Python Developer Learning Engineer

Dapo Ogunnaike

Machine Learning Engineer/ Python Developer

https://www.linkedin.com/in/dax22

https://github.com/Dax22

Education 779-***-**** ***********@****.***.***

Jan 2022 - 2023

Illinois Institute of Technology,Chicago IL (Masters in Computer Science with Specialization in Artificial intelligence Jan 2002 - August: 2009

Olabisi Onabanjo Unversity, Nigeria ( Bachelor Degree in Computer Science )

SKILLS

Languages : Python, SQL, C, Java, React Native, HTLM, JavaScript, Natural Language Processing, Web

Scraping .Explanatory analysis, Natural Language

Processing, PySpark.ML,Jupyter Notebook. Data

structures,

Data modeling, Data visualization, Predictive modeling. Statistical modeling, Regression, Clustering and

classification

Python for numerical analysis.

Python Programming for web application back end.

Scripting for cloud implementation,

AI design.

Framework & tools : Pandas, TensorFlow, Scikit Learn, Matplotlib,Haystack, Numpy,Keras, PyTorch,

AWS,Hadoop.

WORK EXPERIENCE

Machine Learning Engineer 2018 -2021

Syscor Automation Advisory,Pretoria, South Africa

Data-driven and predictive (conversational) chatbot Development

Developed Test Data for NLP/ChatBot for Retail Banking Domain

Created a dialog flow for Chatbox using NLP

Uploaded and trained Chatbot data to NLP

Preparing Training & Testing Image Dataset for anger, fear,Sad happy supp-rises and neutral

Collaborate to design and Develop source code for training CNN model with a set of anger, fear, gender, and age images

Building AI models that make predictions based on large quantities of data

Transforming the machine learning models into APIs to interact with other applications

Machine Learning Engineer

Zenith Bank - Abuja, Nigeria (2015 to 2018)

Collaborate with Data Scientists and Product Managers to Devise strategies for tracking and visualizing the effectiveness of all installed methods, and publish verified schemes to the RTB platform.

define groups of features, use batch ingestion and streaming ingestion on Amazon sage-maker

built high-performance, ML pipelines from back-end data sources to train models and serve features to machine learning applications.

building and managing end-to-end data pipelines and operations from ingestion and integration through delivery for the data products..

Analyzing and troubleshooting large-scale distributed systems

Built a Machine learning pipelines that automate the model life cycle steps

completed 1st phase of ML infrastructure on Amazon Sage- maker.

Build and maintain data pipelines that are used for creation of models for prediction.

Designed an algorithm for distributed training: data parallelism and model parallelism

used Amazon sagemaker to develop model management tool for Resource monitoring and logging:

Artificial Intelligence Engineer

BANK PHP 2013-2015

Helping the R&D division to design and build infrastructure for distributed machine learning model

Design data pipelines to gather and store large quantities of data

Designed a Loan eligibility recommendation system.

Evaluating peers' operational ideas with other computer .

Introduced multiple architectures to handle millions of more client data.

Automating important infrastructure for the data science team

Developing infrastructures for data transformation and ingestion

Building AI models that make predictions based on large quantities of data

Transforming the machine learning models into APIs to interact with other applications

Python Developer (Contract ) 2015 - 2017

21st Century Technologies, Lagos Nigeria

.

Collaborated with Web Application Engineers, used Python scripts to load the data into AWS Cloud Cassandra

database

Visualized over 40 datasets with Matplotlib

Involved in processing the streaming data as well as batch data using Apache Spark

Coding for web application back end for payment system

Design and create effective websites and applications

Write reusable, testable, and efficient Python code Software engineer

Starcom Telecommunications 2009 -2012

Analyze, design and develop tests and test-automation suites.

Design and develop a processing platform using various configuration management technologies.

Test software development methodology in an agile environment.

Provide ongoing maintenance, support and enhancements in existing systems and platforms.

Collaborate cross-functionally with data scientists, business users, project managers and other engineers to achieve elegant solutions.

Provide recommendations for continuous improvement.

Work alongside other engineers on the team to elevate technology and consistently apply best practices.

Execute full software development life cycle (SDLC)

Develop flowcharts, layouts and documentation to identify requirements and solutions

Write well-designed, testable code

Projects

Ecentric Recommeder system March - August 2018

Developed Sentiment detection algorithm for sentiment score metric Feb-2019 - April2019

Detecting Fake news in Social media (class Project ) Spring Semester 2021

Recommendation algorithm for Loan Eligibility

August 2020- December 2020

Credit scoring system with logistic regression algorithm Feb2019 - June2021

Feature extraction for medical imaging

Sept 2020 - Feb 2021

Music Data set and recommendation system

March 2021- June2020

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