PAPEPALLI PURUSHOTHAM REDDY

Aspiring Data Scientist | AI & Machine Learning Specialist
Bengaluru, IN.

About

Highly motivated B.Tech student and aspiring Data Scientist with hands-on experience in leveraging Python, SQL, and machine learning to derive actionable insights from complex datasets. Proven ability to develop and deploy Edge AI systems, conduct comprehensive data analysis, and create interactive dashboards that optimize operations and support strategic decision-making. Eager to contribute strong analytical and programming skills to drive organizational efficiency and growth in a dynamic data science environment.

Work

Intel
|

Intern

Bengaluru, Karnataka, India

Summary

As an Intern at Intel, I contributed to the development and deployment of Edge AI systems and parking management solutions to enhance campus traffic management and safety.

Highlights

Developed and deployed an Edge AI system for campus traffic management, successfully improving safety and optimizing traffic flow by 15%.

Leveraged OpenCV and Optical Character Recognition (OCR) to accurately analyze vehicle movement in real-time, generating 98% accurate actionable insights for operational improvements.

Designed and implemented a dynamic parking management system, incorporating real-time notifications and visual analytics to ensure efficient and secure campus traffic management.

Education

Gitam
Bengaluru, Karnataka, India

Bachelor of Technology

Computer Science

Grade: 7.9

Narayana Junior College
Renigunta, Andhra Pradesh, India

Intermediate (Pre-University)

Science

Grade: 94.10%

Masterminds IIT Talent EM HS
Madanapalle, Andhra Pradesh, India

High School Diploma (SSC)

General Studies

Grade: 82.65%

Languages

English
Telugu

Certificates

Data Science Programme

Issued By

EXCELR

Skills

Programming Languages

Python, Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, C, SQL.

Databases & Business Intelligence

SQL, Power BI, Microsoft Excel, Tableau.

Machine Learning

Clustering (K-Means, DBSCAN), Regression, Classification, Model Evaluation, Hyperparameter Tuning.

Tools

Jupyter Notebooks.

Specialized Training

Data Science Programme (EXCELR).

Projects

Customer Segmentation Using Clustering Techniques

Summary

Led a comprehensive project on customer segmentation using advanced clustering techniques to analyze purchasing behavior and inform targeted marketing strategies.