Firas Obeid

Firas Obeid Email and Phone Number

Financial NLP, Textual Analysis and Language Modelling Course Development @ Undisclosed
Ann Arbor, MI, US
Firas Obeid's Location
United States, United States
Firas Obeid's Contact Details

Firas Obeid work email

Firas Obeid personal email

n/a
About Firas Obeid

A senior data scientist at OppFi, a leading fintech platform that empowers consumers to access credit. With over four years of experience in data science and financial engineering, I develop and research new methodologies for credit risk modeling and explainability, as well as tools for robust model development, data profiling, and model monitoring.Currently I instruct at ASU's AI & ML bootcamps, covering python for machine & deep earning as well as LLM agents development. Previously, I was the fintech instructor at UC Berkeley, where I lead three fintech boot camps for working professionals, covering topics such as finance, programming, data analysis, machine learning, and blockchain. I helped students deliver MVP and prototype projects deployed on cloud-based services, using cutting-edge technologies and frameworks. I have researched, developed and trained my first language model (10million parameters) back in 2020 at a fintech trading startup by pretraining news headlines re-generation (semi-supervised learning) and fine-tuning the learned embeddings for event driven trading. This research and prototype was self- learned and mentored back when language modelling was restricted to research labs solely.My background comes from institutional banking operations in FX market making and treasury operations and thus well versed in different disciplines.“The only source of knowledge is experience." — Albert Einstein

