AI/ML and Data Enthusiast focused on building data-driven solutions
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I believe learning experiences can be continuously improved through data and technology. I design interactive, outcome-driven solutions that leverage data and AI to help learners acquire, retain, and apply knowledge effectively in real-world contexts.
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Highlights of Qualification
- 5+ years of professional experience in Instructional Design and Project Management with CAPM® certification, skilled in designing and delivering end-to-end learning solutions — now expanding into Data Analytics and AI
- Experienced in developing learning modules and training programs, including eLearning courses for employees on vanilla extraction using Rise360, and creating instructional materials such as workbooks, job aids, and presentations.
- Proficient in audio and video content creation, using Audacity, Snag-it, Canva, and AI voice-over tools (Eleven Labs)to produce engaging digital learning assets.
- Applied instructional design principles in projects like Progress, a training module for teaching PMP and CAPM concepts, incorporating interactive content, visuals, and learner engagement strategies.
- Designed guides, learning modules, and instructional posters to educate employees on safety procedures during the labor-intensive “ready-to-use vanilla” process, ensuring compliance and promoting safe work practices
- Currently building expertise in Data Analytics using Python and pandas, with a growing portfolio of data cleaning projects — and deeply passionate about how AI is transforming the way we work, learn, and make decisions.
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Expertise
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Take a look at some of my projects
To look at all my projects, Click here
Featured Projects
Python
An exploratory data analysis project on real medical data from the Breast Cancer Wisconsin Diagnostic Dataset. The dataset contains 569 breast mass samples with 30 numerical features derived from digitized fine needle aspirate (FNA) images. Unlike the previous EDA projects, this dataset has genuine predictive signal — every chart tells a clear, meaningful story about what distinguishes a malignant tumor from a benign one.
Python
An exploratory data analysis project on 8,000 Spotify users built around a single business question — why do users churn? The dataset includes behavioral, demographic, and subscription data with a target variable
is_churned, making every chart directly tied to a real retention insight
Python
An exploratory data analysis project on 120+ years of Olympic history using Python, pandas, matplotlib, and seaborn. The dataset contains 70,000 athlete-event records spanning from 1896 to 2016, covering both Summer and Winter Olympics with detailed athlete demographics, event information, and medal outcomes.
Python
A data cleaning project on a Glassdoor data science jobs dataset with 672 web-scraped job listings. The dataset had no traditional null values, making it a more investigative cleaning challenge than typical null-heavy datasets.
Python
A data cleaning project on a synthetic cafe sales dataset with 10,000 transactions. The dataset contained fake null values disguised as strings, wrong data types, and high volumes of missing data.
Python
A data cleaning project on a retail store sales dataset containing 12,575 transactions across multiple product categories, locations, and payment methods
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