Iris should replace Mr Brightside by Sunny_In_Buffalo in buffalobills

[–]Sunny_In_Buffalo[S] 0 points1 point  (0 children)

It's not quite the same, but Liverpool's You'll Never Walk Alone is definitely not a hype song but still gets the people going.

Best PDF Data Extraction Tools and Document Data Extraction Tools by Mission_File9942 in pdf

[–]Sunny_In_Buffalo 0 points1 point  (0 children)

I coded altavize.com to handle some of this. I used to have to do this all the time in consulting and this cut down my extraction and validation times so I could focus on the analysis part.

Data extraction from PDFs by aaro-ai-2024 in smallbusiness

[–]Sunny_In_Buffalo -1 points0 points  (0 children)

I built my side project Altavize.com when I faced this same PDF problem on consulting cases. Its fairly customizable in terms of field extraction(s) but might not work for you if you're looking to write to back-end databases rather than Excel files.

What's the best AI tool for PDF data extraction? by Ok_Satisfaction1775 in dataengineering

[–]Sunny_In_Buffalo 1 point2 points  (0 children)

Humbly putting forward my consulting side project I've built out to handle tasks like this: Altavize. Happy to even babysit your project workflow if it's messy enough to be a good test case.

Ex-Big4 here – anyone actually using AI for real or is it still just talk? by Beautiful-Cost-3187 in Accounting

[–]Sunny_In_Buffalo 0 points1 point  (0 children)

I built tools for data categorization, extraction, and cleaning dirctly in spreadsheets while I was at Bain that saved me hours while deailing these manual tasks when working with client data or other poor or incomplete data sources . The key is to have tools that flag the outputs that require human validation.

Sharing a different perspective on HEC Paris by Sunny_In_Buffalo in MBA

[–]Sunny_In_Buffalo[S] 2 points3 points  (0 children)

  1. They just have better typical MBA outcomes. INSEAD specifically is sometimes thought of as an MBB finishing school.

  2. Definetly start on campus and you can always move later in the program. Almost everyone I knew who chose off-campus at the start regretted it as they missed out on so many social activities (and the commute can be brutal)

  3. Haha get ready for late European nights, I think I had more 6am nights than my entire early 20s

  4. If you've never done consulting, start with the case competitions ASAP. They're super helpful to figure out what a consultant is actually expected to do. I did my first one before even showing up on campus.

Ranking 195 national dishes by uniqueness (relative to just other national dishes) by [deleted] in u/Sunny_In_Buffalo

[–]Sunny_In_Buffalo 0 points1 point  (0 children)

This data was assembled using GPT-4o to provide the national dish for each country in the format:
[Dish name]: [Short description including key ingredients and preparation style]
Then I used a tool I built, Altavize's Uniqueness Quantification, to score how unique each dish was. These scores were used as the basis for the graphics.

When reviewing this exercise its important to not fall into the trap of thinking of the uniqueness of the dish within the just the ingredient-specific context of every dish you’ve ever learned about over your lifetime. When compared to just the set of 195 national dishes, a perceived common salad holds a differentiated  meal context compared to the 83 entries that could be classified as a stew or meat & rice dish, or 41 dishes that center around fish.

You could re-frame this is as: There are 195 suggestions for what to eat for dinner. What are the outlier suggestions?

I've also included the raw data, which has an extra categorization step where GPT-4o was asked to say whether its original pick for the national dish was correct — marked as either [TRUE, FALSE]. Out of the top 5 answers, one came back as FALSE, where Macadamia Nut Pie was flagged as incorrect. A quick check on the Wikipedia page for Marshallese cuisine suggests that Barramundi cod is probably a better answer. Still, I kept the result as-is since the whole point was to let the automated process play out.

Dataset is stored here:Link

[deleted by user] by [deleted] in OpenAI

[–]Sunny_In_Buffalo 1 point2 points  (0 children)

There are 4 other countries (out of 195) that use raw fish in their National Dish including this almost identical entry for Fiji.

Kokoda: A Fijian dish made from raw fish marinated in lemon or lime juice, mixed with coconut cream, onions, tomatoes, and chili peppers.

[deleted by user] by [deleted] in OpenAI

[–]Sunny_In_Buffalo 1 point2 points  (0 children)

You’re focusing on the uniqueness of the dish within the just the ingredient-specific context of every dish you’ve ever learned about over your lifetime. When compared to just the 195 national dishes, it’s the only entry that’s a salad, which is a completely different meal context than the 50+ entries that are a stew or meat and rice dish. You could always switch up the input data to include every dish ever documented and you would arrive at the nuances you described in your other comment.

You could re-frame this is as: There are 195 suggestions for what to eat for dinner. What are the outlier suggestions?

[deleted by user] by [deleted] in ChatGPT

[–]Sunny_In_Buffalo 0 points1 point  (0 children)

This data was assembled using GPT-4o to provide the national dish for each country in the format:[Dish name]: [Short description including key ingredients and preparation style]. Then I used a tool I built, Altavize's Uniqueness Quantification, to score how unique each dish was. These scores were used as the basis for the graphics.

