abrefeld

  Location: Denver, Colorado (greater metro)
  Remote: In-person with hybrid flexibility strongly preferred. Remote for the right team. 
  Willing to relocate: No
  Technologies: Python (7 years of Pandas, NumPy, NLTK, Pillow, etc), Django + PostgreSQL + HTMX, good 'ol fashioned ML and statistical modeling, VBA (unfortunately)
  Résumé/CV: Happy to share upon request
  Email: ulr6n3g3 at anonaddy.me

Hi HN, I help firms increase their bottom line through my finance / math background and MacGyver data analytics approach to problem solving. My experience includes finance & trading, healthcare, the Rubik's Cube, and some time in grad school where I mostly built custom NLP models and generated fractals instead of grading papers.

I've discovered and implemented profitable trading strategies, saved weeks of C-suite time by automating boutique financial reporting, and built a Python app that saved the company from buying some $500k software. Each of my tech skills are self taught because they've helped me solve specific problems I've found at the firms I've been part of (or because they were a fun way to spend nights and weekends).

I'm interested in joining a team working on intellectually stimulating projects. (Consulting / contracting for the right opportunity.) Reach out if you think we could work well together and I'd love to meet up for coffee. More about me on my website (in profile).

I’ve always loved this example. I implemented the Monte Carlo pi estimation on a LEGO Mindstorms NXT back in high school. Totally sparked my interest in programming, simulations, etc. Also the NXT’s drag-and-drop, flowchart programming interface was actually a great intro to programming logic. Made it really easy to learn real programming in later on.

Data science / finance / full-stack | Python (6+ years) | Full-time | In-Person / Hybrid

  Location: Denver, Colorado (greater metro area)
  Remote: Yes, for the right team. Prefer time in person. 
  Willing to relocate: No
  Technologies: 
  - Python: Pandas, Numpy, Scipy, Django, Natural Language Toolkit, SQLAlchemy, Pytorch, Pillow, Airflow
  - DB: PostgreSQL, MS-SQL, TimescaleDB, SQLite
  - Full-stack: Django, HTMX, JavaScript, Bootstrap
  Résumé/CV: Happy to share upon request
  Email: hnjobs [at] abrefeld.anonaddy.com

Hi everyone, I'm Alex, a data scientist / quantitative financial analyst with 6 years of Python experience and full-stack skills.

- 2 years as a trader and quant analyst market making in ETFs. My Python apps managed millions of shares and my research cut $100k's in costs

- A year as a full-stack solo dev building web apps (Django, JavaScript, HTMX, Bootstrap, etc)

- Built a Natural Language Processing (NLP) pipeline, automating a finance journal's submission process

- BA in Mathematics, Master's in Finance

If you're working on challenging projects in data science / finance, let's chat!

https://alexbrefeld.com | https://github.com/alex-b1729 | https://www.linkedin.com/in/alexander-brefeld/

Just fyi I see the href for all links to users, post times, "hide", and comments as:

    javascript:throw new Error('React has blocked a javascript: URL as a security precaution.')

I'm on LibreWolf136.0.4-1 with UBlockOrigin. I suspect I should be able to click these and see content?

> If you know your metric longitude, you know the local time shift, and vice versa.

I've also thought that setting time using longitude could make sense. Especially since I and many people tell time, schedule meetings, etc using a device with a GPS. This article [0] makes an interesting point about the effect that time shift based on longitude would have on computers in the same data center.

> At the equator, the position directly underneath the mean Sun travels west at about 463 metres per second. That means a standard rack unit is about one millisecond wide. ... So, strictly speaking, continuous time zones mean that clocks on machines in different parts of the same data centre — neighbouring racks, even — will need to be set to different times, depending on the exact positions of those racks.

It concludes that you would have to choose a single reference point to represent the time of a machine and that:

> We might even consider applying this consistency across all machines in any given data centre. This would simplify tasks such as e.g. collating accurately timestamped log entries from multiple machines. We would ignore the real longitudes of the various machines and set all of their clocks to the same local time. The interior of the facility would become an area of uniform time; a "time zone", as it were.

[0]: https://qntm.org/continuous#sec1

Data science / finance | Python (6+ years) | Looking for full-time | In-Person / Hybrid

  Location: Denver, Colorado (greater metro area)
  Remote: Yes, for the right team. Prefer time in person. 
  Willing to relocate: No
  Technologies: 
  - Python: Pandas, Numpy, Scipy, Django, Natural Language Toolkit, SQLAlchemy, Pytorch, Pillow, Airflow
  - DB: PostgreSQL, MS-SQL, TimescaleDB, SQLite
  - Full-stack: Django, JavaScript, Bootstrap, CSS
  - Tableau, Advanced Excel, VBA
  Résumé/CV: Happy to share upon request
  Email: hnjobs [at] abrefeld.anonaddy.com

Hi everyone, I'm Alex, a data scientist / quantitative financial analyst with 6 years of Python experience and full-stack skills.

- 2 years as a trader and quant analyst market making in ETFs. My Python apps managed millions of shares and my research cut $100k's in costs.

- A year as a full-stack solo dev building web apps (Django, JavaScript, Bootstrap, etc). My MinimalistBookJournal app (https://github.com/alex-b1729/bookjournal) combines my interests in reading, journaling, and minimal web interfaces.

- Built a Natural Language Processing (NLP) pipeline, automating a finance journal's submission process.

- BA in Mathematics, Master's in Finance

If you're working on challenging projects in data science / finance, let's chat!

https://alexbrefeld.com | https://github.com/alex-b1729

Also had this issue in LibreWolf on macOS. Updating the browser fixed things for me.

  brew install --force --cask librewolf

p5.js is a JavaScript library that I've enjoyed messing with. It's related to Processing.

https://p5js.org/