P Surya Prakash
Artificial Intelligence & Machine Learning Student • Hyderabad, Telangana, India • s**********@gmail.com • +91*******901 • linkedin.com/••••• • drivetube.ai/•••••
Career Objective
Artificial Intelligence & Machine Learning Student with 0 years of experience applying Python, data analysis, and machine learning techniques to analyze large datasets and build predictive diagnostics. Hands-on experience with NumPy, Pandas and Matplotlib; built a graph-analytics system for cellular network fault diagnosis that improved detection and visualization for decision-making. Seeking ML/AI internship or entry-level ML engineer roles to apply model-building and data-processing skills to real-world problems.
Education
Kommuri Pratap Reddy Institute of Technology
Bachelor of Technology in Artificial Intelligence and Machine Learning • Hyderabad, Telangana, India • 2022 – 2026
Siddhartha Junior College
Intermediate Education • Hyderabad, Telangana, India • 2020 – 2022
Technical Skills
Programming Languages: Python,JavaScript
Web Technologies: HTML5,CSS3
Frameworks and Libraries: NumPy,Pandas,Matplotlib,scikit-learn,seaborn
Databases: MySQL,SQL
Data and Analytics: Machine Learning,Data Analysis,Data Visualization
Tools and Methodologies: Jupyter Notebook,Google Colab,Git,VS Code
Concepts & Methods: Graph Analytics,Predictive Modeling
Projects
Deep Graph Analytics for Cellular Performance and Fault Diagnosis
Tools Used: Python, NumPy, Pandas, Matplotlib, Graph Analytics, Machine Learning
- Designed and implemented a graph-analytics pipeline to model cellular network elements and relationships from large-scale performance datasets to surface structural fault patterns.
- Applied data cleaning and feature engineering with Pandas and NumPy to prepare time-series and topological features for machine learning models.
- Developed and evaluated predictive models to detect network faults using supervised learning techniques, improving early identification of failure patterns in test data.
- Built interactive visualizations with Matplotlib to summarize performance bottlenecks and support diagnostic decision-making for network engineers.
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