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Date: 13th to 15th August, 2022.

Is hcl firing employees?
Additional Posts in Data & Analytics Consultants
What is a data lake in basic terms?
Got messaged by a C3 . ai recruiter. Read that wlb is bad and that the interview process is absurdly long, but the Glassdoor reviews are 4.2 and can't find actual hours worked posted by anyone. How's the culture really? I'd be aiming for DS consulting, something more functional but with DS/ML concepts as my differentiator.
C3.ai, Inc.
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get “vshaped” skills. Go deep in two things that intersect.
For me, that was finance/accounting and data engineering. Now I am an easy sell for any data engineering projects around billing systems.
My background was finance undergrad and accounting masters, and then got my cpa and spent. a few years in audit.
Then got another masters in CS. Now, I am in consulting, and I am able to bring a pretty strong skillset in finance, accounting, data modeling and engineering, and a resume to prove it.
This is really clever D2. That approach makes branding easier since you can always articulate the brand in terms of use cases and problem sets
In what way are you struggling? Sounds like you’re more strategy than purely or strong suit technical bc then branding follows suite. I’d see what your competition’s strategy has been on that great networking site. Otherwise portfolio of technical work. The challenge in an overly saturated hyped up field is to demonstrate you’re the real deal and not a fraudster learning on the job which is also pretty obvious from the get once those people get hired and is why they are job hopping so it’s made obvious on their resume
If your are in B4 and in DnA you have no brand. We really don’t do anything big except few fluff PowerPoint that has no value. No one looks into it. Industry pretty much recognized that. Better to work for specialized boutique D&A consulting - B4 SM
The Big4 consulting business model fundamentally thrives on defining more problems to create the demand, but not solving all of them so you can maintain pricing. If they get too good at solving, there won’t be enough open demand to drive pricing. But they need to be just good enough with just enough value delivery to stay relevant/sticky.. and to continue being credibly positioned to identify more demand.
Show casing personal projects that are relevant to the skills i want to be known for
Not a sure shot plan, but below works for me:
1. Choose an industry.. know in and out what data exists and impact which business processs
2. Choose an Account.. know the client problems from strategy to implementation
3. Know the full data lifecycle capabilities atleast at high level.
The 3 above will help you build confidence in yourself. Then:
4. Associate with Account or Sector leader, work closely to know what next are they working for and offer help.
5. Present in local/regional meetings to showcase project work or solutions build regularly so that people recognize your face
4-5… works for b4 where you are lost in crowd
6. Network with peers inside and outside your company, talk about the things that excite you in DnA. Post on LinkedIn about thought leadership in specific topics.
This will help you build your profile outside.
Note: D&A is a diverse skill capability. Look at the data operating model, pick a few roles and be a guru of that. Currently AI is selling, if you are techie focus on solution architecture, for non-tech, focus on strategy or governance.
F - Also struggling with personal branding and differentiating myself from others.. experience spans across DSG and technical domains such as engineering, modelling & architecture :/
yes- agreed and it feels like everyone uses terms differently so it's hard to know what they mean sometimes!
I’m not in B4, but I’m struggling with this too. I’ve become a generalist in DnA with no depth in a specific vertical.
F
F
Subject Expert
Personal brand like outside the firm?
I am the Ray Donovan of large transformation projects.
My only real skill is asking better questions to drive better conversations, which "generally" leads to better solutions.🤷♂️
"As a consultant, my specialty is (1) fluff and (2) ___"
I’ve been doing this for a while (15 years). Both strategy and technical implementation.
Really understand one or two CSPs/providers. I can go deep on GCP and Databricks.
Understand one or two industries. I can go deep on TLH and Retail.
Because of that I can talk through what your tech stack should look like, common use cases. Common organizational issues.
And I really know the use case execution cold. Especially anything forecasting or customer lifetime value related.
Figure out what those couple of areas are and then sell them.