One of the talks I've heard as a data scientist is always to torture data so that it confess to you, but rather this is not my case. I love to care for data, by using the right tools to explore, analyze and wrangle the data so that the beautiful data can seamlessly give me an insight as to what it is portraying.
I am a data enthusiast. I love working around data. I don't know everything, but I've always aspired to know more but not everything. I've carefully studied the basics of mathematics and statistics that will help me draw a better conclusion and know more about my data.
- 🔭 I’m currently working on a project that will predict the name of my citizen state given their name and religion.
- 🌱 I’m currently learning R programming Language.
- 👯 I’m looking to collaborate on open source project on data science and building sustainable development goal.
- 🤔 I’m looking for help with learning more and collaborating with people in the data science space.
- 💬 Ask me about Statistics, Data Science, Mathematics, Python and, anything about data.
- 😄 Pronouns: He/Him
- ⚡ Fun fact: I'm a Geek
I'm also a Technical Author at Comet.ML and Hitsubscribe where I write articles related to Data Science and IT operations. I also create and share my knowledge of data science to open source communities like Freecodecam, dev.to, and Hashnode. Here are some of the articles with the highest likes and reactions that I have written.
- Top Stats Concept to Know before Getting into Data Science
- Intuitive introduction to Logistic Regression Understanding the mathematics behind the model
- 4 Core things to do when cleaning your data for predictive model
- Feature Engineering: The Transformation phase (How to Encode Categorical Features)
