• All categories
  • Data Engineering
  • Data Visualization
  • Data Science

Fraud Purchase Dashboard

Tableau dashboard that detects fraudulent purchases in the US state, comparisons between employment statuses and genders.

  • Tools used: Tableau, Excel
  • Category: Data Visualization

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World Suicide Dashboard 1985 - 2016

Provides insight on global suicide rate across by country, age group, gender. Compares rates between countries and identify patterns over time.

  • Tools used: Power BI , DAX
  • Category: Data Visualization

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Streaming real-time product data with Kafka and AWS Service

Created a real-time data pipeline using Apache Kafka and AWS services for instant data analysis of streaming product data

  • Tools used: Python, Heroku, AWS service (S3, Glue, and Athena), EC2, Apache Kafka
  • Category: Data Engineering

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Dockerized Flask CRUD Web App Deployed with AWS Services

AWS-hosted Flask web app, containerized with Docker for efficient scalability and high availability of Aurora DB amidst surging traffic

  • Tools used:AWS Services (ECS, ECR, Application Load Balancer, IAM, Aurora DB (RDS), Fargate), Flask, Docker, HTML, Bootstrap
  • Category: Data Engineering

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Cyberbullying Detector

Automated process to determine Cyberbullying in Tweets. Built a classifier using PyTorch to fine-tune a BERT model.

  • Tools used: Python, NLTK, Pandas, Scikit-Learn, Github, Git, Pytorch, Hugging Face Transformer
  • Category: NLP

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about me

Data Scientist with years of commercial experience in analytics, significantly contributed to business goals in customer experience, risk migration, innovative marketing, and sales operations.

Master’s degree in Data Science from The University of British Columbia. Previously at Airtel (a matrix multinational telecommunication industries in Africa, Asia and Europe) and retail pharmacy startup - One Health.

Volunteers at FIRST Robotics - A global robotics community preparing young people intrested in STEM for the future.

Given talks and workshops such as Introduction To Dash at Women in Machine Learning