Highly analytical and detail-oriented Data Analyst with a proven ability to translate complex data into actionable insights and strategic recommendations. Adept at leveraging advanced machine learning, deep learning, and statistical modeling techniques to solve real-world problems, as demonstrated by impactful projects in healthcare and predictive analytics. Proficient in Python, SQL, Power BI, and Tableau, I am committed to driving data-driven decision-making and delivering measurable value in dynamic environments.
Research Intern
Agarwal's Eye Hospital
Dec 2022 - Jan 2023
Bengaluru, Karnataka, IN
As a Research Intern at Agarwal's Eye Hospital, Mohammed developed and rigorously evaluated a deep learning model for classifying clinical eye images to enhance diagnostic accuracy.
Big Data Analytics
St. Joseph's University
Aug 2023 - Aug 2025
Bengaluru, Karnataka, IN
Data Science and Analytics
Jain University
Jul 2020 - Apr 2023
Bengaluru, Karnataka, IN
Introduction to MongoDB
N/A
Jan 2023
Data Visualization
Tata Group
Jan 2023
Hypertension Risk Prediction in Children (Ages 6-18)
Jan 2023 - Jan 2023
Developed a machine learning model to predict hypertension in children (ages 6-18) using clinical features such as BMI, age, and lifestyle factors.
Morse Code Detection
Jan 2023 - Jan 2023
Implemented an OpenCV-based algorithm to detect and translate Morse code from images and readable text, utilizing Python libraries such as NumPy and OpenCV.
English
Programming Languages
Data Tools & Platforms
Machine Learning & Deep Learning
Data Processing & Analysis
Libraries & Frameworks
Soft Skills