I am a data scientist and full-stack developer with a passion for tackling challenging problems and who has been conducting qualitative and quantitative analyses, building AI/ML models, architecturing databases, and developing web and apps for 4 years. I specialize in machine learning, deep learning, data visualization, cloud computing, scalable web development, latent variable analysis, and causal analysis. My expertise also includes Python, R, JavaScript, SQL, and various libraries and frameworks such as React, Node JS, and Flask.
Scroll
My Approach.
The right solution depends on the right problem. For each task I take, I use a structured problem identification approach by identifying what kind of challenge you want to solve, understanding the context, the scope of the solution, getting to know the stakeholders I work with, and the technological resources and data they have. Not every problem becomes immediately clear, and I will be here to walk through this process with you. We together will thrive in the ambiguous situation.
As mentioned earlier, with my professional experience, I am eager to deliver solutions from basic data visualization to advanced statistical analyses to complex full-stack websites. I am quick to master new technologies and statistical methods, even those I haven't encountered before. My portfolio stands as a testament to my ability to learn and adapt swiftly.
Bringing Models to Life.
Beyond training AI/ML, I am also a specialist in model deployment and integration. Whether the backend is Flask, ExpressJS, Rshiny, or any other library and framework, I am happy to productize the AI/ML models with frontend and keep these from ending in Jupyter Notebook.
If you do not have data or model, I am equally eager to create database system and build AI/ML including fine-tuning and feature-based transfer learning approaches.
Sherlock of Causal Analysis.
I thrive on disentangling complex relationships within data through causal analysis. Utilizing directed acyclic graphs (DAGs), I pinpoint the underlying structures and causal pathways that drive outcomes. This approach not only illuminates the direct and indirect influences within a dataset but also clarifies confounding variables and potential biases, ensuring robust and reliable results.
My expertise extends to latent variable analysis and prescriptive analytics (i.e., cost-benefit analysis). By identifying and measuring hidden constructs that influence observed variables, I uncover the nuanced and often elusive factors that shape data patterns. Additionally, through prescriptive analytics, I find an ideal way forward for a particular scenario based on data.
Infusing Vitality into Applications.
I adopt a pragmatic approach to my work that is accessible, optimized, and aligned with your requirements. I focus on firm and scalable solutions.
Using CI/CD, cloud for scalable infrastructure, dynamic frontend, reliable backend, containerization, and encrypted security, I always strive to choose the most appropriate technology for each project. I ensure efficiency and effectiveness without unnecessary complexity, and my work will not result in a loss of knowledge by developing the essential documents for you to reproduce.
Shape the Future Together.
Please reach out to initiate a conversation about your business ideas. This could be the beginning of something great. I am more than happy to work with you in navigating through your business idea journey.
There are several avenues to get in touch. If you are a sign language user and you want to communicate in your language, I will be equally happy to have a signed conversation.