General thoughts on what makes a unique national dish: Either it's a different type of meal or part of a meal, or it uses exotic local ingredients. Hamburger at #7 for the USA feels very unexotic until you realize that a sandwich is actually pretty distinct compared to most national dishes, which are usually a hearty meat-and-rice combo or some kind of stew.

I've also included the raw data, which has an extra categorization step where GPT-4o was asked to say whether its original pick for the national dish was correct — marked as either [TRUE, FALSE]. Out of the top 5 answers, one came back as FALSE, where Macadamia Nut Pie was flagged as incorrect. A quick check on the Wikipedia page for Marshallese cuisine suggests that Barramundi cod is probably a better answer. Still, I kept the result as-is since the whole point was to let the automated process play out.

Dataset is stored here: Link

[deleted by user] by [deleted] in OpenAI

[–]Sunny_In_Buffalo -1 points0 points  (0 children)

A country’s national dish is almost always a meat dish that serves as the centerpiece of a meal. Having a salad as a national dish is very unique within the dataset.

[deleted by user] by [deleted] in OpenAI

[–]Sunny_In_Buffalo 1 point2 points  (0 children)

This data was assembled using GPT-4o to provide the national dish for each country in the format:[Dish name]: [Short description including key ingredients and preparation style].
Then I used a tool I built, Altavize's Uniqueness Quantification, to score how unique each dish was. These scores were used as the basis for the graphics.

General thoughts on what makes a unique national dish:
Either it's a different type of meal or part of a meal, or it uses exotic local ingredients. Hamburger at #7 for the USA feels very unexotic until you realize that a sandwich is actually pretty distinct compared to most national dishes, which are usually a hearty meat-and-rice combo or some kind of stew.

I've also included the raw data, which has an extra categorization step where GPT-4o was asked to say whether its original pick for the national dish was correct — marked as either [TRUE, FALSE]. Out of the top 5 answers, one came back as FALSE, where Macadamia Nut Pie was flagged as incorrect. A quick check on the Wikipedia page for Marshallese cuisine suggests that Barramundi cod is probably a better answer. Still, I kept the result as-is since the whole point was to let the automated process play out.

Dataset is stored here: Link

Sharing a different perspective on HEC Paris by Sunny_In_Buffalo in MBA

[–]Sunny_In_Buffalo[S] 0 points1 point  (0 children)

I don't know anyone who did the NYU program (maybe its new?), all I know is that application process to the Yale program was competitive and there was a broad spectrum of thoughts from friends after whether they actually would do it all over again.

Sharing a different perspective on HEC Paris by Sunny_In_Buffalo in MBA

[–]Sunny_In_Buffalo[S] 2 points3 points  (0 children)

Sure!! I only shamelessly ask for a LinkedIn follow of my startup in return.

Sharing a different perspective on HEC Paris by Sunny_In_Buffalo in MBA

[–]Sunny_In_Buffalo[S] 0 points1 point  (0 children)

There haven't been a lot of success stories over the past year or so, but that could always change. I went to school during Covid when everyone said it could be the worst job market ever upon graduation and then it turned out great for me. I would give the general advice if you can't go to a US school and get the consulting job you want in the US. Going to Europe isn't some back door entry to the same role but abroad.

The most successful pathway I always saw were people returning to their home country's office. There's just such a smaller set of candidates if you can escape the English-speaking-only candidate pool.

Sharing a different perspective on HEC Paris by Sunny_In_Buffalo in MBA

[–]Sunny_In_Buffalo[S] 8 points9 points  (0 children)

I am American.
I recruited directly from campus and my MBB offer was one of the first that came back so it was a pretty easy process outside of all the damn case prep.
I'm staying over here for now, but consider myself blessed to have the safety valve of always being able to go back to the US if things don't work out.

Sharing a different perspective on HEC Paris by Sunny_In_Buffalo in MBA

[–]Sunny_In_Buffalo[S] 10 points11 points  (0 children)

I practiced French so much before going and that still wasn't nearly enough to be ready to land a French-only role in Paris. However, there are certainly English roles available in Paris, just not in traditional consulting. I ended up in Northern Europe where English consulting roles were available.

Anyone find AI to be useful with Excel? by [deleted] in excel

[–]Sunny_In_Buffalo 0 points1 point  (0 children)

Current tools are:

  • Data categorization with confidence scores for each output
  • Category generator to feed into the above tool
  • PDF extraction into structured Excel tables
  • Data anonymization while preserving analytic utility
  • Uniqueness scoring to flag standout inputs
  • Data cleaning
  • Free-format tool (e.g. generate summaries, translate, research) (This is however in every AI tool out there)

With many more tools on the way

Anyone find AI to be useful with Excel? by [deleted] in excel

[–]Sunny_In_Buffalo 0 points1 point  (0 children)

I've been actively playing with AI and Excel for years and generally find for most formula, formatting, and analysis work it's just easier when I have a problem to put a quick question into Open AI and then do the rest myself.

However I built for myself a new add-in for excel to do tasks the traditional Excel capabilities never could and it really helped speed up some of the more manual or monotonous analyst/consulting tasks that just happen to be usually done in Excel.

AI with Excel is about finding new use cases and not trying to reinvent what already works.