I am a Computer Engineering student with a strong focus on Machine Learning, Artificial Intelligence, and data analysis. I enjoy applying analytical and problem-solving skills to real-world technical challenges, particularly in healthcare and data-driven decision-making.
I have hands-on experience building, training, and evaluating machine learning models. During my Machine Learning internship at Risetech, I worked on osteoporosis detection using medical data, gaining practical exposure to preprocessing, feature extraction, class-imbalance handling, and predictive modeling.
I have also completed data analysis projects involving datasets such as Titanic, USA accidents, road accidents, HR analytics, and kidney transplant management. I use Python and its data science libraries to clean, analyze, visualize, and interpret data.
I am proficient in creating interactive Power BI dashboards using KPIs, DAX measures, slicers, and visual reports. My work focuses on transforming raw data into clear insights that support informed decisions.
Alongside my technical work, I have experience as an online tutor, teaching more than 30 students across different cities. This role has strengthened my communication, presentation, and ability to explain complex concepts clearly.
I am eager to begin and grow my career in machine learning, artificial intelligence, and data analytics while contributing to impactful projects and continuously developing my technical expertise.
Completed a machine learning internship focused on applying ML techniques in the healthcare domain. Contributed to an osteoporosis detection project by analyzing medical data and developing predictive models.
Worked with data preprocessing, feature extraction, model training, and model evaluation. Strengthened practical understanding of applying machine learning algorithms to real-world medical problem statements.
Completed a data science internship focused on data analysis projects, including analysis of the Titanic dataset and the USA accident dataset.
Used Python libraries including NumPy, pandas, and Matplotlib to analyze datasets and create visualizations. Developed practical experience in exploratory data analysis and communicating data insights.
Teach FSC and entry test preparation courses to more than 30 students across different cities. Support students in improving academic performance and achieving higher grades.
Use strong verbal and written communication skills to explain concepts, prepare learners for examinations, and provide tailored academic guidance.
Bachelor of Engineering, Computer Engineering
Pursuing a Bachelor of Engineering in Computer Engineering. Relevant coursework includes computer hardware and mathematics.
Intermediate Examinations, Science
Completed intermediate-level education and was recognized as a high achiever in 2023.
Matriculation Examinations
Completed matriculation-level education and was recognized as a high achiever in 2021.
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