Ameer Tufail

Delivered a presentation on Intro to Data Science sharing insights on predictive modeling and data analysis. Engaged with attendees through a Q&A session, fostering discussions on emerging trends in Data Science and machine learning.

Built ML models using Python, solving business problems with 87% accuracy across 3+ projects. Performed data preprocessing and feature engineering, boosting model performance by 12% via categorical encoding and feature scaling. Created a sentiment analysis pipeline using NLTK and Random Forest, achieving 84% accuracy, and documented the project on GitHub for reproducibility.

Started as a Data Science intern and quickly promoted to lead both Data Science and Machine Learning batches after demonstrating strong technical and communication skills. Completed all assigned tasks while simultaneously mentoring fellow interns, resolving queries, and guiding project development. Led 3 consecutive batches, designing and delivering sessions on key topics and best practices.

Led web development for a solar energy company as part of a two-member team, designing and building a responsive website using WordPress. Designed an intuitive UI, improving user engagement by 20% through streamlined navigation and visually appealing layout.

Activities and societies: Recognized as a guest speaker at a university and webinar, delivering impactful data-driven solutions.

Currently pursuing a Bachelor of Science in Data Science, focusing on data analysis, machine learning, and model deployment. Gained proficiency in Python, SQL, and various ML frameworks through impactful projects.