train_pipeline.py
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University of Science & Technology
Unlocking patterns in high-dimensional noise.
Hi, I'm Alex Carter. Senior Data Science student specializing in predictive modeling, deep learning, and interactive analytics dashboards.
3.92/4.00GPA
24M+ RowsDatasets Analyzed
15+ML Models Shipped
3Hackathon Wins
01 // Student Profile
Academic Journey
A senior Data Science student passionate about predictive modeling, deep learning, and translating complex, high-dimensional datasets into actionable narratives. Experienced in developing scalable machine learning models and engineering end-to-end data pipelines.
B.S. in Data Science & Business Analytics (Senior)
GPA: 3.92 / 4.00
Dubai, UAE
Available for worldwide roles
Core Coursework
DS-40102 // Research Portfolio
Selected Data Sandboxes
Active Sandbox
PythonPyTorchPandas
Smart Grid Energy Load Forecasting
Developed a Bidirectional LSTM recurrent neural network model to predict municipal energy demand. The model allows power grids to preemptively allocate resources, reducing load-shedding incidents by 14.2%.
MAPE Accuracy
96.6%
Latency
18ms
Feature count
42 indicators
ANALYST_FINDINGS:
•Achieved a Mean Absolute Percentage Error (MAPE) of 3.4% on hold-out test datasets.
•Identified seasonal drift patterns in HVAC load spikes during extreme temperature anomalies.
•Engineered automated pipelines to ingest real-time weather API and grid frequency inputs.
visualizer_console_outputChart: LINE
03 // Tech Stack
Competency Matrix
Programming & Queries
Machine Learning & AI
Data Tools & Platforms
Feature Inspector
Python
Confidence Interval:95%
NoviceCompetentExpert
SUMMARY_STAT:
Primary language for model development, data manipulation, and scripting.
04 // Practical Training
Experience Timeline
FinTech CorpMay 2025 - August 2025
Data Science Intern
- Engineered credit default classification models using XGBoost, improving predictive F1-score by 3.8% over the legacy scoring model.
- Optimized data preprocessing SQL queries in Snowflake, reducing model ingestion runtime by 35%.
- Collaborated with risk analysts to deploy the model output directly into an internal credit approval dashboard.
University Dept of Computer ScienceSept 2024 - Present
Research Assistant (Data Science Lab)
- Curated, standardized, and clean-processed genomic sequencing datasets exceeding 12TB utilizing Spark cluster configurations.
- Co-authored a paper on genetic anomaly grouping using spectral clustering algorithms (currently under peer review).
- Created automated Cron-scheduled backup and validation scripts for MySQL department databases.
University Academic Success CenterJan 2023 - May 2024
Statistics & Probability Tutor
- Tutored 60+ undergraduate students weekly in introductory statistics, linear algebra, and R statistical programming.
- Created interactive Jupyter notebook worksheets to visually explain regression assumptions and the Central Limit Theorem.
05 // Credentials
Verified Accomplishments
verified_credential_keyACTIVE
06 // Connect