Kingsley Torlowei
Lagos, Nigeria · - ·- · kingsleytorlowei.com
PROFESSIONAL SUMMARY
Success driven data scientist and engineer able to delve deeply in different topic domains to reach desired insights and
meaningful investment decisions.
Skills
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Programming : Python, Excel, R, Javascript, ReactJS, Node.js, HTML, CSS , Tensorflow, Keras, Bash, Docker.
Big Data: Amazon Redshift, Google Cloud, IBM Watson, Spark (Map-Reduce).
Machine learning: Classification, Regression, Clustering, Sentiment analysis, feature engineering, Deep learning.
Statistical methods: Hypothesis testing and confidence intervals, dimension reduction, Probability theory.
Projects
Creating Customer segments using a Gaussian mixture model to study delivery patterns.
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Implemented Gaussian mixture model on product spending data collected for customers of a wholesale
distributor to identify customer segments. Visualised data with matplotlib and seaborn and pre-processed the
data by each category and removing outliers.
https://kingsleytorlowei.github.io/portfolio/Customer%20Segmentation/Customer%20Segmentation
Sentiment Analysis on Movie Reviews
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In this project, i classified the sentiment of sentences from the Rotten tomatoes dataset.The Rotten Tomatoes
movie review dataset is a corpus of movie reviews used for sentiment analysis, originally collected by Pang and
Lee [1]. In their work on sentiment treebanks, Socher et al. [2] used Amazon’s Mechanical Turk to create
fine-grained labels for all parsed phrases in the corpus.
https://kingsleytorlowei.github.io/portfolio/Sentiment_Analysiss/Sentiment_Analysiss
Speech Analysis
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Statistical and acoustic analysis, including visualizations, for the samples from 10 classes of english speakers from
the speech accent archive. A project for The Art and Data Science fellowship.
https://github.com/kingsleytorlowei/Speech-recognition-based-english-accent/blob/master/Speech%20Analysis.i
pynb
More on my website
EDUCATION
Bachelor of Science in Management Information Systems | Covenant University, Ogun State, Nigeria, 2016
Coursework: Artificial Intelligence, Object oriented programming, Database Management, Information System
Performance Evaluation, Information System Security, Project Management, Business law etc.
CERTIFICATIONS
Machine and Reinforcement learning in finance | NYU, Coursera, 2018
Applied deep learning, IBM, Coursera, 2018
EXPERIENCE HIGHLIGHTS
NOUVO TECH LTD, Lagos, Nigeria, August 2017 to July 2018
Software Developer/ Data Scientist
● Leading he chatbot development, developing products for customers across banking, telco and airline domain.
● Incorporating statistical and machine learning models in the JMP drive platform for customer segmentation, user
profiling, purchase propensity calculation.
● Building front-end applications, dashboards and visualizations using dash, NVD3, react and D3js for data products.
JMP GLOBAL RESOURCES LTD, Lagos Nigeria, August 2016 to June 2017
Technical Lead
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Carried out research with census data to predict with supervised learning algorithms to predict the income level
of an individual with 88% accuracy.
Initiated performance and security testing on hosted applications using gatling, correlating functional and
nonfunctional requirements with system performance.
Facilitated the training of sitting senators for training in the United states.
