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I make beautiful things with Data

I am a Software Developer turned Data scientist who loves leveraging data-driven solutions that make an impact on business and society. !

*To understand cause and effect._ *To extract decision making Insight. *To help machines learn. *To make the world a better place.

As a result of my perpetual curiosity, I have practical experience with a wide range of technologies including:

Python • R • Javascript • SQL • PHP • HTML5 • CSS • Bootstrap • NodeJS • Jquery • MySQL • MongoDB • Scikit-Learn • Pandas • Numpy

Machine Learning Algorithms, Data Analytics, Statistical Data Analysis, Natural Language Processing, Data Visualization, Database Systems & Information Modelling • Software Engineering • Web Application Development, and more!

Thankfully, I’m not a cat.

To feed my hunger for learning, I take online courses for different Data Science topics and work independently on projects in my free time. Some of them include:

• Applied Data Science I: Scientific Computing & Python by World Quant University - The Data Incubator
• Applied Data Science II: Machine Learning & Statistical Analysis by World Quant University - The Data Incubator
• Data Scince Math Skills by Duke University - Coursera
• Machine Learning by Stanford University
• Data Science Specialization by IBM - Coursera
• Statistics Specialization: Inferential Statistics - by Duke University - Coursera
• Big Data Foundations, including Hadoop and Spark - by IBM - Big Data University-
• Python Data Science and Machine Learning Bootcamp - Udemy
• Machine Learning Engineer Nanodegree - by AWS - Udacity - Udacity (currently doing ~ why? because I like being woke!)

• Data Science (ML & DL)
• Data Analytics
• Finance
• Healthcare
• Statistics

And that’s about it! Feel free to connect on LinkedIn or get in touch if you want to discuss opportunities, collaboration and consulting!