Data Scientist and AI-ML Engineer
Born in Pune, India, and raised in Doha, Qatar, Yassir currently resides in Doha. Coming from a strong science and mathematics background, he completed his higher education in PCM(Physics, Chemistry and Maths) with a focus on Information Practices(Java, SQL,etc). Recently, he earned his Bachelor’s degree in Computer Science and Engineering (B.Tech CSE) from MITWPU, Pune. Yassir is an aspiring Data Scientist and AI-ML Engineer, passionate about transforming raw data into actionable insights and intelligent solutions. With solid analytical skills and expertise in Python, SQL, and Java, he specializes in exploratory data analysis, data preprocessing, feature engineering, and developing machine learning models.He is also exploring and learning about GenAI and agentic AI and has worked on many freelance projects in AI.
Apart from technology, Yassir is deeply interested in Physiology and Psychology, learning about how humans function, why we behave the way we do, Psycho-Nutrition, and other related topics. In his free time, he enjoys reading books and articles on these subjects or on ML/AI, enhancing his coding skills, working out, or playing football.
Skills
Experience
Education
Have six months of experience where I successfully handled all responsibilities essential for a Junior Data Scientist, including data analysis, EDA, model development, data-driven insights generation, customised chatbot, etc...
learn moreExperienced in utilizing and fine-tuning machine learning and deep learning models to meet specific project objectives. Skilled in adapting model architectures, optimizing hyperparameters, and integrating models into practical applications.
learn moreDuring my Bachelor's Degree, I've gained fundamental knowledge in various areas of computer science, including programming, data structures, databases, machine learning, and software development.
learn more
Performed gemstone price prediction by conducting data analysis and Exploratory Data Analysis (EDA) to identify patterns, and implemented various machine learning models (Linear Regression, KNN, Random Forest, Gradient Boosting) using scikit-learn for accurate price forecasting.
Developed a user-friendly Automatic Intrusion Door Security System using Raspberry Pi, IoT, and CNN-based facial recognition, integrating real-time notifications via Telegram Cloud to alert users of intruder faces—completed as my final year capstone project for B.Tech CSE.
Copyright © Yassir Hiroli. (Website designed and coded using HTML and CSS)