Motivated and detail-oriented AI/ML Research Intern with a strong background in data analysis. I am passionate about leveraging cutting-edge statistical techniques and innovative problem-solving methods to drive data-informed decision-making while maintaining data privacy and security.
- Programming: Python, SQL
- Tools: Excel, Tableau, Power BI
- Machine Learning: NLP, Statistical Analysis, Data Visualization
- Key Techniques
- Data Cleaning
- Exploratory
- Data Analysis (EDA)
- Problem-Solving
- Team Collaboration
- Processed and analyzed extensive datasets for machine learning workflows.
- Designed, trained, and optimized machine learning models to address complex business challenges.
- Leveraged deep learning, NLP, and predictive analytics to enhance product functionalities.
- Developed expertise in Python and advanced data analysis techniques.
- Conducted store analysis using data visualization and statistical methods.
- Gained hands-on experience with real-world datasets.
- Created a deep learning model for high-accuracy detection of deepfake images.
- Utilized Python and TensorFlow to preprocess datasets and optimize performance.
- Developed a Python application to collect data via the YouTube API.
- Conducted EDA to analyze viewer engagement and content trends.
- Improved skills in API integration and data visualization.
Bachelor’s Degree in Artificial Intelligence and Data Science
Nehru Institute of Engineering and Technology (2021 - 2025)
CGPA: 8.1
- Introduction to Python - Harvard University
- Python for Data Science - NPTEL Certification
- Machine Learning Course - Internshala with N.S.D.C certification
- Data Visualization - TATA Group Forage Program
- Data Analysis with Python - IBM SkillBuild
- Email: [email protected]
- LinkedIn: linkedin.com/in/chandru-jaiganesh
- GitHub: github.com/chandru-spec
- Portfolio: Kudoswall Portfolio