Vikram Vicky

Vaageswari College Of Engineering

Rajanna Sircilla, Telangana, India

Since April 20, 2026

About

My name is Vikram Mengani, and I am from Hyderabad, Telangana. I completed my Bachelor of Science (MECS) in 2022 with 90%, followed by my Master of Computer Applications (MCA) in 2024 with 81%. I have strong technical skills in Python, SQL, HTML, and CSS, along with a foundational understanding of Machine Learning and Artificial Intelligence. I have worked on projects such as Intelligent Cyber Threat Detection using Neural Networks and Face Detection using YOLO. Additionally, I have published research papers related to my work in the Journal of Technology. I am passionate about problem-solving and continuously improving my skills in software development and emerging technologies. I am currently seeking an opportunity where I can apply my knowledge, contribute to real-world projects, and grow as a software professional.

Skills

PythonWeb DevelopersHTML5Web DesignersAi Agent DevelopmentJavaScriptMysqlCSSHTMLTest AutomationJiraDatabase OptimizationGenerative Ai

Education

Vaageswari College Of Engineering

MCA · Computer Applications

November 2, 2022 – December 12, 2024

Key Strengths

Strong proficiency in Python, Data Structures, Algorithms, and Object-Oriented Design.
Experience in building scalable ML systems and production-ready backend services.
Demonstrated impact in improving ML model accuracy (18%), optimizing system performance, and reducing false positives (20%).
Hands-on experience with Computer Vision (YOLO, OpenCV) and ML stack (NumPy, Pandas, Scikit-learn).
Proficiency in engineering practices like Git, Linux, Agile, Clean Code, Code Reviews, and Unit Testing.
Ability to investigate and resolve production issues in end-to-end data pipelines and reinforce edge-case handling.
The candidate's profile is strongly geared towards AI/ML Engineering and Backend Development, which involves data handling and analytical thinking. However, the direct match to a pure 'Data Analyst' role is moderate, as specific data analysis tools and methodologies (e.g., advanced SQL for reporting, BI tools) are not explicitly demonstrated.

Cultural & Operational Fit

Cultural Fit Analysis

Insufficient validated data to assess cultural fit. The provided psychometric test score is 0, indicating a complete lack of positive assessment data for work attitude, stress handling, and team collaboration.

Soft Skills & Operational Fit

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Key Strengths

Strong proficiency in Python, Data Structures, Algorithms, and Object-Oriented Design.
Experience in building scalable ML systems and production-ready backend services.
Demonstrated impact in improving ML model accuracy (18%), optimizing system performance, and reducing false positives (20%).
Hands-on experience with Computer Vision (YOLO, OpenCV) and ML stack (NumPy, Pandas, Scikit-learn).
Proficiency in engineering practices like Git, Linux, Agile, Clean Code, Code Reviews, and Unit Testing.
Ability to investigate and resolve production issues in end-to-end data pipelines and reinforce edge-case handling.
The candidate's profile is strongly geared towards AI/ML Engineering and Backend Development, which involves data handling and analytical thinking. However, the direct match to a pure 'Data Analyst' role is moderate, as specific data analysis tools and methodologies (e.g., advanced SQL for reporting, BI tools) are not explicitly demonstrated.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit