Sometime back, I wrote about why I have started mentoring and the scope of fields in which I am interested in mentoring. Not long ago, I broadened my horizon further to include Machine Learning in the scope. Hence, I have prepared a Machine Learning Roadmap which is quite hands-on, will nudge you to pursue your curiosity and, is supposedly less boring and more intriguing – which reduces the overall probability of dropping off in comparison to video lecture courses out there. The roadmap is designed for you to learn Machine Learning in a step-wise manner. It would equip you to learn and gain hands-on experience in streams like data cleaning, data visualization, exploratory data analysis, data modeling, etc.
In the blog, I will give you a walkthrough of the Machine Learning Roadmap, how to download it and would encourage you to write or talk to me if you need help. In the end, you can give me a feedback on how did the Machine Learning Roadmap helped you, and how can it be further improved!
Continue reading “Machine Learning Roadmap: An Effective Guidebook for Learning Machine Learning”
A while ago, I wrote about opening up my calendar for mentorship. Soon, quite a few people talked to me about career switches, interviews for university admissions, life in & career opportunities in Singapore, etc. I eventually asked all of them to score my mentoring. While the conversations are definitely very subjective, I decided that the scoring could be objective. I have decided to open source the evaluation criteria that I use for gauging how effective I am as a mentor. Besides, I will also put up and be very transparent about the scores that I receive, where am I lagging and where I am doing good.
Disclaimer: Even though I realize that feedback is very important, it’s voluntary and optional exercise for the mentees and I do not nudge anyone repeatedly to fill up my evaluation. Thus, I will keep on updating the chart as and when I get more responses.
You will find the evaluation criteria structured in the following way:
Continue reading “Evaluating Effectiveness of Mentorship: Open Sourcing My Framework”
- Whether I answered all the questions satisfactorily, to-the-point, and in a structured way?
- Questions around:
- Ease of approach
- Content Expertise
- Clear and comprehensive speaking
- Any bias or prejudice while mentoring
- Professional integrity
- Did I refer any 3rd party material or a subject-matter-expert?
- Whether I am worthy of being referred?
- Overall score and my ROTI (KPI)
- Subjective Feedback