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Data Scientist | Data Analyst | ML Engineer
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I am a Data Scientist with a strong foundation in analytics, machine learning, and AI-driven systems. With hands-on experience in NLP, cloud computing, and full-stack development, I thrive on solving real-world problems using data. I have worked in academic research and industry settings, developing scalable pipelines, predictive models, and intelligent applications across diverse domains. I recently graduated with a Master of Science in Data Science from The George Washington University.
The George Washington University
Washington, D.C.
Master of Science in Data Science
GPA 3.95/4.00
Global Leaders Fellowship award recipient (25%/year Scholarship on Tuition Fee)
Relevant Coursework: Data Science, Data Mining, Data Warehousing, Data Visualization, Deep Learning, NLP, ML
GLS University
Gujarat, India
Bachelors of Computer Applications
GPA 3.70/4.00
Relevant Coursework: Statistics, DBMS, Advanced Object Oriented Programming, Data Communication and Networks
3+ years of combined academic and industry experience in Data Science & ML
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Built a two-agent system using LLMs (LLaMA3, BERT) to classify expenses and provide budget optimization insights. Submitted research paper to Springer (under review).
Developed a GPT-2 based chatbot with RAG and cosine similarity to retrieve U.S. and Russian speech excerpts using LangChain and ChromaDB with a Streamlit UI.
Used LSTM and Variational Autoencoders in PyTorch/TensorFlow to generate original melodies, leveraging time-series pattern recognition in MIDI datasets.
Created a Dash-based dashboard using GCP services to analyze 102K+ NYC listings. Uncovered winter booking trends and pricing patterns via EDA and PCA.
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Completed hands-on course by DeepLearning.AI and AWS on transformers, LoRA, RLHF, and deployment using SageMaker & LangChain.
Covered Docker architecture, container orchestration, image optimization, and CI/CD integration in production environments.
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