
Data Science with less than a year in AI & Machine Learning projects
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
B.Tech student in Artificial Intelligence and Data Science with hands-on experience in Python, SQL, Machine Learning, Data Analysis, and AI-based projects. Skilled in data cleaning, preprocessing, EDA, statistical analysis, and visualization. Seeking opportunities in Data Analytics, Data Science, AI, or Software Development.
Meenakshi Sundhararajan Engineering College
B.Tech · Artificial Intelligence and Data Science
N/A – June 30, 2028
Novitech R&D Private Limited
Artficial Intelligence (Internship)
August 21, 2025 – September 21, 2025
Chennai, Tamil Nadu, India
AI Based Leaf Disease Detection
June 16, 2026 – Present
• Developed a CNN-based mobile application for plant disease detection. • Enabled real-time diagnosis with bilingual support and treatment recommendations.
Titanic Survival Prediction
June 16, 2026 – Present
• Built a Random Forest classification model to predict passenger survival. • Applied data cleaning, feature engineering, and model evaluation techniques.
Getting Started with Artificial Intelligence – IBM SkillsBuild
IBM SkillsBuild
March 1, 2026 – Present
Power BI for Data Visualization & Business Intelligence Workshop
Unknown
September 1, 2025 – Present
AI Full Stack Development Workshop
Unknown
August 1, 2025 – Present
Artificial Intelligence Tools & Prompt Engineering Workshop
Unknown
December 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic background in AI and Data Science, coupled with projects and certifications, aligns with a data-driven and innovative culture. The diversity of projects (CNN for disease detection, Random Forest for survival prediction) shows a breadth of interest within the field. However, the lack of extensive professional experience makes it difficult to fully assess cultural fit beyond technical alignment.
Soft Skills & Operational Fit
The candidate's resume indicates a proactive approach to learning through various workshops and certifications. The internship experience suggests an ability to collaborate and work on technical problems. However, the short duration of the internship and academic nature of projects limit the assessment of operational fit and soft skills in a professional setting.