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Hi πŸ‘‹, I am Jonas - A Global Health economist with a passion for data science

I am passionate about finding ways to use Python, LLMs, and other technologies to make organisations more efficient

I love economics & econometrics, where I focus on experimental and quasi-experimental causal inference for impact evaluations. I am also fascinated with finding ways to leverage data and technology to generate automations, visualisations, and other insights in organisational settings.

  • 🌎 I am currently based in London
  • πŸ”­ I’m working as a Monitoring & Evaluation consultant on international developemnt projects in Global Health
  • 🌱 I’m currently learning DevOps & AWS IAC
  • πŸ˜„ Pronouns: he/him/his
  • πŸ“« How to reach me: LinkedIn

Have a look at some of my past projects:

πŸ“Š Research:

πŸ”— Software

πŸ–₯️ Web Development

Please see web design my portfolio for an overview of my web development projects.

JonasWeinert's Projects

cv icon cv

Curriculum Vitae compiled using R vitae

destack icon destack

Page builder for Next.js πŸ…§. Zero-config deployment πŸš€. React now supported!

digihuman icon digihuman

Automatic 3D Character animation using Pose Estimation and Landmark Generation techniques

genericml icon genericml

R implementation of Generic Machine Learning Inference (Chernozhukov, Demirer, Duflo and FernΓ‘ndez-Val, 2020).

iehfc icon iehfc

IEHFC - Shiny App for high frequency checks

lataca icon lataca

LocalAutomatedTranscriptionAndContentAnalysis: On device Automatic Speech Recognition & Diarization using fine tuned Whisper small.en as well as Semantic Content Analysis using BART large

ollama icon ollama

Get up and running with Llama 2 and other large language models locally

sahelgraphr icon sahelgraphr

Utility functions for the Sahel Adaptive Social Protection RCT.

seal icon seal

Microsoft SEAL is an easy-to-use and powerful homomorphic encryption library.

sltunet icon sltunet

SLTUNET: A Simple Unified Model for Sign Language Translation (ICLR 2023)

website icon website

forked from mmistakes/minimal-mistakes

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