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Hi there 👋

About Me:

Passionate junior software engineer specializing in AI/ML and data science. Equipped with a strong academic background and hands-on experience building intelligent systems. Committed to staying at the forefront of this rapidly advancing field through continuous learning.

Always exploring new AI techniques and applications to develop innovative solutions that drive growth and solve complex real-world problems. Open to collaboration on impactful projects!

Let's build the future of AI together! ✨

Interned at JPMorgan Chase & Co., Pypestream, and MyPhoto.

MCU Superfan.

You can check out my Linkedin profile here: https://www.linkedin.com/in/david-lifschitz/

David Lifschitz's Projects

islr-python icon islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

malloc-lab-2 icon malloc-lab-2

CSAPP Malloc-lab: 91% performance index, my own dynamic memory allocator in C.

team-gold icon team-gold

Our team (consisting of Judah Levy, David Lifschitz, Sam Drazin, and Yaakov Bienstock under the guidance of Dr. Aliza Heching) built a tool for stock analysis and selection using publicly available data sets such as 13F filings, Yahoo Finance, and SEC filings. The project required the gathering, cleaning, and combining of data from the data sources. The consolidated data is then analyzed to provide the end user with insight to support stock selection decision-making. The tool is designed so that data and analysis can be easily updated by the end user as data refreshes become available.

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