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Software Engineer with less than a year in AI/ML, Data Analytics & Application Development.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science Engineering graduate with strong foundation in programming, software development, database concepts, and technology solutions. Experienced in building AI, data-driven, and application-based projects using Python, Java, C++, SQL, and modern development tools. Strong analytical and problem-solving abilities with interest in technology consulting, digital transformation, application development, and client-focused solutions.
St. Martin's Engineering College
B.Tech · Computer Science and Engineering
August 1, 2022 – June 30, 2026
Loyola High School
Secondary Education
N/A – Present
Sri Chaitanya Junior College
Intermediate
N/A – Present
AI-Based Spectrum Usage Prediction for 5G Networks
June 23, 2026 – Present
Developed a machine learning-based solution for predicting network resource usage. Performed data preprocessing, model evaluation, and analysis to improve prediction accuracy.
Predictive Maintenance System for Industrial Equipment
June 23, 2026 – Present
Developed an analytics-based solution using sensor data and machine learning techniques. Worked on data processing, feature analysis, and dashboard reporting.
Plant Species Identification Using Machine Learning
June 23, 2026 – Present
Built an image classification model using machine learning algorithms. Applied data analysis, model training, and performance evaluation techniques.
MASM Arithmetic Calculator
June 23, 2026 – Present
Developed a command-line calculator using Assembly Language. Applied programming logic, debugging, and system-level concepts.
Python Programming
Kaggle
June 1, 2026 – Present
Full Stack Web Development
Udemy
June 1, 2026 – Present
Data Analytics Virtual Experience
Accenture
June 1, 2026 – Present
Data Analytics Virtual Experience
Deloitte
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show a diverse interest in AI/ML, data analytics, and even low-level programming (Assembly). This breadth of interest, coupled with certifications, suggests a proactive and adaptable individual. The target role of 'Software Engineer' aligns well with the foundational skills and project types, indicating a good potential cultural fit for a learning-oriented and technically diverse team.
Soft Skills & Operational Fit
The candidate lists analytical thinking, communication, team collaboration, quick learning, and adaptability as core skills. These are valuable for a Software Engineer role, especially in dynamic environments. However, without practical experience or specific examples, the depth of these skills cannot be fully assessed.