Hey! I'm Siri Lahari Chava
Data Scientist | Applied Statistician | Machine Learning Engineer
"Transforming raw data into actionable insights through advanced analytics and AI-driven solutions."
I’m a graduate student at the University of Texas at Arlington, pursuing a Master’s in Applied Statistics and Data Science. With experience in algorithmic trading, NLP, and predictive modeling, I bridge statistical rigor with scalable machine learning solutions. Currently, I’m a Research Intern at UT Arlington, where I apply ML to advance disability studies and social policy.
When I'm not coding, I enjoy diving into the world beyond the screen.I love immersing myself in stories—whether through books that transport me to different worlds or movies that leave a lasting impact. I have a curious palate and enjoy trying out new foods, always on the lookout for unique flavors and experiences. Music is my constant companion, setting the mood for work, relaxation, or just daydreaming. Whether it's a gripping novel, a cinematic masterpiece, or a delicious new dish, I’m always chasing moments that spark joy and inspiration. Sometimes, I just sit back , watching the world go by, letting my mind wander and recharge for the next big idea.
EDUCATION
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M.S. Applied Statistics & Data Science | UT Arlington (2024–2025)
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M.S. Data Science | Stevens Institute of Technology (2023–2024)
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B.Tech AI & Data Science | ICFAI Foundation (2019–2023)
WORK EXPERIENCE
PROJECTS
MOVIE RECOMMENDATION SYSTEM
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"Designed a hybrid recommendation engine combining collaborative and content-based filtering techniques. Leveraged KNN for user clustering and cosine similarity for content matching, achieving 30% higher engagement in A/B tests."
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Impact:
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Reduced user churn by 15% for test audiences.
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Scalable architecture supporting 10K+ movie titles.
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Text Recognition & Speech Conversion
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"Developed an OCR-powered app that extracts text from images (e.g., scanned documents) and converts it to speech using Google’s Text-to-Speech API. Optimized text detection with OpenCV preprocessing."
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Impact:
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85% accuracy on handwritten text recognition.
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Integrated multi-language support (English, Spanish, French).
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Algorithmic Trading Strategy
Developed a risk-optimized trading model for Fox Trading, reducing exposure by 15%
IMAGE CLASSIFICATION WEBSITE
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"Built a full-stack web application that classifies user-uploaded images into 10+ categories using a CNN model. Deployed via Flask with a React frontend for seamless user interaction."
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Impact:
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Achieved 94% accuracy on
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Reduced inference time to <2 seconds using model quantization.
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REAL TIME SENTIMENT ANALYSIS
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Fine-tuned a BERT model for sentiment classification, achieving 92% accuracy on customer reviews. Deployed the pipeline as a Flask API for real-time analysis, integrated with a Tableau dashboard for stakeholder insights.
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Impact:
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Reduced manual review analysis time by 70% for Acuwin Solutions.
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Processed 500+ reviews/minute in stress tests.
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"Data, to me, is more than numbers and algorithms—it’s the language of possibility. Every dataset tells a story, and I’m captivated by the challenge of uncovering its hidden narratives. I’ve seen firsthand how data can reshape industries and empower decision-making.
My journey began with a simple question: ‘What if we could predict the unpredictable?’
For me, data science is a lens through which I see the world. Whether I’m fine-tuning a machine learning model or visualizing trends in disability studies, I’m constantly inspired by the idea that every insight we uncover has the potential to spark change. And that’s what keeps me curious, driven, and endlessly excited about the future of data."
My Journey in Data Science
Let's Connect
Whether you want to discuss data science, machine learning, or just have a great conversation, feel free to reach out. I’m always open to new ideas, collaborations, and interesting discussions!
Siri Lahari Chava
214·606·0904
sxc6128@mavs.uta.edu