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Suraj Yadav

Suraj Yadav

Major:
Data Science and Physics,
Double Major:
Data Science and Physics
Mobile:
7620098264
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Overview

Suraj Yadav is a final-year BSc (Hons) student in Data Science and Physics at Krea University, with hands-on experience in data analysis, machine learning, and the development of AI-driven tools. He has interned as an AI & ML Intern at TestAing Company, where he worked on image classification models, model optimisation, and explainability techniques. He has also worked as a Data Analyst at MakeIntl and Astytva Community Center Foundation, where he cleaned and analysed large datasets, built dashboards, and translated research findings into actionable insights for real-world programmes. Alongside this, he contributed to a data pipeline project at Farming Buddy and conducted business research during his internship at Triedge Solutions.

Suraj is currently building a personal project, a Retrieval-Augmented Generation (RAG)-based AI teaching assistant for physics, working with tools such as FAISS, Sentence Transformers, and large language models. He is seeking opportunities as a Data Analyst, Data Scientist, or in Machine Learning/AI, where he can apply his skills in Python, data analysis, and machine learning to solve practical business problems.

Internships

Year 1: Seva Mandir

Research Project Intern

8 weeks, 2024

  • Evaluated the impact of solar lift-irrigation systems across 10+ villages in rural Rajasthan through structured field surveys and farmer interviews
  • Analysed datasets on water usage, crop yield, and cost savings; found a 15% average reduction in irrigation costs and a 20% increase in crop yield for participating households
  • Authored a comprehensive impact report adopted by Seva Mandir for donor reporting and future programme scaling

Year 2: Astytva Community Centre Foundation (ACCF)

Data Analyst & Research Fellow

Apr 2025 – Jun 2025, 10 weeks

  • Analysed a 2024 community survey with 835+ respondents using Python (EDA); produced a 20-page report adopted by ACCF for its 2025 programme planning
  • Designed and led a Youth Aspiration Program survey in partnership with the Azim Premji Foundation, covering 2 villages and ∼200 youth participants; insights directly shaped ACCF’s annual programme strategy
  • Applied cross-tabulation, correlation, and frequency analysis to identify key socioeconomic drivers of youth career aspirations
  • Presented findings to senior stakeholders, accelerating programme-design timelines by approximately 4 weeks.

Year 3: TestAing Company

AI & ML Intern

April 2026 – July 2026, 12 weeks

  • Developed and evaluated image classification pipelines using multiple deep learning models, comparing performance across architectures to identify optimal solutions
  • Applied model quantization techniques to reduce model size and improve inference speed without significant loss in accuracy
  • Explored model explainability methods (such as Grad-CAM and SHAP) to interpret and communicate model predictions in a transparent and meaningful way
  • Investigated adversarial attack vectors and potential vulnerabilities in ML models, contributing to a better understanding of model robustness and security

Year 3: Triedge Solutions

Data Research and Social Media Intern

April 2026 – August 2026, 16 weeks

  • Conducted data-driven research on companies by analysing their profiles, digital presence, and social media platforms to gather and organise relevant information
  • Supported social media and research activities by analysing online content and company information, helping generate structured insights for business and communication purposes

Year 3: Astytva Community Centre Foundation (ACCF)

Physics Co-Teacher

April 2026 – June 2026, 10 weeks

  • Redesigned the Class 12 Physics curriculum by replacing rote-learning methods with hands-on, practical approaches that connected theory to real-world phenomena
  • Integrated short, structured projects into the learning pathway, encouraging students to apply concepts independently and develop problem-solving skills
  • Designed and facilitated activity-based lessons incorporating interactive simulations, allowing students to observe and experience physical principles in action rather than simply memorising them
  • Came up with a more engaging and curiosity-driven classroom environment, improving student participation, comprehension, and retention of physics concepts

Research Opportunities

Capstone Project | Jul 2026–Present
RAG-Based Spacetime Physics AI Teaching Assistant

  • Built a Retrieval-Augmented Generation (RAG) tutoring system for undergraduate Special and General Relativity
  • Developed a document-processing and semantic-retrieval pipeline using PyPDF, Tesseract OCR, Sentence Transformers, and FAISS
  • Implemented intent classification to support contextual follow-up queries and Socratic tutoring
  • Developed a Streamlit interface with conversation memory, feedback capture, and LLM-based evaluation

Projects and Work

Krea University

Course Tutor — ICT

Feb 2026 – April 2026

  • Delivered weekly tutorials for the ICT course, supporting ∼30 first-year students in building foundational computing and digital-literacy skills
  • Designed supplementary exercises and assessment rubrics in coordination with the course instructor to reinforce key concepts

Krea University

Teaching Assistant — Physics Exploration

Jan 2025 – Apr 2025

  • Facilitated 12+ laboratory sessions for ∼60 first-year students, explaining experimental methodology and error analysis
  • Resolved conceptual doubts during tutorials; end-of-semester peer feedback reflected a measurable improvement in student confidence
  • Assisted with grading lab reports and provided structured written feedback to strengthen scientific communication skills

Yaaskool

Affiliate Teacher

Feb 2024 – Dec 2024

  • Delivered engaging online science lessons to high school students nationwide; developed custom learning resources and assessments that improved assignment completion rates by ∼25%
  • Created 30+ lesson plans and digital worksheets aligned to CBSE curriculum standards using Google Workspace and interactive presentation tools
  • Maintained detailed progress records and provided timely feedback to support diverse learner profiles across multiple regions

JBGVS — Bajaj CSR Project 2021

Data Entry & Management Intern

  • Managed and processed ∼1,000 beneficiary records with 98% accuracy in Microsoft Excel, meeting all deadlines ahead of schedule
  • Trained 3 peers on data-entry protocols and quality-control procedures, contributing to a 15% reduction in team error rates.

 

 

 

Get in Touch

For more information,
please contact the Career Services Office

For more information, please contact the Careers Services Office

Career Services Office,
SIAS, Krea University
Email:

[email protected]

Tel:

+91 44 6741 2000