Software Engineer with less than a year in Cloud Computing & Machine Learning
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Assessing your cultural and operational fit
Enthusiastic and detail-oriented COMPUTER SCIENCE AND ENGINEERING graduate with 82% overall academic performance. Aim to work in a challenging work environment where I can utilize my skills towards the development and implementation of new ideas, contributing to the growth of the organization. Quick learner with effective problem-solving abilities and a keen interest in technology innovation.
MVR Engineering college
Bachelor of Technology (BTech) · COMPUTER SCIENCE AND TECHNOLOGY
August 1, 2021 – June 30, 2025
APSWRS/ JR COLLEGE(IIT MEDICAL ACADEMY)
Higher Secondary Education · MPC
June 1, 2019 – May 31, 2021
APSWRS/JR COLLEGE
Secondary School Certificate
N/A – Present
Email spam detection using machine learning algorithm
June 1, 2026 – Present
Email Spam has become a major problem nowadays, with rapid growth of internet users, Email spams is also increasing. People are using them for illegal and unethical conducts, phishing and fraud. Sending malicious link through spam emails which can harm our system and can also seek in into your system. Creating a fake profile and email account is much easy for the spammers. Project Summary: Email spams is also increasing. People are using them for illegal and unethical conducts, phishing and fraud. Sending malicious link through spam emails which can harm our system and can also seek in into your system. Creating a fake profile and email account is much easy for the spammers, they pretend like a genuine person in their spam emails, these spammers target those peoples who are not aware about these frauds. So, it is needed to Identify those spam mails which are fraud, this project will identify those spam by using techniques of machine learning, this paper will discuss the machine learning algorithms and apply all these algorithm on our data sets and best algorithm is selected for the email spam detection having best precision and accuracy.
WORKSHOP ON PYTHON
Unknown
June 1, 2026 – Present
Workshop on Cloud Computing
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic project on email spam detection using machine learning shows an interest in practical applications of technology. The listed skills (C++, Java, SQL, Python, C, HTML) and workshops (Python, Cloud Computing) indicate a broad, foundational interest in various technical areas. However, without professional experience or diverse project types, it's difficult to fully assess cultural fit beyond a general alignment with a technology-driven environment. The candidate is still early in their career, suggesting adaptability and a strong learning curve.
Soft Skills & Operational Fit
The candidate's summary highlights enthusiasm, detail-orientation, quick learning, and effective problem-solving abilities, which are positive indicators for operational fit. However, with no professional experience, these are currently self-proclaimed and untested in a real-world work environment. The academic project shows an ability to work on a defined problem, but the scope of collaboration and independent problem-solving beyond academic guidance is unclear.