Cv
Curriculum Vitae
Personal Information
Name: Harold Nikoue
Email: h.a.nikoue@gmail.com
Location: Atlanta, GA LinkedIn: linkedin.com/in/harold-nikoue
GitHub: github.com/Haroldinho —
Headline
Bridging Aerospace Engineering & Data Science | ML, Analytics, Python | Turning Data Into Impact
Profile
Aerospace Engineer and Data Scientist with a proven track record of applying statistical modeling, machine learning, and AI to deliver impactful solutions in transportation, demand forecasting, slot scheduling, and video/caption processing. Known for quickly adapting to evolving goals, thriving in fast-paced environments, and collaborating across disciplines to turn complex challenges into actionable results. Committed to continuous learning and innovation.
Professional Experience
Warner Bros. Discovery | Atlanta, GA, USA Senior Data Scientist May 2020 - Present
- Spearheaded the development of an ML tool to automatically update caption positions based on essential actions.
- Established launch metrics for CaptionAI, working closely with product managers and stakeholders.
- Implemented a reporting system using BigQuery and custom dashboards, tracking over $100k in cost savings within the first 3 months.
- Led development of an ML-based block positioning tool, improving F1 score from 48% to 70%.
- Deployed VertexAI inference and prediction pipelines for the block positioning solution.
- Collaborated with the ML team to bring the solution to production and established steps for continuous experimentation and improvements in the GCP ecosystem.
- Mentored a summer intern, ideating and scoping their project, which resulted in investment into internal research for speaker diarization.
- Maintained production ad-scheduling mixed integer linear programming codes in CPLEX, supporting millions of dollars in revenue.
- Reduced forecasting error by 30% by updating a suite of audience forecasting tools to use XGBoost and more appropriate seasonalities.
- Evaluated third-party data integrity, facilitating vendor selection within 3 months.
- Developed Gaussian Mixture Models for short-term targeted forecasting.
- Facilitated the Data Science Summit across AT&T and WarnerMedia.
Airbus | Hamburg, Germany Data Scientist Sep 2018 - Nov 2021
- Developed and implemented machine learning algorithms for predictive maintenance and operational efficiency in aircraft manufacturing.
- Performed data analysis and visualization to identify trends and insights from large datasets.
- Contributed to the development of a data analytics platform for the A320 family program.
Education
PhD in Aerospace Engineering Georgia Institute of Technology | Atlanta, GA 2021
MS in Operations Research Georgia Institute of Technology | Atlanta, GA 2018 - 2020
MS in Aerospace Engineering Georgia Institute of Technology | Atlanta, GA 2012 - 2013
BS in Aerospace Engineering Georgia Institute of Technology | Atlanta, GA 2008 - 2011
Skills
| Category | Skills |
|---|---|
| AI/ML | Deep Learning (Pytorch), NLP (SpaCy), Computer Vision, Anomaly Detection, Predictive Modeling |
| Data Science | Pandas, NumPy, Scikit-learn, Kubeflow, Visualization (Streamlit, Plotly) |
| Programming | Python, SQL, C++, MATLAB, Bash |
| Cloud | AWS, Azure, Google Cloud Platform |
| Soft Skills | Team Leadership, Project Management, Communication, Problem Solving |
Certifications
Research Projects
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