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Eon-Labs KB

Data Scientist / Applied Scientist Candidates

Source: Notion | Last edited: 2025-03-10 | ID: aa8b4969-d6e...

Email/Message

Dear Hiring Manager, I am writing to express my interest in the Applied Scientist position at Eon Labs Ltd. My name is Nate, and I am a recent graduate with a Master of Data Science from the University of British Columbia. With over 9 years of experience in machine learning, data analytics, and AI adoption, particularly interested in finance, I am excited about the opportunity to contribute to your innovative fintech startup. Throughout my career, I have successfully leveraged applied machine learning and data analytics to drive significant cost savings and profitability, amounting to over $15.37 million. My expertise includes developing and optimizing machine learning models for non-stationary financial indexes, such as crude oil (Brent, WTI), petrochemical products (Naphtha, LPG, Ethylene, Propylene, Benzene), and stock prices (S&P500, SET). I possess a deep understanding of financial markets and excel at translating complex challenges into high-impact solutions. I earned my Master of Data Science from the University of British Columbia, graduating in June 2023 with a GPA of 3.90. Through the UBC Master of Data Science program, I gained extensive knowledge in machine learning and statistics, including Supervised Learning, Unsupervised Learning, Feature Engineering and Feature Selection, Time-Series Forecasting and Analysis, Regression Analysis, Deep Learning, Statistical Inference, and Databases. Improving and optimizing machine learning models always intrigued me, and this interest was a primary reason I pursued the MDS program. I spent considerable time discussing these topics with professors during office hours and labs, learning several technical skills for analyzing and improving machine learning models, particularly in forecasting. With all of these skills, I aim to apply them to solve business problems and drive robust business decisions. For more details on my work, please visit my data science portfolio at www.nate-ds.com, where I showcase my projects and related expertise and ML expertise. I hold several certifications: • Machine Learning for Trading Specialization from the New York Institute of Finance • Financial Engineering and Risk Management Specialization from Columbia University • Guided Tour of Machine Learning in Finance from New York University • Machine Learning Engineering for Production (MLOps) Specialization from DeepLearning.AI • Machine Learning Operations (MLOps): Getting Started from Google Cloud I am proficient in programming languages such as Python (Pandas, NumPy, scikit-learn, PyTorch, TensorFlow, OpenCV), R, Matlab, and C/C++. My technical skills include regression, classification, clustering, time-series forecasting, NLP, deep learning, and generative AI. I have experience with databases like SQL, PostgreSQL, No-SQL, and MongoDB, and platforms including AWS, MS Azure, GCP, Spark, Tableau, and PowerBI. My project management skills encompass Agile methodologies, design thinking, problem-solving, and maintaining a goal-oriented mindset. Finance-Related Projects Forecasting Projects:** I have extensive experience building forecasting models for various non-stationary indices, including crude oil (Brent, WTI), petrochemical products (Naphtha, LPG, Ethylene, Propylene, Benzene), stock prices and indexes (SET, SCG, PTT, PTTEP, APPL, MSFT, S&P500), and intermittent demand forecasting. I employed several machine learning models, such as classical time-series forecasting (ARIMA, SARIMA), traditional machine learning models (RandomForest, XGB, LGBM, CatBoost), and neural network models (LSTM). I utilized various features, including financial domain features, market positions, economic signals, seasonality, technical indicators, and market sentiment. Feature selection techniques (Correlation, Boruta, SHAP) and hyperparameter tuning methods (GridSearch, RandomizedSearch, Bayesian Optimization) were applied to ensure optimal model performance. Reinforcement Learning:**** I developed a reinforcement learning model using Q-learning to trade the non-liquidity index of Benzene. This involved constructing simulated prices from historical data using geometric Brownian motion and Ornstein-Uhlenbeck processes. Hedging Optimization:**** I forecasted product prices, calculated Value-At-Risk (VaR), and optimized hedging models for products and positions, resulting in significant cost savings. Eon Labs Ltd.’s focus on innovative quantitative trading systems and a collaborative, dynamic environment aligns perfectly with my career aspirations and expertise. The opportunity to directly influence trading strategies and the unique incentive structure are particularly appealing. I am confident that my background in machine learning and data science, combined with my passion for finance, make me a strong fit for your team. Thank you for considering my application. I am eager to discuss how my skills and experiences align with the needs of Eon Labs Ltd. and how I can contribute to driving the global financial market towards full efficiency. Warm regards, Nate Puangpanbut P.S. Eon Innovates**

Email/Message

Dear Terry,

I hope you are doing well.

You may recall that we had a quick chat a few months back about the algo trading role you were advertising. Since then I have been diving deeply on time series analysis and forecasting to develop some background on common ML methods used in financial time series data. I am very much interested in the applied Scientist role you are advertising which I believe fits well with my background.

I also applied through linkedin but since we had interaction before, I wanted to personally reach out to you.

I am attaching my updated resume where you can find some projects I have been working on and my publication profile.

And of course: “P.S. Eon Innovates” :)

Best wishes,

Ogan Ozsoy, PhD

Email/Message

Dear Hiring Team,

I am writing to express my interest in the Data Scientist/Machine Learning Engineer position at Eon Labs Ltd. as advertised. With a strong background in machine learning, I am excited about the opportunity to contribute to your innovative team and drive the financial market toward full efficiency.

I hold a Ph.D. degree in Electrical and Computer Engineering from Concordia University, where I specialize in machine learning and quantitative analysis. I have a robust understanding of Python, TensorFlow, and PyTorch, and have successfully implemented several research papers for different applications.

I am particularly drawn to Eon Labs’ commitment to fostering innovation and the unique incentive structure that rewards the contributions of its team members. The dynamic and collaborative environment at Eon Labs aligns perfectly with my professional goals and values.

Please find my resume including my publications referenced. I would be thrilled to further discuss how my skills and experiences align with the goals of your team. Thank you for considering my application.

P.S. Eon Innovates.

Best regards,

Mohammed Ali