Poojitha Jayareddygari
Charlotte,NC
Summary
Data-focused professional specializing in data analysis, visualization, and machine learning. Proven track record in designing and deploying full-stack applications and developing predictive models. Expertise in transforming complex datasets into actionable insights using Python, SQL/MySQL, D3.js, and Tableau/Power BI.
Overview
2
2
years of professional experience
1
1
Certification
Work History
Coding Tutor
Whitehat Jr.
04.2023 - 06.2024
Facilitated engaging one-on-one lessons for students on Python. Assisted students in understanding programming concepts and problem-solving techniques. Collaborated with fellow tutors to share best practices and resources for teaching. Maintained a positive learning environment that encouraged student participation and curiosity.
AI/ML Intern
Cantilever Labs
Hyderabad, Telangana
07.2022 - 09.2022
Designed handwritten digit recognition system leveraging image processing and deep learning, resulting in superior classification accuracy.Gained proficiency in neural networks and natural language processing, focusing on model optimization.Assisted in AI/ML projects, driving improvements in user engagement and overall system performance.
Education
Master of Science - Information Technology
University of North Carolina At Charlotte
Charlotte, NC12-2025
Bachelor of Technology - Computer Science And Engineering (AI/ML)
JNTU
Hyderabad, India05-2024
Skills
- Python programming and R
- SQL and database design
- Data analysis and cleaning
- Deep learning and neural networks
- Statistics and SAS
- Machine learning techniques
- Apache Spark and ETL processes
- Tableau for data visualization
Projects
- Fuzzy Rule-Based Health Advice System – Django-based web app with fuzzy logic inference; modeled 61 health attributes across nine organ systems for personalized health insights.
- EMR – Neurology Clinic System – Designed BCNF MySQL database; developed Python API for secure role-based access, appointments, and patient management.
- Deepfake Text Detection (BERT-CNN-LSTM Fusion) – Hybrid model for AI-generated text detection; preprocessing, embedding, sequence modeling, high accuracy.
- Differential Privacy in Location Data – Applied Sensitivity Hull & Planar Isotropic Mechanism to preserve privacy while minimizing noise.
Publications
- “A Survey on Detection of Deepfake Text and Sentiment Analysis using Machine Learning Models”, CRC Press, 2025. DOI: 10.1201/9781003504832-8
Certification
- AWS Academy Graduate - AWS Academy Data Engineering
- Statistics 101 - IBM
Timeline
Coding Tutor
Whitehat Jr.
04.2023 - 06.2024
AI/ML Intern
Cantilever Labs
07.2022 - 09.2022
Master of Science - Information Technology
University of North Carolina At Charlotte
Bachelor of Technology - Computer Science And Engineering (AI/ML)
JNTU
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