (1E, 3Y)

Data Science (1E, < 1Y)

scikit-learn (1E, < 1Y)

Docker (1E, < 1Y)

Power BI (1E, < 1Y)

Tableau (1E, < 1Y)

Microsoft Excel (1E, < 1Y)

Data Analytics (1E, < 1Y)

MySQL (1E, < 1Y)