Gaurav Kumar Jha

Software Engineer

New Delhi, Delhi, India0 mo experience

Key Highlights

Strong foundation in computer science principles.
Hands-on experience with major technologies like Java and Angular.
Proven ability to develop predictive models in data science.

Stackforce AI infers this person is a Software Developer with expertise in E-commerce and Fintech applications.

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Skills

Core Skills

Software DevelopmentJavaData SciencePython

Other Skills

API DevelopmentAngularBootstrapC++Cascading Style Sheets (CSS)Competitive ProgrammingDSAData AnalysisData Analysis and PreprocessingData Structures and AlgorithmsDatabase ManagementDesign DocumentsHTML/CSSHTML5JavaScript

About

🤚 Hi, I have successfully completed my Bachelor's degree in Computer Science from Netaji Subhas University of Technology in the 2022 batch. This comprehensive program has equipped me with a strong foundation in various aspects of computer science. 👩‍💻 Competitive Programming and Programming Skills: I have a keen interest in competitive programming and enjoy solving algorithmic challenges. My proficiency extends to languages such as C++ and Java, which I have extensively utilized to implement efficient and logical solutions. 👨‍⚖️ Software Development Internship at Amazon: During my six-month internship at Amazon, I worked as a Software Developer, gaining hands-on experience in a professional environment. I actively contributed to a significant project that involved logging and storing customer actions for Amazon Pay. This data played a crucial role in troubleshooting payment failures and resolving customer-related issues. ✍ Expertise in Java, Angular, and Spring Boot: I have acquired valuable skills in Java, Angular, and Spring Boot. These technologies have enabled me to develop robust and scalable applications. I have utilized Java for backend development, while Angular and Spring Boot have been instrumental in building dynamic and responsive user interfaces. Overall, I am passionate about programming and continuously strive to enhance my skills. I am eager to take on new challenges and contribute my knowledge and expertise to meaningful projects in the field of software development.

Experience

Amazon

Software Development Engineer Intern

Feb 2022 – Jul 2022 · 5 mos · Bengaluru, Karnataka, India

Collaborated with a team of experienced software engineers to develop and enhance customer-centric applications within the Amazon ecosystem.
Implemented key features and functionality using Java, Spring Boot, and Angular, contributing to the overall improvement of the applications' performance and user experience.
Participated in agile development methodologies, including daily stand-ups, sprint planning, and code reviews, fostering a collaborative and efficient team environment.
Worked on a critical project involving logging and analyzing customer actions for Amazon Pay, enabling developers to troubleshoot payment failures and improve the payment experience for customers.
Gained valuable experience in large-scale distributed systems, API development, and database management, ensuring data integrity and scalability.
Demonstrated strong problem-solving skills and attention to detail in identifying and resolving software bugs and issues.
Actively contributed to the team's knowledge sharing initiatives, sharing insights and best practices through documentation and team discussions.

JavaSpring BootAngularAPI DevelopmentDatabase ManagementSoftware Development

The sparks foundation

Internship Trainee

Aug 2021 – Nov 2021 · 3 mos · India

Conducted a comprehensive internship with The Spark Foundation, where I gained hands-on experience in data science and predictive modeling.
Developed a stock price prediction model by analyzing and processing historical stock data using machine learning techniques and statistical analysis.
Utilized Python programming language and libraries such as Pandas, NumPy, and Scikit-learn to preprocess data, engineer features, and build predictive models.
Implemented time series analysis, regression algorithms, and ensemble methods to create an accurate and robust prediction model.
Evaluated the model's performance using appropriate metrics and iteratively refined it to improve accuracy and reliability.
Presented findings and recommendations to the team, highlighting the potential applications and benefits of predictive modeling in the financial domain.

PythonMachine LearningData AnalysisStatistical AnalysisData Science