SHIVANI GAIKWAD

Software Engineer
Not specified, IN.

About

Highly motivated and results-oriented Software Engineer with a strong academic foundation and practical experience in modern technologies, including AI-based systems and data-driven solutions. Proven ability to apply coding skills to develop innovative real-world projects. Eager to contribute to a dynamic, forward-thinking organization as a full-time software engineer, focusing on continuous growth and creating impactful solutions.

Education

MSBTE University

Diploma

Computer Science

Grade: 82.06 %

RTMNU University

Bachelor of Computer Science

Software Engineering

Grade: 8.09 CGPA

Publications

Futuristic Trends in Engineering, Science and Technology

Published by

International Conference

Summary

Presented research at an international conference focusing on emerging trends in engineering, science, and technology, demonstrating engagement with cutting-edge advancements.

Modernization in Engineering Technology and Science

Published by

International Research Journal

Summary

Contributed to a research journal publication on advancements and modernization in engineering technology and science, showcasing commitment to academic research.

Certificates

Internship on Industry 4.0

Issued By

Gustovalley Technovation

Cyber Security

Issued By

Cyber Siksha-TATA-STRIVE

Skills

Python

Pandas, NumPy, Seaborn, Matplotlib.

SQL

Commands, Aggregate Functions, Joins and Unions, Clauses, Windows Function, Case Statement.

Power BI

ETL, Data Cleaning, Data Transformation, Data Modelling, Data Visualization, Dax.

Microsoft Excel

Functions, Pivot Table, Conditional Formatting, Filter, Sorting, Index Match, Charts.

Full Stack

C, C++, HTML, CSS, Javascript.

Basic Knowledge

AI, ML, BDA, Salesforce.

Projects

AI-based High-tech Secured Exam Paper Leakage Control System

Summary

Designed and developed a robust software/hardware system engineered to prevent the unauthorized disclosure of confidential examination information, thereby enhancing the integrity and security of the assessment process.

Weather Analysis Application

Summary

Developed a comprehensive weather analysis application using Python and Jupyter Notebook, designed for real-time data acquisition, in-depth analysis, and compelling visualization of weather patterns.