A bitsy Journey with Huge Impact: HDSC 2020

Hamoye Data Science Cohort, Organised by Hamoye an ed-tech and talent development company with operations in the United States of America(USA), Bermuda, and Nigeria.

Back in July 2020, I joined the Hamoye Data Science Cohort, as a Data Science Intern. It was never a normal Internship, gradually with stages, the competition got tougher and tougher at each stage. We started with around 2100 interns from all around the globe. So it began with a bang with a Virtual Party on 4th July 2020, it was actually so fun, new people unique stories, and versatile backgrounds.

As one says the best way to learn is by doing. So at each stage, we had the following things to learn from :

1. Documentation for each topic.
2. Dataset to do hands-on of the concepts learned.
3. The best part of each stage was actually the Slack contribution (Data science Community ) was actually brilliant, in every aspect, helpful, knowledgeable.
4. Webinars: Saturdays’ were awesome, we had webinars from the Industry experts from FAANG, who would help to bridge the gap between what we learn and what is expected in the Data Science industry from us.
5. Happy hours on Fridays, discussion with the Hamoye officials simply shows their efforts for each intern.
6. The best Part were Hamoye officials, flexible willing to listen to each intern’s concern. Always helpful. Any problem they are there spot on.

Webinar speakers

“The best way to learn is by collaboration , this is a fact .” — Shivam Singh Rathore

To make sure that the best and most deserving candidate moves to the next stage, there was an evaluation for that purpose, which included Quizzes, collaborations on Slack, and Quality of code. Interestingly a leader board was maintained, in fact, it's still there till the last stage.

Let's have a quick overview of the Projects I worked on during the Internship from Stage A to Stage G ( Data Science Track).

1. Stage A: Climate Change Analysis.
2. Stage B: Predicting Energy Efficiency of Buildings.
3. Stage C: Classify and predict the quality metrics (qascore) of the ecological footprint data.
4. Stage D: Kaggle Project: Amazon Deforestation
5. Stage E: Forecasting Individual Household electric Power Consumption And Heart Failure Prediction (Open Source Project)
6. Stage F: Startup- Success ( Open Source Project)
7. Stage G: Movie-Analysis ( Open Source Project)

Technical Skills Gained far: Although I had worked in Machine Learning before, these stages gave it a whole new dimension, Regression Analysis, Classification techniques, Neural Networks, Time Series Data Handling, Image Recognition, Clustering Analysis, Open Source Contribution.

If this wasn’t enough, Soft skills were an additional gift.

I would like to have a special mention of the Open Source Projects that I have worked on during the Internship.

OPEN SOURCE PROJECTS:

Trust me what you can never learn from an individual project, you can from an open-source project, Collaboration teaches you everything unconsciously like teamwork, Listening to others, solving together, an industry like an experience, where we were having Project Lead, Assistant Project Lead, and A Query Analyst. And those virtual meets make a huge difference in thinking analysis. And in between those OSPs, Hamoye Officials always had a closer look at our work.

Encouragement: To make the continuous flow of energy through each stage Hamoye gave away 1 million NGN to top performers.

So as of today, the internship will end tomorrow (15/12/2020), and last but not least I am eagerly waiting for the Data Science Conference (19/12/2020), this will mark the end of this Data Science Journey.

Happy Learning to all, keep sharing the knowledge, and lift the Data Science community to its full potential.