Entry-Level Software Engineer with a focus on Fullstack Development, Machine Learning, and DevOps.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
To work in a challenging environment where I can demonstrate my skills with sincerity, dedication, and smart work, contributing to the growth of your esteemed organization as well as my own professional development.
ANNMACHARYA INSTITUTE OF TECHNOLOGY AND SCIENCES
B.TECH (CSE) · Computer Science Engineering
August 1, 2020 – June 30, 2024
Product Demand Prediction Using Machine Learning
January 1, 2020 – June 1, 2024
Developed in Python using tools like Pandas, NumPy, Scikit-learn. Applies models such as Linear Regression, Random Forest to predict product demand. Estimates future needs based on past sales, seasonal trends, and other related factors. Supports maintaining right stock levels, preventing shortages, and avoiding excess inventory. Helps make better decisions, reduce costs, and keep customers satisfied, with accuracy usually between 70%-95%.
Event Management System
January 1, 2020 – June 1, 2024
Developed a full-stack Event Management System using ASP.NET Core Web API, Angular, and SQL Server. Implemented JWT Authentication and Role-Based Authorization for secure access. Created CRUD operations for events, sessions, speakers, and categories. Built a responsive frontend using Angular, TypeScript, RxJS, and Angular Forms. Added features like pagination, Swagger documentation, exception handling, and unit testing using NUnit & Moq.
Certified in Microsoft Azure Devops
Naresh ITechnologies
June 1, 2026 – Present
Machine learning with python
Zebo.ai
June 1, 2026 – Present
Data science Training program
Skill Dzire Technologies Pvt limited
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show a breadth of interest across full-stack web development and machine learning/data science. This diversity could indicate adaptability and a willingness to learn new domains. However, without professional experience, it's difficult to assess cultural fit beyond academic project involvement. The target role is 'Software Engineer', which aligns with the technical skills demonstrated in projects.
Soft Skills & Operational Fit
The candidate lists teamwork, time management, leadership, effective communication, critical thinking, and problem-solving as soft skills. While these are valuable, there is no practical experience or assessment data to validate their operational fit in a professional setting. The academic projects suggest some level of project execution and problem-solving, but the depth is unknown.