Open to opportunities

Pranshu Singh

@pranshusingh2

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Aspiring Data Analyst and AI/ML researcher using Python, NLP, and RAG to turn data into product strategy.

India

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What I'm looking for

I’m looking for a role where I can apply data analytics and NLP (RAG, sentiment, retrieval) to ship measurable product impact. I want hands-on mentorship, strong engineering standards, and opportunities to grow into AI/ML research and deployment.

I’m an AI/ML-focused B.Tech student (Computer Science with AI & ML) building practical analytics and language-based systems. I enjoy going from raw data to clear decisions—especially where NLP and retrieval can directly inform strategy.

In my Data Analytics Extern role, I conducted EDA to surface consumer behaviour trends and applied NLP sentiment analysis to generate product strategy insights. I also supported cross-functional teams by synthesising research findings for product decision-making.

Alongside analytics, I’ve shipped real AI and full-stack projects: a robots.txt-compliant web crawler pipeline, an educational VLM compression research effort for edge deployment, and a Legal Q&A RAG pipeline over 600,000+ court cases using FAISS/BM25 with Reciprocal Rank Fusion. I also lead AI/ML initiatives through IEEE committees—running research workstreams, writing technical blogs, and organizing workshops—because I want my work to be both impactful and collaborative.

Experience

Work history, roles, and key accomplishments

Current

Events Committee Head

Current

IEEE Student Body

Jun 2025 - Present (1 year)

Oversee planning and execution of technical fests and workshops, coordinating cross-committee logistics and student outreach. Manage event delivery from planning through execution to support student engagement.

Event Planning Workshop Coordination Team Management Outreach Leadership

Current

AI/ML R&D Lead (Educational)

Current

IEEE CIS MUJ

Jun 2025 - Present (1 year)

Led a team exploring vision-language model (VLM) compression research, focusing on structured pruning, INT8 quantization, and knowledge distillation for edge deployment. Initiated research targeting 92% of LLaVA-1.5 parameters in the LLM layer and authored a technical blog summarizing AI/ML findings.

PyTorch Hugging Face Vision Language Models Model Compression INT8 Quantization Structured Pruning Knowledge Distillation Onnx Colab T4

Current

AI Legal Advisor (RAG)

Current

NyayaMitra

Feb 2025 - Present (1 year 4 months)

Built a RAG pipeline over 600,000+ Indian court cases and IPC/BNS 2023 statutes using hybrid retrieval (FAISS + BM25) with Reciprocal Rank Fusion. Implemented an intent classifier to route requests across Legal Q&A, Judgment Prediction, Statute Lookup, and Summarisation, integrating FastAPI/React with Gemini API.

Python Faiss BM25 Reciprocal Rank Fusion RAG fastAPI React Gemini API

Web Scraping & AI Intern

Metapercept

May 2025 - Jul 2025 (2 months)

Built a robots.txt-compliant web crawler using Selenium and BeautifulSoup to extract PDFs and XML files at scale into a database pipeline. Trained an AI model on extracted data and standardized outputs against ISO specifications.

Python Selenium BeautifulSoup Web Scraping XML Processing Data Pipelines Machine Learning ISO Standards

Education

Degrees, certifications, and relevant coursework

Manipal University Jaipur

Bachelor of Technology (B.Tech), Computer Science (AI & ML)

2024 - 2028

Activities and societies: Core coursework in computer science and AI/ML; programming skills include Python, C, JavaScript, HTML, CSS, and SQL.

Pursuing a B.Tech in Computer Science with a focus on AI & ML at Manipal University Jaipur (2024–2028).

Delhi Public School Pune

AI / ML

2012 - 2024

Activities and societies: Learned and applied ML tooling and libraries such as PyTorch, scikit-learn, Hugging Face, and LangChain; also worked with EDA and NLP sentiment analysis.

Completed high school education at Delhi Public School in Pune (2012–2024) with an AI/ML learning focus.