Welcome! I am a data professional with expertise in AI & Machine Learning, data science, analytics, and engineering. Holding a Master’s in Data Science, I’m passionate about uncovering insights, building scalable data solutions, and transforming raw data into actionable knowledge.
My work spans domains including healthcare, business intelligence, and operations. I specialize in using data to drive impactful decisions and crafting solutions that bridge technical and strategic challenges. With expertise in AI, I bring automation and intelligence to processes, enhancing efficiency and innovation.
Whether you’re looking for a collaborator on a data-intensive project, insights for your business, or innovative ways to leverage AI & Machine Learning, let’s connect!
The Outpatient Polypharmacy Analysis project investigates the risks and outcomes associated with the concurrent use of multiple medications among elderly individuals aged 65 and older in outpatient settings. Using the publicly available MIMIC-IV dataset, this study delves into the prevalence of polypharmacy and its impact on key patient outcomes, such as survival rates, ICU admissions, and hospitalization risks.
By leveraging advanced statistical techniques like Cox Proportional Hazard Models and survival analysis, ... Read More
This project focuses on classifying North American bird species using a robust deep learning approach. By leveraging VGG16, a pre-trained convolutional neural network, as a transfer learning model, the study seeks to achieve high accuracy in identifying bird species from image data.
The dataset includes labeled images of North American bird species, sourced from publicly available repositories such as iNaturalist or specialized bird image datasets curated for machine learning tasks. These datasets provide a diverse range of bird classes, ensuring robust training and testing conditio... Read More
This project involves leveraging Yahoo Finance's open-source API to gather and analyze stock data for multiple companies over the past ten years. Using Django, a Python-based web framework, the data is imported into a database and visualized. The project focuses on setting up a data flow from the yfinance API to a relational database, allowing for analysis and visualization of stock trends. Key features include data extraction via Jupyter notebooks, storage in Parquet formats, and management commands for data handling.
The project centers around the extraction, storage, and analysis... Read More
Highlighted skills below are what I believe sets me apart as an Analyst / Scientist / Team member.
Feel free to reach out, anytime, via email.