From Senior Data Scientist to Paid Omdena Projects, to Becoming a Technical Mentor

Abhishek Singh Rathore from India is an experienced data scientist with an outstanding history of working and delivering quality results in complex projects. He has completed several Omdena Challenges, upon which he became an Omdena Top Talent to work on paid gigs with companies.

He is skilled in R, Python, Hive, Tableau, and various concepts in data science. He has more than 10 years of industry experience in solving problems and building solutions. Abhishek is an expert in building AI solutions and educating people about artificial intelligence, machine learning, and deep learning. Moreover, he’s a poet.

What is your background? 

I am an engineer who built a thermal power plant and then did an MBA. Later, I shifted to data science. Since then I have been working as a data scientist. I have an overall experience of 10 years—split into the power sector and analytics sector as 3,5 years and 6,5 years respectively.

When and how did you join Omdena? What was the reason?

I started my journey with Omdena in November 2020 after seeing their post on LinkedIn. I was very interested in the variety of use cases offered as part of  Omdena´s  AI Challenges. I was already in the data science field and thought that Omdena would be a good platform to learn/apply skills to different real-world problems.

What technical solution did you build recently in a project?

I worked on a challenge where we built a search engine to find similar textiles based on textile images. Thanks, Omdena for this wonderful project. This challenge was very different both from a technical standpoint and the expectation of my role, but I am glad it all went well and I ended up getting promoted to the responsibility of a Technical Mentor. 

Some of the projects Abhishek took part in:

• CGM – Identifying Malnutrition of Children
• ACET for Africa – Predicting Infrastructure Needs of Africa to Create Opportunities
• FlaskData – Increasing Drug Safety by Detecting Anomalies in Clinical Data Using Machine Learning
• OKO – Using Satellite Imagery to Detect and Assess the Damage of Armyworms in Farming

What was the biggest obstacle you overcame recently?

I became a bit lethargic during covid and it continued for some time, but recently I was able to overcome it, then I restarted my sports activities including cycling and MMA (Mixed Martial Arts). I write poetry, this is my blog. I also like photography and teaching. I have been teaching data science for the last 4 years as a part-time activity and used to teach math/robotics in NGOs before that.

What key skills did you learn through the Omdena experience?

In terms of soft skills, talking to collaborators from different parts of the world helped me understand and appreciate the impact of collaboration.