Week 3: The Week Python Finally Started Making Sense… Until My Math Quiz Broke!
Written byMustapha Anuhi
Week 3: The Week Python Finally Started Making Sense… Until My Math Quiz Broke!
Written byMustapha Anuhi
Showing 1–24
The first mistake many people make when approaching research is starting with the solution instead of the problem.
I thought finding the right research topic was the difficult part.
As I continue my data science journey, I am beginning to see that data science is not just about learning Python, writing queries, or building machine learning models. It is also about asking meaningful questions, investigating real-world problems, and using data to find answers.
Machine learning models can predict rock type from well logs, and many papers report high accuracy. But a model is only useful if it works on the next well you drill, and that is a well it has never seen. In weeks 4 and 5 of my DataraFlow course, I’m testing how much of that…
What if machine learning could help identify people at risk of diabetes using routinely available clinical information?
I thought data science was all about writing programs to address problems. However, weeks 4 & 5 at DataraFlow opened my eyes to a new horizon of possibilities. Writing code is an integral part of data science; however, beyond this is writing a research paper. A research paper…
Writing a full research proposal this week taught me that the distance between a topic and a commitment is wider than any five weeks of data science training prepared me for
If there is one thing about learning something new, it is that the excitement and the confusion usually come together. One minute, you are excited about all the things you could do. The next minute, you are staring at your laptop wondering if everybody else secretly received a…
“I didn’t expect a research proposal to make me rethink my entire career journey. But somewhere between reading phishing research papers and writing methodology sections, it did.”
Have you ever been in a situation where sleeping feels like a terrible mistake? 😂 You’re literally thinking about so many things that you barely notice what’s happening around you😓. That was me in Week 5 of my internship.
After getting my research topic approved I felt elated and I allowed myself a moment of rejoice. Little did I know that the real challenge was just beginning. The task of developing a research proposal was riddled with multiple hurdles and I had to overcome several obstacles in…
The skin is the largest organ in the human body. It protects us. It defines us. It — yeah, you’ve read this paragraph before. Every skincare article starts here, so let’s get it out of the way. Here is what those articles never say next: we have spent twenty years mapping how…
From manually collecting telecom data to refining my research topic, this week taught me that Data Science begins long before writing a line of code.
Last week, I shared the personal “spark” that drove my research topic at DataraFlow: the realisation that a massive $14 billion trade finance gap is holding back West African small businesses, not because the businesses are weak, but because traditional banks judge them in an…
Week 4 taught me to find the problem before touching the code. But Week 5 brought an entirely different test: turning that spark of an idea into a formal, stress-tested, and scientifically rigorous Research Proposal .
For the first few weeks of DataraFlow, the work had been fairly tangible. There was Python to practise, concepts to understand, assignments to complete, and code to write. You could look at a problem, work through it, and eventually see whether your solution worked.
I assumed open data meant a download button. It took me most of an afternoon, a lot of trial and error, and some help from a friend who knows his way around data tools before I had four wells I could actually use.
The past two weeks has introduced me a principle which is much neglected by individuals and businesses but yet hold the secret(Research) to success in any venture. I have been exposed to cryptocurrency market, forex and stock market for over a decade. I have intermediate and…
Title: I Chose Credit Risk for My Data Science Research — Here’s Why It Matters in Kenya Subtitle As a DataraFlow intern, I’m diving into loan default prediction. Not because the topic is new, but because the problem is still real. When I joined the DataraFlow internship, one of…
Why reliable AI should know when to make a prediction and when to step back.
Five weeks into DataRaFlow, and I'm beginning to see another side of the work.
There are ideas that sit quietly in the back of your mind for months, sometimes longer. You think about them during your commute, while reading the news, or late at night when your brain refuses to shut off. You know the problem is real. You know it matters. But you never quite…
When I first started exploring electric vehicle (EV) charging demand prediction, I thought the main challenge would be finding the right machine learning model. Train a model, evaluate its performance, compare a few alternatives, and identify the best one. It seemed…
For the first time since this internship started, I could actually sleep for longer hours without feeling guilty! 😂💃
Research papers and MVP projects from the programme, mentor-accepted and published in full.
Interns publish during an active cohort: every week, each intern writes up what they built and publishes it under their own name.