Turning Data into Actionable Insights and Solutions
I am a dedicated Data Analyst with over 10 years of experience in biomedical engineering 2 years in data analysis, and 1 year in machine learning. My expertise spans various fields, including medical equipment planning, where I honed my skills in solving complex problems and driving business success. I have a strong foundation in data analysis, and I’m passionate about using data to make informed decisions and generate meaningful insights.
I specialize in:
Data Analysis & Visualization: I use tools like Python (Pandas, Numpy, Matplotlib, Seaborn), and Power BI to clean, analyze, and visualize data.
Machine Learning: I build predictive models using Scikit-learn and PyTorch, focusing on classification, regression, and clustering tasks.
Dashboards & Reporting: I create interactive dashboards and detailed reports that are both visually appealing and data-driven to help clients make well-informed business decisions.
With a degree in Biomedical Engineering and a Diploma in Computer Science from the Faculty of Graduate Studies and Statistical Research, I bring a unique interdisciplinary approach to data analysis. My certifications in data analysis (including advanced tracks from Udacity) and hands-on experience with real-world projects make me a trusted partner for businesses looking to harness the power of data.
I am always eager to take on new challenges and collaborate with clients across different industries to deliver high-quality, data-driven solutions.
Let's work together to turn your data into actionable insights!
Work Terms
Hours of Operation: Available 30+ hours per week.
Payment Terms: Flexible payment options, including hourly or project-based pricing, with payments accepted through Guru’s secure payment system.
Communication: I prefer to communicate via Guru’s messaging system for project updates. Video or voice calls can be scheduled for in-depth discussions as needed.