I am a Data Engineer with strong Analytics background who specialises in building reliable, automated
data systems at enterprise scale. My work sits at the intersection of
engineering and insight — I don't just move data, I make it useful.
At Capital One I engineered Databricks and PySpark pipelines for cybersecurity
controls monitoring, cutting execution time by 25% and replacing manual audit
workflows with real-time dashboards. At ThreatModeler I built a first-of-its-kind
NLP engine achieving 85% precision in vulnerability prediction — and completed
IBM's Apache Spark ML certification building end-to-end distributed ML pipelines
using MLlib, Prophet time-series forecasting and Random Forest models.
Outside work I build data visualisations published on Tableau Public, solve SQL
challenges on LeetCode, and ship open-source data projects on GitHub.
I'm currently open to full-time Data Analyst, Data Engineer and AI/ML
Engineer roles — remote, hybrid or onsite anywhere in the US.
Cloud & Warehousing
Snowflake
Databricks
AWS Redshift
AWS Glue
S3 · Lambda
Sagemaker
Languages & Frameworks
Python
SQL
PySpark
Java
Pandas · Regex
Hive · Hadoop
ML & AI
NLP
Random Forest
Decision Trees
Time-Series (Prophet)
K-Means Clustering
Linear / Logistic Regression
LLM · Generative AI
Prompt Engineering
Visualisation & BI
Tableau
AWS QuickSight
Power BI
Jupyter Notebook
AI Tools
Cursor
Claude
ChatGPT
Gemini
GitHub Copilot
