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Abhinaya Nanduru

Applied Data Scientist • Middlesbrough, England, UK • a***************@gmail.com • 781****789 • linkedin.com/••••• • drivetube.ai/•••••

Professional Summary

Applied Data Scientist with 0 years of experience specialising in machine learning, NLP, and LLM-based retrieval systems. Practical experience building RAG prototypes, fine-tuning transformer models, and developing end-to-end ML workflows using Python, R, PyTorch, TensorFlow, Hugging Face, LangChain, and FAISS. Seeking early-career roles in data science or machine learning engineering where I can apply model development, evaluation, and production-ready pipeline skills.

Technical Skills

Programming Languages: Python,R
Frameworks and Libraries: scikit-learn,TensorFlow,PyTorch,Hugging Face Transformers,LangChain,Pandas,NumPy,Matplotlib,D3.js,React
Databases: SQL
Cloud and DevOps: AWS Cloud Foundations,Container-free local model inference LlamaCpp
Data and Analytics: Power BI,DAX,Classification,Model evaluation and cross-validation,Imbalanced data handling,Transfer learning and fine-tuning
Tools and Methodologies: LlamaCpp,FAISS,sentence-transformers,GitHub,Jupyter Notebook,VS Code,Kaggle,Google Colab

Work Experience

Boltzmann Labs
AI Research Intern
Nov 2023 – Mar 2024
Applied AI research lab focusing on NLP and LLM workflows; supported text-based model development, retrieval pipelines, and prototype evaluation.
Tech Stack: Python, PyTorch, Hugging Face Transformers, LangChain, LlamaCpp, sentence-transformers, FAISS, scikit-learn, GitHub, Jupyter Notebook, Google Colab
  • Processed and preprocessed heterogeneous text sources (PDFs, documents) and implemented chunking and cleaning pipelines in Python to prepare inputs for semantic retrieval and LLM prompting.
  • Built a retrieval-augmented generation prototype by creating embeddings with sentence-transformers, indexing with FAISS, and integrating LangChain with a local Llama 2 model via LlamaCpp for document-grounded Q&A.
  • Fine-tuned and evaluated BERT/transformer models for sentiment analysis using Hugging Face Transformers and PyTorch; tuned tokenization, batching, and optimizer steps to stabilize training.
  • Developed evaluation scripts leveraging scikit-learn metrics (F1, precision, recall, ROC-AUC) and cross-validation to compare model variants and support selection for downstream use.
  • Converted research experiments into reproducible notebooks and code repositories (GitHub, Jupyter, Colab) to enable team handover and iterative development.
  • Authored technical documentation and experiment summaries that captured methodology, limitations, and ethical considerations for LLM-based retrieval systems.
BIST Technologies Pvt. Ltd.
Artificial Intelligence Intern
Nov 2023 – Apr 2024
IT services and software solutions company; supported AI model development, analytics dashboards, and applied ML workflows for client projects.
Tech Stack: Python, R, scikit-learn, Power BI, DAX, React, GitHub, Jupyter Notebook, Matplotlib
  • Developed and validated classification models (Logistic Regression, SVC, Random Forest) in Python/scikit-learn for fraud detection; applied resampling and threshold tuning to improve minority-class performance.
  • Implemented an income-level SVM pipeline in R including data cleaning, mode-based imputation, encoding, scaling, and cross-validation; produced evaluation reports with AUC and accuracy metrics.
  • Identified and removed leakage-prone features during model development to ensure realistic production evaluation and maintain model generalisability.
  • Designed interactive Power BI dashboards using DAX and data modelling to visualise employee attrition and operational KPIs for stakeholders.
  • Built a responsive weather application front-end using React and integrated external APIs to provide real-time data and improve user experience.
  • Prepared reproducible analysis notebooks, maintained version control on GitHub, and presented model findings and ethical risk recommendations to technical and non-technical audiences.

Education

Teesside University
MSc Applied Data Science with Advanced Practice • Middlesbrough, England, UK • 2025 – 2027
Usha Rama College of Engineering & Technology
B.Tech Electronics & Communication Engineering • India • 2020 – 2024

Certifications

AWS Academy Machine Learning Foundations — AWS Academy
AWS Academy Cloud Foundations — AWS Academy
Python 101 for Data Science — IBM
Fundamentals of Data Analytics

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