Firas Obeid's Current Company Details
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Financial NLP, Textual Analysis and Language Modelling Course Development
Ann Arbor, MI, US
Firas Obeid Work Experience Details
  • Undisclosed
    Financial Nlp, Textual Analysis And Language Modelling Course Development
    Undisclosed
    Ann Arbor, Mi, Us
    View
  • Oppfi
    Senior Data Scientist
    Oppfi Apr 2024 - Present
    Chicago, Il, Us
    View
  • Oppfi
    Data Scientist
    Oppfi Jul 2022 - Apr 2024
    Chicago, Il, Us
    Data Science & Modelling Credit Risk Team- Developing and researching new mythologies for model explainabilty frameworks- Developing tools for our data science and strategy team for robust model development, data granular profiling and model monitoring:Open sourced the following data science tools: https://huggingface.co/spaces/firobeid/Feature_Profilling_BiVarChartshttps://huggingface.co/spaces/firobeid/ML_Model_Metrics(Limited commercial license)- Developed modelling teams' toolbox scripts/dashboards: feature and model monitors, drift testing using adversarial validation, feature profiling our target variable in equal populations and equal intervals.- Developed our feature selection algorithm ( an iterative process with two pieces of logic pertaining the ML platforms feature impact calculation)- Model full life cycle: development, testing and monitoring
    View
  • Arizona State University
    Ai Bootcamp Instructor
    Arizona State University Nov 2023 - Present
    Tempe, Az, Us
    Lead the first ever Artificial Intelligence bootcamp at ASU tailored towards equipping working professionals with Python, Unsupervised and Supervised Machine Learning, Transformers, Natural Language Processing, AI Applications, Time Series Forecasting, and AI & Data Ethics.Lead students to develop AI applications such as EDA agents, mps/video meeting summarizer, medical detection applications:- Meeting Summarizer: https://ai-project-3-meeting-summarizer-rttvfhl39dwghbbhc4ywan.streamlit.app/- EDA Agent: https://cgdproject3.streamlit.app/- Multi-Lingual Skin Cancer Detection: https://huggingface.co/spaces/kkruel/skin_cancer_detection_ai
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  • 2U
    Senior Data Science & Fintech Tutor
    2U Jul 2021 - Aug 2024
    Arlington, Virginia, Us
    800+ 1-on-1 sessions with industry professionals all over US and Australia to deliver data science, visualization and financial technology tools for industry application and career development. Led students to deliver MVP and prototypes projects deployed on cloud based services, for example:- https://house-price-wizard.herokuapp.com/- https://nedalprofile.herokuapp.com/- https://share.streamlit.io/sjufan84/esg_clustering/main/streamlit_main.py- https://covidappproject.herokuapp.com/- https://www.youtube.com/watch?v=Krq2-CeDmzA
    View
  • 2U
    Financial Technology Tutor
    2U May 2021 - Jul 2021
    Arlington, Virginia, Us
    - Financial Fundamentals in Time-Series Analysis, Financial Ratios, and Financial Analysis- Python 3, Pandas, MAtplotlib, API Interactions, and JupyterLab- Financial libraries and Tools like NumPy, SciPy, and Quantopian- Execution Algorithms, Monte Carlo Simulations, Risk-Data Aggregation, Forecasting, Financial Modeling, Modern Portfolio Theory, and Logistic Regression- Machine Learning using Algorithmic Trading, Random Forests, k-Nearest Neighbor (kNN), Support Z Vector Machines (SVM), Linear Regression, and Scikit-learn- Blockchain and Cryptocurrency experience in Solidity, Ethereum, Consensus Algorithms, Transactions, Validation, Distributed Ledger, Bitcoin, Mining and dApps.
    View
  • 2U
    Data Science Ta - Michigan State University
    2U Jan 2021 - Jul 2021
    Arlington, Virginia, Us
    - Data science, latest technologies and visualization bootcamp - Advanced Statistics with Data Analytics with Python, Numpy, Pandas, and Matplotlib- SQL/NoSQL and Database management (ETL)- Machine Learning- Big Data- R- Web technologies and Scraping (JavaScript-html-flask frameworks)
    View
  • Higheru
    Chief Research Officer (Cro)
    Higheru May 2023 - Mar 2024
    Plano, Texas, Us
    My previous experience in 2020 in developing my first language model (10 million parameters) from pretraining to fine tuning for an event driven trading project (found in project section of my profile), has led me to take on the development of an LLM in the educational and training spectrum at HigherU.At HigherU, we are developing a pretrained foundational model (a learning as a service as per say) that is adapted from another open source existing LLM (for a warm start point) but we are adapting our LLM to a domain specific universe, which is education, learning and training. Our LLM objective, is to learn to reason in the educational/learning/training universe of tokens and be able to reason in the linguistics of an educator/trainer. This facilitates fine tuning on downstream tasks (i.e Q/A, content generation) and even finetuning in specialized subjects (i.e Data Science, onboarding an employee, physics class, corporate training...)
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  • University Of California, Berkeley
    Fintech Bootcamp Instructor
    University Of California, Berkeley Sep 2022 - Dec 2023
    Berkeley, Ca, Us
    Lead 3 x FinTech Boot Camps for working professionals, simultaneously, at UC Berkeley that take a multidisciplinary approach to finance, fundamental programming, data analysis, financial machine learning and modern tools in cryptocurrency and blockchain.Curriculum: https://bootcamp.berkeley.edu/fintech/curriculum/Personal Web App/Lectures: https://firobeid.github.io/compose-plots/script.htmlTeaching Innovations: https://github.com/firobeid/Educator_Conference_2023/tree/main-The University of California, Berkeley, is accredited by the Western Association of Schools and Colleges (WASC). UC Berkeley Extension—like all other UC Berkeley schools, colleges and departments—is accredited by WASC through the University.
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  • Pwc
    Financial Modeling Analytics Exp. Associate
    Pwc Jul 2021 - Jun 2022
    Gb
    Experienced Associate in the US Risk Analytics and Modeling team, applying quantitative, modeling and analytical skills in a real world environment to develop or validate statistical and AI/machine learning models in the areas of credit risk, market risk, assets and liabilities management, fraud detection, anti money laundering and other functional modeling and analytics area.● Deployed on financial derivatives valuations, model review and python parsing script development throughout my time with the analytics team.
    View
  • Algopear
    Quant
    Algopear Jul 2020 - Feb 2021
    Dallas, Texas, Us
    ● Researched Deep learning applications for NLP to develop language model that regenerates financial news headlines for transfer learning. ● Built/developed byte level language model (10 mullion parameters) using semi supervised learning of self trained embeddings for multi-time horizon news classification on EC2 using Keras APIResults: https://github.com/firobeid/DeepLearningProjects/tree/main/LanguageModels_NewsHeadlines(USequities)● Developed and maintained python automation scripts to update PostgreSQL on aws cloud for the start up's asset prices update from various APIs (i.e Refinitiv Eikon)Technologies and Tools that where acquired:Tensorflow - Language modelling - AWS(S3-EC2) - Hierarchical Data Format version 5 (HDF5) - PostgresSQL - Eikons' Python API - LSTM - Distributed learning
    View
  • Meab Bank
    Treasury,Fx & Capital Markets Dealer
    Meab Bank May 2017 - Jun 2018
    Beirut, Lb
    Registered treasury dealer (Market Maker) in the financial markets association (ACI-Lebanon). - Managed Banks’s Dealing Room (Trading Desk) activities that served 20 branches , seasonally, when chief dealer was out of the office.Results: Maintained on average a daily profit of $10,000 from FX and FX derivatives deals. - Placed and executed FX & FX derivatives (mainly currency swaps and forwards), futures(Euro, Spot & Mini gold, silver contracts), money/capital markets trades, overnight loans at prime rates- Authorized and managed paper cash in vaults transactions with on avg $1mio daily allocations.- Maintained banks reserve requirements with the Central Bank
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  • Meab Bank
    Assistant Treasury Dealer
    Meab Bank Apr 2016 - Apr 2017
    Beirut, Lb
    Treasury Department / Dealing Room / Cash CenterPlaced and executed FX & FX derrivatives, futures, money and capital markets deals.Authorized and managed cash in vaults transactions.
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  • Meab Bank
    Treasury Officer
    Meab Bank Mar 2015 - Mar 2016
    Beirut, Lb
    Back Office Treasury Department-Checked, data entry and followed up on daily transactions (FX, Capital & Money Market).-Reconciled custodian and customer portfolios.-Booked and recorded daily transactions executed by the dealing room.-Sent swift messaging to counterparts to confirm and settle deals.
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  • Lebanese American University
    Fitness Center Night Supervisor
    Lebanese American University Aug 2012 - Jun 2018
    Beirut, Lb
    -Competed and represented Lebanon and the Lebanese American University at Las Vegas in the WBFF 2014 fitness world championships -Proposed, Initiated and Organized two Annual Strongest Athlete events on campus for students and alumnus (i.e attached images)-Organized a Seminar on the impact of exercising on academics performance keynoted by a bodybuilding world champion-Supervised , part time, the Night Shift at LAU Fitness Center -Ensured safety of Students/ Staff /Faculty
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Firas Obeid Skills

