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**Eyong Divine Besongngem**
213 Lake Forest Trail, Anna TX 75409
Email: besong.divine@yahoo.com
Phone: 947-465-6033
### **Education**
**University of South Alabama**
M.Sc in Electrical Engineering, 2015 | GPA: 3.44
**University of Douala**
B.Sc in Computer Science & Telecommunication/Electronic Engineering, 2010 | GPA: 3.71
### **Technical Skills**
**Programming:** Python, R, SQL, C++, MATLAB, PHP, Perl, SAS, SPSS, PyTorch, TensorFlow, Arcpy, Geopandas
**Cloud & Big Data:** AWS, Azure, GCP, Databricks, Snowflake, Hadoop, Spark, Kafka
**BI & Visualization:** Power BI, Tableau, SSRS, SSAS, SSIS
**Databases:** BigQuery, MySQL, PostgreSQL, Oracle, SQL Server
**CI/CD & DevOps:** GitLab, Terraform, Jenkins, Kubernetes, Docker
### **Work Experience**
**Senior Python Developer & Data Scientist**
*Dell Technologies (2019 – Present)*
- Developed scalable Python/Django microservices, improving efficiency by 60%.
- Built ML models (Scikit-learn, PyTorch) to enhance sales predictions by 25%.
- Designed REST APIs (Flask) handling 1M+ daily requests.
- Led ETL pipelines, increasing data accuracy by 20%.
- Deployed LLM/Generative AI solutions (Transformers, OpenNMT) for NLP tasks.
**Senior Python Developer & Data Scientist**
*Ford Motor Company (2015 – 2019)*
- Engineered Python-based web apps (Django, jQuery) driving 24% sales growth.
- Optimized Mercurial SCM, resolving 200+ performance bottlenecks.
- Developed churn/LTV models using funnel analysis and marketing data.
- Mentored data teams in ML deployment and statistical modeling.
**Data Scientist**
*Harley-Davidson (2010 – 2015)*
- Analyzed energy/financial data for demand forecasting and pricing models.
- Automated data pipelines and visualized insights for stakeholder decision-making.
- Led cross-functional projects in predictive analytics and IoT data integration.
### **Leadership**
- Senator, National Society of Black Engineers (NSBE)
- Member, IEEE & Society of Women in Engineering
### **Languages**
- Fluent: English, French (Native)
*(Formatted for clarity and conciseness while retaining key details.)*
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