Priya Sharma

Aspiring Software Engineer | Recent Computer Science Graduate

New Delhi, IN.

About

Highly motivated and results-oriented Computer Science graduate with a 9.2/10.0 GPA from Delhi Technological University, seeking an entry-level Software Engineer position. Eager to leverage strong foundational knowledge in data structures, algorithms, and full-stack development, demonstrated through impactful academic projects and a passion for creating efficient, scalable solutions. Committed to continuous learning and contributing to innovative software development teams.

Volunteer

Programming Mentor

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Code for Good Foundation

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Mentored 20+ high school students in programming fundamentals, successfully increasing their engagement and understanding of STEM concepts over a 6-month period.

Highlights

Developed and delivered engaging workshops on Python basics and algorithmic thinking to a diverse group of students.

Provided personalized guidance and support, improving student problem-solving skills by an average of 30% in coding challenges.

Organized and facilitated a student hackathon, leading a team to develop a basic weather application prototype.

Fostered a collaborative learning environment, resulting in 90% positive feedback from participants regarding mentorship quality.

Education

Delhi Technological University

New Delhi, Delhi, India
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Bachelor of Technology Computer Science and Engineering Grade: 9.2/10.0

Courses

Data Structures & Algorithms

Object-Oriented Programming (OOP)

Database Management Systems (DBMS)

Web Technologies

Machine Learning

Operating Systems

Computer Networks

Software Engineering

Awards

Smart India Hackathon Finalist

Ministry of Education, Government of India

Selected as a finalist in a national-level hackathon for developing an innovative solution to a public sector problem.

Dean's List Award

Delhi Technological University

Recognized for outstanding academic performance, maintaining a GPA above 9.0/10.0 for consecutive semesters.

Languages

English

Hindi

Certificates

AWS Certified Cloud Practitioner

Amazon Web Services (AWS)

Machine Learning Specialization

Coursera (Stanford University)

Skills

Programming Languages

Python, Java, JavaScript, C++, SQL.

Web Technologies

React.js, Node.js, Express.js, HTML5, CSS3, RESTful APIs.

Databases

MongoDB, MySQL, PostgreSQL.

Tools & Platforms

Git, GitHub, Docker, VS Code, Jupyter Notebook, AWS (EC2, S3).

Concepts & Methodologies

Data Structures, Algorithms, Object-Oriented Programming (OOP), Agile Methodologies, Machine Learning, Natural Language Processing (NLP), Software Development Life Cycle (SDLC).

Soft Skills

Problem-Solving, Team Collaboration, Communication, Adaptability, Critical Thinking, Time Management.

Interests

Technology & Innovation

Artificial Intelligence, Cloud Computing, Open Source, Cybersecurity.

Hobbies

Photography, Reading, Hiking, Coding Challenges.

References

Available upon request

Projects

"ShopSphere" E-commerce Platform

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Summary

Developed a full-stack e-commerce platform featuring user authentication, product catalog management, shopping cart functionality, and order processing, designed for scalability and an intuitive user experience.

Real-time Social Media Sentiment Analyzer

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Summary

Built a Python-based tool to perform real-time sentiment analysis on social media data, categorizing text into positive, negative, or neutral sentiments using machine learning models.