Leadership Pandas R Amazon Web Services Public Speaking Design Patterns Human Resources Eikom Data Api Financial Modeling Data Analysis Tensorflow Capital Markets Derivatives Long Short Term Memory R (Programming Language Team Leadership Treasury Management Market Making Algorithmic Trading Money Market Html Metatrader Microsoft Office Stata Microsoft Word Bloomberg Terminal Fx Options Foreign Exchange Trading Gpu Hdf5 Time Management Thomson Reuters Eikon Business Intelligence Pipelines Treasury Back Office Quantitative Finance Sql Python Language Modeling Teamwork Management Trading Machine Learning Equity Derivatives

Firas Obeid Education Details

  • The University Of Texas At Dallas
    The University Of Texas At Dallas
    Financial Engineering & Risk Management
  • Lebanese American University
    Lebanese American University
    And Securities Law
  • Lebanese American University
    Lebanese American University
    Health And Physical Education/Fitness

Frequently Asked Questions about Firas Obeid

What company does Firas Obeid work for?

Firas Obeid works for Undisclosed

What is Firas Obeid's role at the current company?

Firas Obeid's current role is Financial NLP, Textual Analysis and Language Modelling Course Development.

What is Firas Obeid's email address?

Firas Obeid's email address is fo****@****ans.com

What schools did Firas Obeid attend?

Firas Obeid attended The University Of Texas At Dallas, Lebanese American University, Lebanese American University.

What skills is Firas Obeid known for?

Firas Obeid has skills like Leadership, Pandas, R, Amazon Web Services, Public Speaking, Design Patterns, Human Resources, Eikom Data Api, Financial Modeling, Data Analysis, Tensorflow, Capital Markets.

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