Data Engineer • Analyst • Model Builder
I am a data-driven and results-oriented Data Engineer with extensive experience in data pipelines, analytics, visualisations, and data science and machine learning solutions. Skilled in Python, SQL, Databricks, and cloud platforms (GCP, AWS), with a proven track record of automating workflows, optimising reporting pipelines, and building predictive models that deliver actionable insights. Passionate about leveraging AI, NLP, and computer vision to solve complex business problems and enhance operational efficiency.
Whether you're looking to collaborate on a project, discuss work opportunities, or simply have a meaningful conversation, I'm always open to connecting and exchanging ideas.
I can present your data in a beautiful manner which is also easy to understand
Help you better understand your data by performing thorough analysis of it
Bored of doing a repetitive task? Let me help write scripts to automate it for you
Browse multiple models and help you create and train that model for your task
Leading migration of OTIF reporting to Google Cloud with automated Databricks workflows and analytics optimisation, improving scalability, cutting reporting time by 97%, and reducing costs.
Developed an end-to-end Databricks ETL and analytics workflow leveraging SQL, Python, and Adobe Analytics to boost website traffic and automate reporting, reducing production time by 90%.
Analysed IIoT time series data using Python and machine learning to optimise energy efficiency, enhance operational insights with interactive visualisations, and establish safety thresholds for machinery.
Developed and optimised ML/DL models for colour detection and recipe optimisation, improving colour matching accuracy and reducing base colours required from 4–6 to 2–3 for greater resource efficiency.
Building on top of the knowledge gained in my undergraduate degree and delving into more advanced concepts in the field. Keeping an organised and detail-oriented approach helps in managing all the course load simultaneously helping me grow as in individual. Effectively utilising knowledge from various domains to implement the projects efficiently.
Gained foundational knowledge about the field of data science. Started with preliminary concepts and climbed up to more complex algorithms. Reinforcing the theoretical knowledge gained with practical applications. Worked on various projects across different domains of Data Science.