Finance analysts earn $95k–$250k/year.
The ones using Claude AI close work 3x faster.
📘 Claude AI for Finance Professionals — 120+ institutional-grade prompts for equity research, DCF, fixed income, portfolio strategy, earnings analysis, and IB workflows. Excel models included.
Normally $189 → 100% FREE for 48 hrs
Like + RT + comment 'Ebook'
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If you're a Data Analyst, Operations Analyst, or aspiring Supply Chain & Logistics Analyst who wants to move from reporting dashboards to driving real supply chain decisions, read this:
Dashboards are not enough.
Modern supply chain teams promote analysts who can:
• Forecast demand under uncertainty
• Optimise inventory and release working capital
• Model cost-to-serve and margin impact
• Quantify supplier and operational risk
• Simulate stockouts and lost-sales exposure
• Design efficient distribution and network flows
Most analysts track KPIs.
Very few understand capital and operational impact.
So I built the >>Supply Chain Capital Intelligence Blueprint << to move you from metric reporting to operational decision intelligence.
A system with two parts:
>>1. Supply Chain & Capital Intelligence Framework
Learn how real supply chains actually operate:
• Working capital & inventory optimisation
• Cost-to-serve and margin dynamics
• Supplier & concentration risk
• Multi-echelon inventory logic
• Transport cost volatility
• Network design and expansion strategy
• Executive operational communication
>>>2. The 12-Week Practical Supply Chain Analytics Roadmap
Build 10 real-world projects:
• Inventory optimisation (capital-focused)
• Cost-to-serve modelling
• Stockout and lost-sales simulation
• Supplier risk analysis
• Network optimisation
• Demand variability modelling
• Capacity and fulfilment analysis
• Capital allocation modelling
• Service level vs cost trade-offs
• Operational KPI system (decision-focused)
This is not decorative analytics.
This is institutional-level operational intelligence.
If you want the roadmap:
➡️Like
➡️Repost
➡️Comment ROADMAP
➡️send me a DM, I’ll share it
This Data Science Handbook teaches real-world DS better than most courses.
And I'm giving it away for free (Only for First 4500) 🚨
Inside:
• Advice from 25 top data scientists
• Real career paths (Uber, Airbnb, LinkedIn, Facebook)
• How to break into data science without a degree
• Building real data products (not just models)
• Data science + engineering mindset
• Industry workflows & decision-making
• From beginner → production-level thinking
This isn't theory — it's how top data scientists actually work.
How to get it:
• Follow me (must so I can DM)
• RT + Like
• Comment "book"
I'll DM you 📩
I wonder if @Baylor has someone who serves as a Business Analyst (or a similar title) for their athletic teams. They may have students that help with that.
If that's not the case, I am curious if @BaylorAthletics would benefit from a full time Business Analyst.
This is something I would be willing to talk with Athletic Director Doug McNamee and President Linda Livingstone. I am willing to write up a proposal and send it to both people.
This role would be helping all sports teams at @Baylor.
"Introduction to Machine Learning Systems"
- FREE from MIT Press
- Authored by Harvard Professor
- 2048 Pages
To Get It Simply:
1. Retweet & Reply "ML"
2. Follow so that I will DM you.
"Introduction to Machine Learning Systems"
- FREE from MIT Press
- Authored by Harvard Professor
- 2048 Pages
To Get It Simply:
1. Retweet & Reply "ML"
2. Follow so that I will DM you.
Happy to announce that I have hit 1 million XP on @duolingo. This has been a great app to learn Spanish, Portuguese and many other languages. Should I go for 2 million XP @duolingo?
Python skills average $120,000/year.
But it isn’t easy.
This "300+ Solved Problems in Python" handbook will help you master Python in Pandas, Regex, Recursion, and more.
Worth $75, next 48 hrs it’s FREE.
Repost + Reply “night”
(Follow so I can DM you)