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AI is analyzing your overall score…
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
techfanatics
Data Scientist
June 20, 2026 – Present
coreforecast
October 5, 2023 – Present
Fast implementations of common forecasting routines
View Projectutilsforecast
August 17, 2023 – Present
Helper functions to plot, evaluate, preprocess and engineer features for forecasting
View Projecthierarchicalforecast
June 21, 2022 – Present
Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
View Projectwrites-like-you
March 7, 2022 – March 17, 2024
fine-tune an LLM to mimic your writing style
View Projectstatsforecast
November 24, 2021 – Present
Lightning ⚡️ fast forecasting with statistical and econometric models.
View Projectnixtla
September 23, 2021 – Present
TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.
View Projectmlforecast
April 26, 2021 – Present
Scalable machine 🤖 learning for time series forecasting.
View Projectneuralforecast
April 26, 2021 – Present
Scalable and user friendly neural :brain: forecasting algorithms.
View ProjectCultural Fit Analysis
The candidate's projects are heavily concentrated on time series forecasting and related machine learning, indicating a deep specialization. While this aligns well with a Data Scientist role focused on predictive modeling, the lack of diversity in project domains (e.g., NLP, computer vision, general analytics, A/B testing) suggests a potentially narrow scope of experience for broader data science roles. All listed projects are personal, which might indicate strong self-motivation but lacks insight into collaborative work environments.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's profile primarily highlights technical project contributions.