Vibhuti Bajaj

Vibhuti Bajaj

Bridging Insights, Innovation, and Intelligence

Business Analyst | Data Scientist | Software Developer

About Me

I am Vibhuti Bajaj, a passionate Data Professional with a strong foundation in machine learning, deep learning, and software development. With expertise in Python, SQL, and advanced data modeling techniques, I excel at turning raw data into actionable insights.

My professional journey spans projects ranging from developing real-time fraud detection systems to creating mobile apps that enhance user experiences. Currently pursuing a Master’s in Computer Engineering, I am keen on exploring innovative applications of technology in areas like computer vision and natural language processing.

Whether it's crafting scalable solutions, analyzing trends, or delivering impactful visualizations, I thrive on solving complex challenges and making data meaningful.

Download My Resume

Skills

Programming Languages

  • Python
  • SQL
  • Java
  • JavaScript
  • HTML/CSS

Data & Analytics

  • Data Visualization: Tableau, Power BI
  • Predictive Modeling
  • Statistical Analysis
  • Big Data Handling

Machine Learning

  • Deep Learning
  • Computer Vision
  • NLP
  • Transfer Learning

Tools & Technologies

  • TensorFlow/Keras
  • Scikit-learn
  • OpenCV
  • Flask
  • Docker

Experience

Business Strategy Analyst Intern

RedCarpetUp | May 2023 - Aug 2023

Conducted financial modeling, optimized fraud detection systems, and implemented SQL queries for data analysis.

Data Science Intern

Gray Routes Technology Pvt. Ltd. | Sept 2021 - Apr 2022

Developed predictive models and conducted data analysis to enhance business performance and decision-making.

Machine Learning Research Assistant

University of Guelph | May 2023 - Aug 2023

Worked on sentiment analysis, topic modeling, and NLP-based solutions, delivering insights for social data analytics.

Projects

GI Tract Segmentation Project

GI Tract Segmentation

Developed a segmentation model for GI tract images, including large bowel, small bowel, and stomach regions.

  • Technologies: CNN, Transfer Learning, Python, TensorFlow
  • Outcome: Achieved 92% segmentation accuracy.
View on GitHub
News Category Classifier

News Category Classifier

Built a text classification model to categorize news articles using NLP and machine learning techniques.

  • Technologies: Python, Scikit-learn, NLP
  • Outcome: Improved classification accuracy by 15%.
View on GitHub
Mindful Motion App

Mindful Motion - Advanced Mobile Wellness App

Designed a mobile app promoting wellness through motion tracking, habit-building, and data-driven insights.

  • Technologies: Java, Android Studio
  • Outcome: Increased user engagement by 20%.
View on GitHub
Real and Fake Face Detection

Real and Fake Face Detection

Implemented a deep learning model to detect real and fake faces using CNNs and transfer learning.

  • Technologies: CNN, Transfer Learning, Python, TensorFlow, OpenCV
  • Outcome: Achieved 95% detection accuracy.
View on GitHub

Contact

Email: bajajvibhuti3@gmail.com | Phone: 437-599-7491