
Experienced data-driven and production-ready system developer in the enterprise environment over seven years of experience in machine learning and NLP engineering. Well versed in Python, applied machine learning, natural language processing and data pipeline development and has practical experience propping up model development, evaluation, and deployment processes. Proven ability to use cloud platform, apply CI / CD pipelines and monitoring production, and is in the year of placement of a Master of Science in Data Science at Middlesex University, studying applied artificial intelligence, natural language processes, and machine learning systems in practice.
Programming & Frameworks:
Python, Django, React, SQL
Data Analysis & ML:
Statistical Modelling, Machine Learning, Natural Language Processing (NLP), Data Visualisation, Data Pipelines
Libraries & Big Data:
Pandas, NumPy, Matplotlib, PySpark
BI & Analytics Tools:
Tableau, Alteryx
Cloud & DevOps:
Microsoft Azure, Docker, CI/CD Pipelines
Web Technologies:
HTML, CSS, Bootstrap
Tools & Platforms:
Git, JIRA
Professional Skills:
Team Mentoring, Communication, Problem-Solving, Stakeholder Collaboration