Green leaf

Akinwande K - keras developer
Member since:Jan 27, 2020
Profile last updated:Nov 14, 2021
Last activity:Dec. 1, 2021, 12:01 a.m. UTC

Akinwande K

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:   keras  ·  Python  ·  Deep learning  ·  Machine learning  ·  AWS S3  ·  Web scrapers  ·  Natural language processing  ·  Python Selenium  ·  Data Science  ·  scikit-learn  ·  Docker  ·  Power BI  ·  Tableau  ·  Microsoft Excel  ·  Data Analytics  ·  MySQL  · 
Weekly Availability: 49 hours
Sun 10 - 20 02 - 12
Mon 13 - 19 05 - 11
Tues 13 - 19 05 - 11
Wed 13 - 19 05 - 11
Thurs 13 - 19 05 - 11
Fri 14 - 20 06 - 12
Sat 11 - 20 03 - 12

Invite for Interview
Hourly Rate: $43.75
Experience: 2+ yrs
keras: 2+ yrs
Python: 2+ yrs
Deep learning: 2+ yrs
Machine learning: 2+ yrs
AWS S3: 2+ yrs
Web scrapers: 2 yrs
Natural language processing: 2 yrs
Engineer's Devices:

LD Talent Work History

Average response time:
3.0 hours
Avg count of messages / Day:
Average client satisfaction:

Earned hours:
Worksession approval:
# Hires / # Interviews :
1 / 2


Tekspace     web scraping     Software Engineer     Passion Project
May 2020 - Present

  • Built web scrapers from 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.

Skills used: Natural language processing, Machine learning, Python Selenium, Web scrapers, Python

Terragon group     Building click through rate models     Software Engineer     Contract
Jul 2019 - Present
Media and Communication

  • 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.

Skills used: keras, Machine learning, Deep learning, AWS S3, Python

Link to the github:
Ensemble lab     Building Credit risk models     Software Engineer     Contract
Jun 2020 - Sep 2020

  • 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.

Skills used: Machine learning, Data Science, Docker, scikit-learn, Python

Terragon group     Data Analyst     Software Developer     Contract
Jun 2019 - Aug 2019
Arts and Entertainment

  • 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.

Skills used: Data Analytics, Power BI, Microsoft Excel, Tableau, MySQL


Data Engineering    Udacity
May 2020 - May 2020
Skills learnt: Apache Spark, AWS ElasticMapReduce, AWS ECR, Data Engineering
Natural language processing specialisation    Cousera
Sep 2020 - Dec 2020
Skills learnt: Natural language processing, Twitter APIs, Google NLP API, Machine learning, Python