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Data Analyst with less than a year in Python, SQL, and Machine Learning.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Data Analyst with hands-on experience in Python, SQL, Power BI, Machine Learning, and Data Visualization. Skilled in building end-to-end analytics and predictive modeling projects using real-world datasets. Seeking an opportunity to apply analytical and problem-solving skills in a data-driven organization.
Kamaraj College of Engineering and Technology
Bachelor of Engineering · Computer Science and Engineering
August 1, 2019 – June 30, 2023
Public Policy Insight & Impact Analyzer
June 21, 2026 – Present
Developed an AI-powered policy analysis platform with NLP and automated text analysis. Implementing data pipeline and generating summaries for risk insights and impact assessment. Processed 2,500+ policy documents and reduced analysis time by 60%.
AI Conversational Assistant
June 21, 2026 – Present
Developed an AI conversational system using NLP preprocessing and ML techniques. Evaluated NLP models and improved response prediction accuracy to 85%.
Multiple Disease Prediction System
June 21, 2026 – Present
Evaluating ML models to predict multiple diseases using 10,000+ healthcare records. Optimize interactive visualizations and Streamlit app for predictions with 92% overall accuracy.
Microsoft Power BI Certification
GUVI & HCL
June 1, 2026 – Present
Master Data Science Program Certification
IIT-M GUVI
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in applying data analysis and machine learning to diverse domains like public policy, conversational AI, and healthcare. This breadth of application, coupled with certifications, suggests a proactive and learning-oriented individual. The target role of Data Analyst aligns well with the skills and project experience, indicating a good potential cultural fit for a data-driven organization. However, the lack of professional experience means the ability to navigate corporate culture and team dynamics is unproven.
Soft Skills & Operational Fit
The candidate's project descriptions highlight problem-solving skills, particularly in optimizing processes (e.g., reducing analysis time by 60%) and improving model accuracy. The focus on building interactive applications (Streamlit) suggests an ability to present findings effectively. However, without direct work experience, it's difficult to assess collaboration, stress handling, or adaptability in a professional operational environment.