I recently graduated with a PhD from Florida State University, specializing in machine learning for engineering applications. During my PhD in computational science, I developed cost-effective ML models for computationally expensive simulations for polymer industry. I love working with great people, getting creative with data, using state-of-the-art technologies and learning the math behind ML. Interested in working together or having a chat? Feel free to contact me.

Analyzing

In a wide range of subject areas, I have analyzed structured and unstructured data to extract actionable business insights. I love to craft stunning and clever visualizations that illustrate surprising results.

Developing

I believe machine learning models should be more than just theoretical exercises in Jupyter Notebooks. I'm actively applying my developing software engineering skills to learn how to build and deploy AI services that can deliver real business value.

Communicating

I enjoy public speaking, writing professional articles, sharing my knowledge and discussing diverse topics. Thanks to my training and experience in science communication, I'm able to present complex results to a non-technical audience.

Featured Projects

Blogs on Medium

Medium is a great place to share wisdom. Here I will share my article on ML resarch/project practices.

Check it out

Power BI dashboards

Check out some data visualizations and analysis with PowerBI

Analysis of StackOverflow 2023 Survey. Dive in to discover the latest trends in the tech world, explore the most popular tools used by developers, and get a glimpse into the vibrant and diverse Stack Overflow community. Link to actual survey, and response can be access by clicking RAW data.

Project Report Interactive Example Raw Data Project Video

The project aims to analyze hospital waiting list data to understand patient wait times, demand for medical services, and healthcare delivery efficiency. This type of analysis is important for identifying bottlenecks, managing backlogs, and planning resource allocation to improve patient care.

Project Report Interactive Example Raw Data Project Video

Teaching Activity

As a Teacher, I taught over 200+ undergraduate students about the fundamentals of Data Science, Python, SQL, and Machine Learning.

Computational Thinking for Data Science with Python

This course aims to introduce students to key areas of data science, such as optimization, machine learning, data extraction, and analysis. It emphasizes the use of computational thinking to create algorithms for these areas and interpret the resulting computational outcomes.

Course content Course syllabus

Introduction to Scientific Computing

This introductory course, teaches Python to undergraduates. It covers Python basics, including loops, lists, functions, and classes. Additionally, it explores popular packages like NumPy, SciPy, Pandas, and Matplotlib, emphasizing Python's role in solving scientific comp problems.