Adding information - (moreover, furthermore, in addition, also, besides) - I like English. Moreover, I enjoy practicing daily
Contrasting - (however, nevertheless, on the other hand, yet, although) - I studied hard; however I didn’t pass the teghst
explaining reasons - (because, as, since, due to, owing to) - I succeeded because I worked hard
results/consequences - (therefore, consequently, as a result, thus, hence) - She was will. Conse- quently, she missed class
Sequencing - (firstly, secondly, then, next, finally, afterwards) - firstly, we plan. Then, we execute
From Senior to Lead Data Scientist and ML Engineer
Lead need to be confident to work in any team
Avoid lack of consistency: systematically repeating old mistakes can be a sign that senior behavior is not yet internalized
Diminishing returns will hit when the senior data scientist become to accommodate to the task
Traits to be copied or enforced by the team from senior ds is a good signal for lead level
Become point of contact from other specialists
It is necessary to have a promotion case worked together with the manager and of course opportunities to influence others
Focusing to change the nature of the work instead to adding more responsibilities
Lead operates in team level
Lead need to focus on high leverage tasks, for example: strategic planning, mentoring other ds, settings critical goals, align with stakeholders.
Is time to build tools/libraries to be used by the squad that are bottlenecks. Should be a code that is often repeated on notebook and be transformed into something reusable
Sharing knowledge explain how to use a open source library, explain a new approach, create new ways to solve things
Interact with other person helping them to clarifying a task. Support other ds
Take care to not become overwhelmed by all the help requests
Helps team to navigate between the trade-off of the choices
Help other people coaching them, helping juniors to become seniors
Archetypes:
tech lead: help others to make usual steps good and jump between special topics
solver: taking things from scratch, jump between big issues, create first versions
architect: specialized in scalable impact in terms of infrastructure. Set standards and recommended the right approach
right hand: involved in technical knowledge with business and organizational problems.
Python
Strategy is a design pattern used to control different algorithms depending on the context
Strategy is possible to implement with functions when there is no states/variables necessary on the classes
Using functions is not necessary to instantiate new objects for each algorithm strategy
We can use decorators to register each one of the strategy
We can use Callable to type function using on strategy design pattern
