Introduction

Puneet Kumar Yadav is an Assistant Professor in the School of Engineering and Technology at Noida International University, bringing over three years of teaching experience in Machine Learning, Deep Learning, NLP, Computer Vision and Data Visualization while pursuing his Ph.D. in CSE. A certified expert in Python and Power BI, he has authored 15+ IEEE conference papers, holds three patents, and regularly contributes as a reviewer and invited speaker at leading academic forums.

Certifications

• Machine Learning Course by CloudyML – ID: CloudyML/ML/1/5906
• Python Libraries for Data Science – ID: 4022009
• Web Scraping with Python – Certificate ID: AcJt1zFoHhiwEKAoVTRVimLUhBw5
• Advanced Microsoft Power BI – Certificate ID: ATA9rIML5XFRuIaHu0QlUpnUHP_Q
• Power BI: Dashboards for Beginners – Certificate ID: AQls8aGoJ66Abxd2HxzJiw1_uKMM
• Exploring the Fundamentals of DeepMatch – Certificate ID: AVDH76420011
• Python for Data Visualization – Certificate ID: Afj_z0HhIBQw2OGPrN8Pr5K8FZG

Google Scholar

https://scholar.google.com/citations?user=vs7pq2cAAAAJ&hl=en

Academic Qualifications

• M.Tech. (AI & ML) – Centre for Advanced Studies, Govt. of Uttar Pradesh (CGPA: 8.02/10)
• B.Tech. (CSE) – BN College of Engineering and Technology, Lucknow (CGPA: 7.65/10)

Professional Experience

• Total Teaching Experience: 3+ Years
• Current Institution: Noida International University
• Joining Date: June 2024
• Teaching: Machine Learning, Deep Learning, C++, Patent Guidance

Previous Institutions:

• Alliance University, Bangalore (2023–2024)
• Chandigarh University (2022–2023)
• Ambalika Institute of Management & Technology, Lucknow (2022)

EdTech Experience:

• Academic Tutor, Unacademy (K–12)
• Doubt Solver, Byju’s

Area of Specialization

Machine Learning • Deep Learning • Natural Language Processing (NLP) • Computer Vision • Data Visualization • Artificial Intelligence

Research & Innovation

• Patents: 3 (2 Granted in 2023)
• IEEE Conference Publications: 15+
• Other Publications: CRC Taylor & Francis Book Chapters, Web of Science, Scopus Indexed Journals

Key Research Domains:

• Intrusion Detection
• Brain Tumor Detection
• Smart Healthcare
• Stock Market Volatility
• HVAC Systems
• Sentiment Analysis
• IoT
• AI in Traction Control

Academic Contributions

• Reviewer for multiple IEEE Conferences (2023–2025) including:
  • IEEE ICICACS
  • CVMI
  • ICMNWC
  • ICDCECE
  • INDISCON
  • NMITCON
  • ICICV
• Invited Speaker: Intel India Education Conclave 2023 – Talk on Generative AI & LLMs
• Contributor to FDPs from IIT Kanpur, VIT Chennai, NITTTR Kolkata, and AICTE ATAL programs

Projects & Tools

• AI/ML Projects: Customer Churn Prediction, Sales Forecasting, Smart Home Automation
• Dashboards & Tools:
  • Tableau & Power BI Dashboards
  • SQL for Data Segmentation & Analytics
  • Excel-Based Financial Risk Analysis
• Core Technical Skills: Python, OpenCV, PyTorch, Keras, Scikit-learn, SQL, NLP, YOLO, GitHub, Power BI, Tableau