Data Scientist & AI Engineer

Hi there! I’m a passionate data enthusiast with over five years of experience turning complex scientific data into meaningful insights. I love diving into data, uncovering patterns, and using advanced machine learning techniques to solve challenging problems. With a strong background in programming and visualization, I enjoy making data not only insightful but also easy to understand. I thrive on curiosity—always exploring new tools and technologies to stay ahead. Whether it’s tackling tough analytical challenges or explaining technical concepts in a simple way, I’m all about making data work for people. Let’s connect and explore the power of data together!

Education

Ph.D. Mathematics, Iowa State University, May 2024
Ms.C. Statistics, Iowa State University, December 2022

Here’s your Work Experience section with a more friendly and approachable tone:

Work Experience

AI Engineer @ Reality AI
Jun 2024 - Present
- Built an Intelligent Teaching Assistant using LLMs and Google Cloud Vertex AI to create adaptive syllabus content and AI-resistant assignments.
- Designed smart NLP pipelines to process and organize large amounts of text, making automated content creation faster and more efficient.
Data Scientist @ Iowa State University
Jun 2023 - May 2024
- Automated web scraping with Selenium, cutting data extraction time by 60% and making data collection smoother.
- Improved ETL workflows, making data processing faster and more reliable for analysis.
Data Analyst & Research Assistant @ Iowa State University
Aug 2017 - May 2023
- Used hierarchical logistic regression to study how social connections impact immigrant students’ math enrollment.
- Built statistical models that helped improve teaching strategies by 21-36%.
- Led data-driven projects, applying advanced analytics to predict student performance with 86% accuracy.

Projects

Udacity Data Scientist Program Capstone Project
- Built a predictive model to analyze user engagement with Starbucks’ promotional offers.
Kaggle Recipe Traffic Project
- Developed machine learning models to predict recipe traffic based on nutritional content and categorical features.

Certificates

Udacity Data Scientist Certificate (Completed: December 2024)

Focused on machine learning, data engineering, recommendation systems, and deploying AI solutions using advanced tools. Developed expertise in Python programming, data analysis, and creating robust AI-driven solutions.

IBM Data Scientist Certificate (Completed: April 2023)

Comprehensive training in data science methodologies, Python programming, SQL, and big data tools. Focused on data analysis, visualization, machine learning, and cloud-based solutions. Capstone project involved building machine learning models to solve real-world problems.

DataCamp Machine Learning Scientist Certificate (Completed: June 2024)

Comprehensive expertise in supervised and unsupervised learning, deep learning with PyTorch, and building NLP pipelines. Gained practical skills in hyperparameter tuning, feature engineering, and deploying ML models.

DataCamp Data Scientist Certificate (Completed: March 2023)

DataCamp Machine Data Scientist Certificate

Validated proficiency in core data science skills, including data management, exploratory analysis, statistical experimentation, and model development. Emphasized coding for production environments and project-based learning.