Nishanth Kandravula

Aspiring Data Analyst & Machine Learning Engineer

Hyderabad, IN.

About

Highly motivated Bachelor of Technology student specializing in Information Technology, graduating in 2025, with a strong foundation in data analysis, machine learning, and software development. Proven ability to transform complex datasets, optimize database performance by 30%, and develop intelligent systems for predictive analytics and content generation. Eager to leverage analytical prowess and technical skills to drive data-driven insights and innovative solutions in a challenging role.

Volunteer

Cultural Event Organizer

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Cultural Event Organizers

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Organized and managed cultural events, fostering community engagement and enhancing campus life for students.

Highlights

Coordinated various aspects of cultural events, ensuring smooth execution and high participant satisfaction.

Managed logistics and resources for events, contributing to successful community gatherings and vibrant campus atmosphere.

Active Volunteer

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Local Tech Community Meetups

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Actively contributed to local tech community meetups, supporting knowledge sharing and networking among professionals and enthusiasts.

Highlights

Supported the organization and facilitation of local tech community meetups, fostering a collaborative learning environment.

Engaged with professionals and enthusiasts, contributing to knowledge exchange and community building within the tech sector.

Education

Kakatiya University

Warangal, Telangana, India
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Bachelor of Technology Information Technology Grade: 7.8 CGPA

TSBIE Board

Warangal, Telangana, India
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Senior Secondary Senior Secondary Education Grade: 71.4%

SSC Board

Warangal, Telangana, India
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Secondary Secondary Education Grade: 8.3 CGPA

Skills

Programming Languages

Java, C/C++, Python.

Web Development

HTML, CSS, JavaScript, Flask, MERN Stack.

Databases

SQL.

Computer Science Fundamentals

Data Structures, Algorithms, Object-Oriented Programming (OOP) Concepts, Operating Systems.

Deep Learning

Standard Deep Learning Models, Deep Learning Concepts.

Data Analysis Tools

Jupyter Notebook, Python Libraries (Pandas, NumPy, Scikit-learn).

Machine Learning

Decision Tree, Predictive Modeling, Pattern Recognition.

Projects

Question and Answer System

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Summary

Created an intelligent Q&A system leveraging machine learning to automatically generate relevant content from any text.

Road Accidents Prediction Using Decision Tree

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Summary

Developed a machine learning model to predict accident likelihood, providing critical insights for transportation agencies.