About Me
Proactive Engineer with a Distinction in MSc in Information Technology from the University of Derby. Certified in Data Science with ML and AI from Ivy Professional School, showcasing practical proficiency in Python and S…
Proactive Engineer with a Distinction in MSc in Information Technology from the University of Derby. Certified in Data Science with ML and AI from Ivy Professional School, showcasing practical proficiency in Python and SQL across diverse projects. Skilled in analyzing business problems, developing custom models, and collaborating with cross-functional teams for efficient algorithm deployment. Strong communication and presentation skills, coupled with a team-player mindset and keen interest in MLOps processes. Familiar with ML tools, platforms, SQL, and programming languages. Eager to contribute analytical skills and a passion for deriving actionable insights to drive business success through impactful machine learning solutions. Additionally skilled in the development of Web Apps and APIs
Experience
Data Scientist Intern
Executed Fake News Detection internship using NLP techniques, Web Scraping, and Data Mining on Twitter data.
Developed innovative WordClouds, including Unigram and Multigram versions, for deep insights into data patterns.
Transformed textual data for efficient analysis using a counter vectorizer.
Implemented robust Data Cleaning techniques, resulting in a 20% increase in data accuracy.
Enhanced NLP model precision by 10% through Stemming and Lemmatization.
Achieved 94% accuracy in Adaboost data analysis, minimizing false negatives and positives.
Data Scientist Intern
Developed an advanced MS Excel tool using a comprehensive London House Sales Price dataset (8 attributes, 149,109 records), facilitating the identification of top 5 district sales and delivering detailed quarterly sales distribution analysis.
Enhanced user experience with dynamic graph modifications and implemented filters for estate type, property type, and new build status.
Extracted valuable insights on sales trends, hotspot districts, and conducted a quantitative analysis on 'FLAT' properties, significantly contributing to informed decision-making and the project's overall success.