Data Scientist & Machine Learning Engineer
Master’s student in Computer Science at Texas State University with a focus on Data Science. Driven by a passion for transforming data into actionable insights, I specialize in building intelligent systems that solve real-world challenges. My experience spans diverse projects in computer vision, natural language processing, and predictive analytics, fueling my growth as an aspiring AI/ML engineer.
Driven by curiosity and powered by data
Hello! I'm Heali, a Master's student in Computer Science at Texas State University with a concentration in Data Science. My journey has been shaped by both academic and professional experiences, through which I discovered my passion for leveraging data to solve complex problems.
Recently, I worked as a Data Engineer at Shreem Solarium and a Business Intelligence Analyst at Saptarishi Furniture, where I developed machine learning models, automated workflows, and supported data-driven business decisions. I’ve been deepening my expertise in computer vision, natural language processing, and deep learning using PyTorch, TensorFlow, and cloud technologies.
Outside of tech, I enjoy exploring emerging technologies, engaging in research projects, and embracing lifelong learning. Life, like data, becomes more fascinating when you’re curious and open to discovering new patterns.
Building expertise through hands-on projects and research
Solving real-world problems with data science and machine learning
Python, TensorFlow, CNN, Computer Vision
Developed and trained a Convolutional Neural Network model for classifying skin lesions with exceptional accuracy metrics. The system demonstrates the potential of AI in medical diagnosis and early disease detection.
Python, TF-IDF, Cosine Similarity, NLP
Developed a content-based movie recommendation engine utilizing TF-IDF vectorization and cosine similarity, effectively analyzing a dataset of over 5,000 movie plots to provide personalized recommendations.
Python, OpenAI API, Fine-tuning
Gained hands-on experience with OpenAI APIs and fine-tuned model performance for specific text generation tasks while achieving optimized response times for real-world applications.
Python, Flask, PHP, TF-IDF, Search Algorithms
Advanced web application for keyword-in-context search across large music datasets using sophisticated text processing, ranking algorithms, and context-aware search logic.
Technologies and tools I’ve worked with
Recognition for innovation and excellence in data science
Led a team of 4 in TXST Datathon 2025, where we analyzed the spatial distribution of hospitals in Austin relative to population density. We developed an interactive dashboard and performed geospatial analysis using datasets from the Texas State Data Repository, delivering actionable insights to enhance healthcare accessibility. Our project secured 3rd place in the graduate division.
Let’s connect and build something meaningful
Feel free to reach out for collaboration, freelance projects, or just a friendly chat about all things data and machine learning. I’m always open to exciting opportunities and meaningful conversations!