OKWY UWADOKA

adt788@r.postjobfree.com GitHub: github.com/Okwy-UE Portfolio: okwy-ue.github.io

PROFILE SUMMARY

Data Scientist / Machine Learning engineer. Highly proficient at data collection, wrangling and modelling techniques; with success in building efficient machine learning algorithms and predictive models for software applications and industrial purposes. Experienced in mathematical modelling and Python. Passionate about Machine Learning cutting edge technologies. Skilled in problem definition, critical thinking and complex decision-making processes. KEY SKILLS

● Data Collection ● Dataset Building ● Exploratory Data Analysis ● Data Visualization ● Data Modelling

● Machine Learning Model Development ● Computer Vision ● Recommender Systems ● Natural Language Processing

● Audio Processing ● Time Series ● Model Optimization ● Transfer Learning TECHNICAL SKILLS

● Languages/Tools: Python, MATLAB, MySQL, PostgreSQL, Jupyter Notebook, Git

● Libraries: Numpy, Pandas, Matplotlib Scipy, Scikit-Learn, NLTK, SpaCy, Tensorflow, Keras, Pytorch, OpenCV, PyCaret, MLFlow

WORK EXPERIENCE

Data Scientist – MidroHub Aug. 2020 – Present

● Provide business insight for contract clients using Python, and building embedded Machine Learning solutions for the same.

● Use SQL to collect data and perform exploratory analysis on the data using Pandas and Matplotlib.

● Build and optimize machine learning and deep learning models using Scikit-Learn, Tensorflow and Keras libraries.

● Work closely with the Software DevSecOps team to deploy, monitor and maintain built models.

● Use PyCaret library to automate the cycle of model creation and workflow.

● Write documentation of process flow for model development, functionalities and limitations for optimal software use by client. Contract Machine Learning Engineer – Alpha Techies Jul. 2021 – Jan. 2022

● Analysed employer’s need and software requirements to determine the time and cost feasibility of the job.

● Performed exploratory data analysis and manipulation on the image data provided using OpenCV, Pillow and Numpy.

● Performed transfer learning with Rosetta pretrained model to implement OCR technology, converting data entries from image format to editable spreadsheet text.

● Carried out model evaluation using cosine similarity between the true values and predicted values by model.

● Performed Natural Language Processing on extracted text using SpaCy and NLTK libraries.

● Prepared bi-weekly reports on the status of the job. Data Modelling Intern– S2PAfrica Feb. 2021 – Dec. 2021

● Worked closely with mechanical engineers to perform parametric modelling of machines using Autodesk Fusion 360, and Python in Visual Studio Code.

● Carried out mathematical modelling on machinery performance using Autodesk CFD and MATLAB.

● Performed exploratory data analysis on simulation results obtained using Microsoft Suite.

● Simulated mathematical models to assess feasibility, sustainability and cost-effectiveness for large scale use with the aid of Wolfram Mathematica.

● Conducted cost-effective experiments with prototypes, documented results and delivered conference presentations to industry experts and academics across the globe.

EDUCATION

B.Sc. Mechanical Engineering – University of Lagos Oct. 2016 KEY PROJECTS

● Image Style Transfer: Use of transfer learning with the VGG-16 model as implemented on PyTorch to transfer artistic characteristics (colour, lines and themes) from one image to another. https://github.com/Okwy-UE/Picture-Style- Transfer

● Chatbot: Creation of a chitchat bot with fixed responses, where user queries are matched with a pool of query-answer pairs and cosine similarity determines the confidence of the bot. https://github.com/Okwy-UE/ChatBot

● Musical Instrument Classification: Prediction of musical instruments with audio data. Employed fourier transforms, Mel- Frequency Wrapping and a Recurrent Neural Network. https://github.com/Okwy-UE/Bird-Species-Prediction

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