PAVANSAI RANGDAL
I am
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PAVANSAI RANGDAL
I am a kind-hearted and hardworking person. I am always curious to learn about new technologies and love exploring them. At present, I am learning Agentic AI and Generative AI. I'm a good listener, a quick learner, and also good at managing teams. Most importantly, I hate wasting my time. I am also a student learning Code Unnati (SAP), which is being conducted by the EduNet Foundation.
My Skills
Core competencies that drive my performance.
Programming & ML Libraries
Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch)91 %
Jupyter Notebook97 %
Google Collab91 %
Machine Learning & AI Frameworks
TensorFlow96 %
PyTorch97 %
Hugging Face Transformers96 %
Tools
Git (Version Control)91 %
Model Deployment & MLOps
FastAPI91 %
Flask (Model Deployment)98 %
MLflow (Model Tracking & Experimentation)93 %
Soft Skills
Communication97 %
Education
Empowering Creativity through
Aug 2022 - Present
Bachelor of Technology in Computer Science and Engineering - Data Science
KG Reddy College of Engineering and Technology, Hyderabad
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My Projects
Customer Experiences: A Tapestry of Happy Moments
Estimation of Car Purchase Rate
Developed a Machine Learning Model for Estimation of Car Purchase Rate using Artificial Neural Network (ANN). Deployed the project on Streamlit server. Got the accuracy of the Model around 60%.
Xara: Text-to-Speech Application
Developed a Text-to-Speech application using pure Python Program, which can take the input from the user in multiple formats and converts into audio. It has 11 Indian languages and 24 International Languages. Deployed on Streamlit.
Attendance by Face-Recognition
Developed an Attendance system using OpenCV’s HaasCascade_frontal_face model. First, it will capture the student who is present in front of the camera and will detect whether the captured image of the student is real or its picture, if it is real then the attendance is marked in an Excel sheet.
DataStruct-Kit (Python Package)
Developed a Python package offering various advanced data structures and helper methods for Python developers. Published on PyPI.
logictools (Python Package)
Created a toolkit for logical and bitwise operations for educational and developer use. Published on PyPI.
Prodigal Automation (Open-Source Contributor)
Contributed to automation scripts and improvements in the Prodigal-Automation open-source project.
Contact Information
Email : pavansai [email protected]
Phone : +91 7386627447
LinkedIn : www.linkedin.com/in/rangdal-pavansai
Github : https://github.com/Pavansai20054
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