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jennajiali/README.md

Hi, I'm Jenna πŸ‘‹

Statistics graduate from University College London with First-Class Honours. My interests lie in statistics, machine learning, and software engineering. I recently contributed to the open-source R package rmcmc, which provides tools for comparing robust Markov chain Monte Carlo methods used in Bayesian deep learning, under the supervision of Dr Samuel Livingstone and Dr Matthew Graham. I am now working as a Data Engineer in the financial services sector in London, where I support commodities traders and quantitative researchers.


πŸ›  Tech Stack

πŸ’» Programming & Scripting

βš™οΈ Data Engineering & Processing

πŸ—„ Databases

☁️ Cloud & DevOps

πŸ“Š Tools & Environments


πŸ“š Libraries & Frameworks

🐍 Python: NumPy β€’ Pandas β€’ SciPy β€’ Matplotlib β€’ Seaborn β€’ Scikit-Learn β€’ statsmodels β€’ TensorFlow β€’ Jupyter

πŸ“Š R: tidyverse (dplyr, tidyr) β€’ ggplot2 β€’ data.table β€’ glmnet β€’ MASS β€’ devtools β€’ tseries β€’ survival β€’ rmcmc


✨ Always open to interesting conversations and collaborations.

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  1. dance-studio dance-studio Public

    Django-based dance studio management system.

    Python 2

  2. ThemePark_Simulation_using_OOP ThemePark_Simulation_using_OOP Public

    Simulates the operations of a theme park with randomly generated data from presumed probability distributions. Useful for analysis of customer behavior, ride usage, and overall park performance.

    Python

  3. agentverse-hackathon agentverse-hackathon Public

    Forked from ShawnNotFound/agentverse-hackathon

    An Agentic AI Solution for Cross Collaboration and Breaking Down Silos

    Python 1

  4. climate-change-hackathon climate-change-hackathon Public

    Interactive and visual forecasts of climate change data through machine learning and time-series analysis

    TypeScript 1 1

  5. UCL/rmcmc UCL/rmcmc Public

    Robust Markov chain Monte Carlo methods in R

    R 8 8

  6. rmcmc rmcmc Public

    Forked from UCL/rmcmc

    Robust Markov chain Monte Carlo methods in R

    R