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@amnamnazar
Data scientist specializing in ML, time-series, NLP, and explainable predictive modeling.
I am a highly adaptable Data Scientist with an MSc in Artificial Intelligence & Robotics, specializing in turning complex, ambiguous datasets into high-impact, actionable business insights. My core strength is demonstrated through my consistent top-rankings on competitive data science platforms like Lunor Quest.
My expertise spans the full lifecycle of Machine Learning and Advanced Analytics, applied across diverse, real-world domains:
Quantitative Finance & Time Series: Secured 2nd Place in the highly competitive FOMC Rate Prediction challenge by developing a robust multi-class ensemble model, integrating advanced feature engineering from economic indicators (FRED) and NLP on FOMC statements.
Environmental & Spatial Analysis: Achieved 3rd Place in the Coral Reef Analysis challenge, applying advanced time-series and spatial analysis to forecast ecological trends.
Public Policy & Business Intelligence: Demonstrated rapid domain mastery by securing 3rd Place in the French Fiscal Challenge, analyzing 40 years of municipal tax data using DuckDB/SQL, despite no prior French language knowledge.
I am highly proficient in Machine Learning (Ensembles: XGBoost, LightGBM), Deep Learning (GNNs, BERT, FastText), Time Series Analysis, NLP, and Python.
My approach is not confined to a single industry. I am driven by a deep curiosity and an ability to quickly assimilate new knowledge—evidenced by exploratory work in other fields like smart contract concepts (Solidity) and game development (GDevelop). I excel at translating sophisticated technical findings (using tools like SHAP for explainability) into clear, client-ready narratives for non-technical stakeholders.
I am eager to apply my versatile skills in environments that value both technical depth and strategic impact, particularly in Fintech, Applied AI Research, or high-stakes consulting engagements.
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Work history, roles, and key accomplishments
Lunor Quest
Mar 2024 - Present (1 year 8 months)
Top-ranked competitor on a global data science platform, delivering ensemble ML and NLP solutions (2nd place FOMC forecast, 3rd place coral reef forecasting) and building explainable, production-ready pipelines using SHAP.
Freelance
Jan 2022 - Aug 2022 (7 months)
Delivered time-series forecasting for livestock management and computer vision defect detection in agriculture, providing data cleaning, EDA, and predictive insights to clients.
Degrees, certifications, and relevant coursework
Master of Science, Artificial Intelligence & Robotics
Completed an MSc in Artificial Intelligence & Robotics with a thesis on community detection using social network embeddings and deep neural network techniques.
Bachelor of Science, Computer Science
Earned a Bachelor of Science in Computer Science focusing on core computer science principles and practical software development.
Software and tools used professionally
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