Machine Learning Supply Chain

GOSULA GOPIKA REDDY

Hyderabad – ****** +91-824**-***** *******************@*****.***

Professional Summary

Highly motivated and detail-oriented Computer Science Engineering student with strong foundational knowledge in software development, problem-solving, and data handling. Proven ability to learn quickly, collaborate in team environments, and deliver practical solutions using modern technologies. Seeking an entry-level opportunity to contribute to innovative projects and grow within a dynamic organization.

Education

Bachelor of Technology (B.Tech) – Computer Science Engineering SV College of Engineering, Kadapa 2021 – 2025 CGPA: 75% Intermediate (M.P.C Stream)

Narayana Junior College, Nellore 2019 – 2021 89.5% Secondary School Certificate (S.S.C)

Nagarjuna English Medium High School 2018 – 2019 GPA: 9.2 Technical Skills

• Programming Languages: Python, Java, C, SQL

• Web Development: Exposure to Full Stack (Front-end & Back-end) Concepts

• Tools & Technologies: Visual Studio Code, GitHub, Jupyter Notebook

• Database Management: Basic knowledge of relational databases and queries Core Competencies

• Strong Analytical & Logical Thinking

• Effective Communication and Team Collaboration

• Time Management & Task Prioritization

• Fast Learner with Growth Mindset

Internships & Certifications

Intern – Python Full Stack Development

EXCELR EdTech Duration: 2 Months

- Worked on both front-end (HTML, CSS, JavaScript) and back-end (Python, SQL) development basics.

- Participated in real-time project simulations and debugging exercises. Workshop on Artificial Intelligence Tools

- Gained insight into AI trends and tools including basics of Natural Language Processing (NLP) and Machine Learning.

Academic Project

Title: Blockchain-Based Vaccine Supply Chain and Operational Efficiency of Electric City Buses using Machine Learning

- Developed a blockchain-enabled platform ensuring secure and transparent vaccine supply chain operations.

- Applied ML techniques to forecast energy consumption of electric buses, using time and frequency domain features from speed signals.

- Focused on optimizing operational efficiency and resource usage. Extracurricular Activities

• Passionate public speaker; participated in several intra-college speaking events.

• Regular badminton (shuttle) player with keen interest in team sports.

• Enthusiastic music listener for relaxation and creativity.

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