Surya Ganapathi Kirla

Aspiring Computer Science Graduate | Data Science & AI/ML Enthusiast

Srikakulam, IN.

About

Aspiring Computer Science graduate with a strong foundation in data science, machine learning, and analytics, passionate about leveraging technology to solve real-world problems. Proven ability to develop innovative AI/ML solutions, analyze complex datasets, and visualize insights. Seeking a challenging IT role to contribute to cutting-edge projects while continuously learning and growing in a dynamic environment.

Work

YBI Foundation

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AIML and Data Science with Python Intern

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Summary

Completed a virtual internship focused on foundational Python, data science, and AI principles, culminating in practical model development and data visualization.

Highlights

Developed foundational proficiency in Python, data preprocessing, machine learning algorithms, and AI principles through guided virtual training modules.

Executed model development, performance evaluation, and data visualization using Pandas, NumPy, and Scikit-learn to analyze datasets.

Enhanced critical thinking, remote collaboration, and technical communication through active participation in peer discussions and mentor-led sessions.

Automated data analysis workflows and generated data-driven insights, presenting findings in comprehensive technical reports.

Centre for Training and Employment (CTE)

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Summer Trainee - Python, SQL, Data Science & AI/ML

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Summary

Participated in an intensive summer training program, mastering core technical and soft skills in Python, SQL, data science, and AI/ML fundamentals.

Highlights

Completed an intensive summer camp, mastering core technical skills in Python programming, SQL, data science, artificial intelligence, and machine learning fundamentals.

Solidified foundational concepts through guided hands-on sessions, coding exercises, and interactive peer learning.

Acquired foundational skills in data analysis, model building, and database querying, fueling a deeper interest in technological innovation.

Developed communication and teamwork proficiencies by engaging in collaborative projects and workshops.

Education

Dr. B. R. Ambedkar University, Etcherla

Srikakulam, Andhra Pradesh, India
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Bachelor of Technology Computer Science Grade: 8.1 / 10

APR Junior College, Nagarjuna Sagar

Guntur, Andhra Pradesh, India
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Intermediate (MPC) Mathematics, Physics, Chemistry Grade: 951 / 1000

Languages

English

Certificates

AIML and Data Science with Python Internship

YBI Foundation

Power BI for Beginners

Microsoft

Data Analysis with Python

IBM Developer Skills Network

Machine Learning with Python

IBM

Introduction to Programming for Everybody

Coursera

Skills

Programming Languages

Python, SQL, HTML, CSS.

Libraries & Frameworks

Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn.

Tools & Platforms

Power BI, MySQL, Microsoft Excel, Microsoft PowerPoint, SQL Workbench, PyCharm, Jupyter Notebook, Visual Studio Code, Anaconda, OpenCV, Teachable Machine.

Soft Skills

Effective Communication, Stakeholder Management, People Management, Team Collaboration, Rapport Building, Critical Thinking, Problem-Solving.

Data Analysis

Data Preprocessing, Data Visualization, Data Interpretation, Statistical Techniques, Model Building, Database Querying.

Machine Learning

AI Principles, Supervised Learning, Unsupervised Learning, Classification, Regression, Clustering.

Project Management

Agile Methodologies, Workflow Automation, Technical Reporting.

Projects

Revenue Insights Dashboard - Hospitality Domain

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Summary

Designed and developed an interactive Power BI dashboard to analyze revenue trends in the hospitality sector, improving decision-making through data visualization.

Enhanced Gesture-Controlled Virtual Mouse and Virtual Keyboard System

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Summary

Developed a real-time Human-Computer Interaction (HCI) system utilizing hand gestures to simulate mouse and keyboard functions for contactless interaction.

Open World Object Detection Using OpenCV

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Summary

Developed an Open World object detection system capable of identifying both known and unknown objects in real-time video using custom models and dynamic thresholding.