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Deshna Sanghvi

@deshnasanghvi

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Aspiring data scientist focused on applied AI, RAG/LLM systems, and reliable model evaluation.

India

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What I'm looking for

I’m looking for a role where I can build reliable applied AI—especially RAG/LLM systems and NLP—while strengthening model evaluation, robustness, and interpretability. I want to ship real solutions using data-driven iteration and sound ML practices.

I’m a B.Tech CSE student with hands-on internship experience as a Data Scientist Intern, where I built and evaluated machine learning workflows on structured datasets to improve robustness. I enjoy turning exploratory data analysis and statistical validation into clear, actionable insights.

My focus is on applied AI—especially Retrieval Augmented Generation (RAG), LLM systems, NLP, and model evaluation. I’ve built end-to-end pipelines that combine FAISS retrieval and LangChain orchestration, plus work on prompt engineering, embeddings, and hallucination reduction frameworks.

I’m driven by AI reliability: comparing algorithms with evaluation metrics, selecting models with evidence, and supporting interpretable outputs for data-driven decisions. I also bring project experience across document NLP analysis and credit risk modeling, and I’ve been recognized as a Smart India Hackathon grand finalist and an Amazon ML Summer School selected participant.

Experience

Work history, roles, and key accomplishments

Data Scientist Intern

Codtech Solutions Private Limited

Jun 2025 - Jul 2025 (1 month)

Built and evaluated machine learning workflows on structured datasets, improving model robustness through preprocessing, feature engineering, and cross-validation pipelines. Conducted exploratory data analysis and statistical validation to identify predictive patterns and compared algorithms using evaluation metrics to support reliable model selection.

Machine Learning data preprocessing Feature Engineering Cross Validation Model Evaluation Statistical Validation Python scikit learn

Education

Degrees, certifications, and relevant coursework

Shri Govindram Seksaria Institute of Technology & Science

Bachelor of Technology, Computer Science and Engineering

2023 - 2027

Activities and societies: Relevant coursework: DSA, DBMS, OS, ML, DL, Prob & Stats, Linear Algebra. Additional learning: MLOps, cloud, Docker/Kubernetes; RAG/LLM evaluation and NLP.

Pursuing a Bachelor of Technology in Computer Science and Engineering, with relevant coursework in data structures, DBMS, operating systems, machine learning, deep learning, and probability & statistics. Builds skills in MLOps, cloud (Azure/AWS), and modern ML/LLM evaluation and RAG pipelines.