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AI Engineer with less than a year in Python, Machine Learning & Data Analytics
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Enthusiastic and detail-oriented Computer Science Engineering graduate (2026) from Sathyabama University, with hands-on experience in Python, SQL, Machine Learning, Data Analytics, and Full Stack Development. Passionate about solving real-world problems through data and technology. Seeking an entry-level roles where I can apply my technical skills, grow professionally, and contribute meaningfully to the organization.
Sathyabama University
B.E. Computer Science Engineering · Computer Science Engineering
August 1, 2022 – June 30, 2026
Sacred Heart School
Higher Secondary Education · PCM
June 1, 2020 – May 31, 2022
Sacred Heart School
Secondary Education · SSLC
N/A – May 31, 2020
Sales Data Analysis Dashboard
January 1, 2025 – December 31, 2025
Designed and built an end-to-end ETL pipeline integrating 4+ data sources for a unified dataset. Created an interactive Power BI dashboard with 5+ KPIs, reducing data inconsistency errors by ~40%. Improved inventory decision-making efficiency by 15% through actionable visual insights.
SciAgent: Multi-AI Agent System
January 1, 2025 – December 31, 2025
Designed a 4-agent LangChain framework automating scientific research workflows end-to-end. Workflow covered hypothesis generation → experiment design → data analysis → report generation. Reduced manual research effort significantly by orchestrating collaborative AI agent.
Diabetes Risk Prediction
January 1, 2024 – December 31, 2024
Built classification models (Decision Tree & Logistic Regression) on a 768-record health dataset. Improved prediction accuracy from 72% to 85% through feature engineering and model tuning. Deployed as a real-time Streamlit web application with response time under 2 second.
Event Management System
January 1, 2024 – December 31, 2024
Gathered user requirements and translated them into functional product features and system design. Designed intuitive user workflows for event scheduling and management using Figma. Improved system usability by structuring clear user flows, reducing manual coordination effort.
Google Data Analytics Professional Certificate
Google / Coursera
June 1, 2026 – Present
Excel, SQL & Python for Data Analysis
Udemy
June 1, 2026 – Present
Machine Learning: Dimensionality Reduction
Cognitive Class, IBM
June 1, 2026 – Present
Full Stack Development (MEAN)
Algox Fusion
January 1, 2024 – Present
Basic Java Programming
Great Learning Academy
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in data science, machine learning, and AI, aligning well with an AI Engineer role. The diversity of projects, from data analysis to multi-agent systems, shows a broad technical curiosity and willingness to explore different facets of AI. The academic nature of all projects and lack of professional experience might indicate a need for mentorship and structured team environments to fully integrate into a professional culture.
Soft Skills & Operational Fit
The candidate lists communication, analytical thinking, problem-solving, team collaboration, and requirement analysis as soft skills. Project descriptions suggest an ability to translate requirements into features and design user workflows, which are positive indicators for operational fit. However, without interview data, the depth of these soft skills cannot be fully assessed.