My Tools / Stack
My Background / About Me
My data journey began with business fundamentals at ISM University of Management and Economics, where I studied finance and learned the ins and outs of business processes. At Turing College, I gained expertise in data analysis, machine learning, and automation. After gaining industry experience, I returned to Turing College as a Mentor to give back to the community, where I now guide upcoming data experts through code reviews and technical challenges, helping them master the same path I took.
As an Analyst at Nord Security, I develop tools that help teams work better with data. I built data pipelines that automatically collect information from different sources like Ahrefs and YouTube. I also created a web scraper that, despite complex JavaScript rendering challenges, helps us understand what people are saying about our products across the internet, and a machine learning model that helps us find the right websites to work with.
To make our work easier, I created a centralized hub using React and PostgreSQL that, after solving complex state management and real-time data sync challenges, tracks daily API usage, automation script statuses, and marketing performance metrics for our growth operations. I also improved how we schedule and monitor our data processes, which reduced errors by 30% and saved time for everyone on the team.
Before this, I worked at CyberCare helping businesses use our products. This experience taught me how to communicate clearly with clients and understand what businesses need to succeed. I helped bring in over 200 new business clients and improved how we help our customers.
My Work / My Projects
Stroke Risk Prediction
Developed a machine learning model to predict stroke risk,
identifying key factors and helping healthcare providers assess patient risk profiles.
Travel Insurance Analysis
Developed a machine learning model to predict travel insurance
purchases, identifying key factors in customer buying decisions.
Red Wine Analysis
Applied machine learning techniques to analyze red wine chemistry,
uncovering relationships between chemical properties and wine quality.
Podcasts Analysis
Utilized Python and SQL to analyze podcast reviews, identifying key
factors driving listener engagement and satisfaction.