Summary
Enoch Kumala is a Data Analytics Software Engineer with a decade of professional experience and four years focused on data science and full‑stack development, currently building financial analytics tools at Lazard in the Denver area. He blends frontend (React, Vue) and backend (Flask, Python, Java) skills with cloud-native practices—Docker, Kubernetes, Azure Blob Storage—and practical data engineering patterns like Parquet-backed pipelines. His work spans production ML (TensorFlow anomaly and NLP models), interactive cost and event analytics (Streamlit), and integrating heterogeneous financial datasets for M&A research. Prior internships at AWS Translate and ChildPlus show a history of shipping robust, service-oriented features (document batch translation, web app migrations). Comfortable moving between research-quality models and maintainable engineering, he’s equally at home optimizing data pipelines as building user-facing analytics.
10 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Georgia Institute of Technology