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Hi πŸ‘‹, I'm Francis

A Data & Analytics Engineer

  • πŸ”­ I’m currently working on Data Engineering projects

  • πŸ‘― I’m looking to collaborate on Data Engineering projects

  • πŸ’¬ Ask me about: Data Engineering, Analytics, Data Security, etc

  • πŸ“« How to reach out to me on twitter: @Ndaruga_

  • I speak Fluent English and some Chinese Mandrin

  • ⚑ Fun fact: I am Mechanic,πŸš—πŸ”§πŸ› οΈ with no idea how to intergrate it with techπŸ’»

Connect with me:

ndaruga_ francis-ndaruga @ndaruga

Languages and Tools:

Docker Apache Spark Apache Kafka Kibana Git Grafana Apache Hadoop Google Cloud Go Power BI Promotheus Snowflake Terraform Data Bricks Digital Ocean Fivetran Microsoft Azure Cloud Ops AWS Apache Airflow Ansible MariaDB MongoDB Google BigQuery PostgreSQL Python

ndaruga

Francis Ndaruga's Projects

automatic-number-plate-recognition icon automatic-number-plate-recognition

Automatic Number Plate Recognition (ANPR) is a system capable of reading vehicle number plates without human intervention through the use of high speed image capture with supporting illumination, detection of characters within the images provided, verification of the character sequences as being those from a vehicle license plate, character recogni

betty icon betty

Holberton-style C code checker written in Perl

fraud-detection-in-credit-cards-using-anormaly-detection icon fraud-detection-in-credit-cards-using-anormaly-detection

This project involves identifying unusual patterns or behaviors that may indicate fraudulent activity in credit cards. Anomaly detection algorithms work by learning patterns from historical data and then detecting deviations from those patterns in new data. Two algorithms have been utilized. i.e Autoencoders & Angle-based Outlier Detection (ABOD)

git-auto-push icon git-auto-push

Shell script to automatically do the common git activities. The script pulls files from remote, merges them, stages new files, commits them and pushes them to remote repository on a defined branch

n-beats icon n-beats

Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.

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