Professional Overview
Hey there! I'm on an exciting switch from managing tech projects and running a startup to exploring the fascinating world of data science. My path's been quite a ride – leading projects at TechnoGigz Solutions and juggling everything at MoodBridge Wellness.So, what's in my toolkit for this data journey? Firstly, I'm pretty good at sorting out complex tasks (like untangling a bunch of tangled wires). I pay attention to the small stuff and love adding a bit of creativity to my work – because who says data has to be dull? I've learned how to keep clients happy while also getting deep into the tech side of things.Now, as I step into data science, I'm ready to jump in and make sense of all those numbers and charts. I want to turn data into stories that people can really use and understand. My goal is to simplify data, add a touch of joy to the team, and transform complex data puzzles into clear, actionable insights.
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
