Data Scientist with 1+ years in Data Analysis & Machine Learning
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Enthusiastic Big Data Engineer with hands-on experience in Data Analysis and Machine Learning projects. Proficient in Python, SQL, Excel, and Power BI, with a strong foundation in data processing and visualization.
Dr.Mahalingam College of Engineering and Technology
Bachelor of Technology · Artificial Intelligence and Data Science
N/A – May 1, 2027
Stella Maris Matriculation Higher Secondary School
HSC
N/A – March 1, 2023
Nandha Infotech
Data Science Intern
June 1, 2025 – June 1, 2026
Coimbatore, Tamil Nadu, India
Pest Detection System
December 1, 2025 – December 1, 2025
Built a YOLO model to classify pest types from images using a custom dataset, aiding smart agriculture decisions with 50% good work completion
Heart Disease Prediction System
September 1, 2025 – December 1, 2025
Implemented a heart disease prediction project that analyzes clinical data to predict the likelihood of heart disease with its critical level
PowerBI course
Coursera
June 1, 2026 – Present
Public Speaking
Unknown
June 1, 2026 – Present
Python for Data Science and Introduction to Machine Learning
Unknown
June 1, 2026 – Present
Achieved 88% on the Data Scientist — Artificial Intelligence exam, indicating a solid grasp of the subject matter and strong performance in the evaluated areas.
Strengths
Limitations
Cultural Fit Analysis
The candidate's academic projects in 'Pest Detection System' and 'Heart Disease Prediction System' show an interest in applying data science to real-world problems, aligning with innovative and impact-driven environments. Their internship at Nandha Infotech and certifications reflect a proactive approach to skill development. The 'Data Scientist Data Scientist' target role aligns well with their education in AI and Data Science and their project experience. The breadth of skills covers core data science tools, indicating a good fit for roles requiring diverse technical application.
Soft Skills & Operational Fit
The candidate demonstrates good communication skills, analytical thinking, and adaptability, as listed in their resume. The psychometric test score of 345/500 suggests a reasonable fit for logical reasoning and work attitude, though specific details on stress handling and team collaboration are not explicitly detailed from this score alone. The English test score of 58/100 indicates potential areas for improvement in professional communication clarity.
Scored 75% on the Data Engineer — Data Platforms exam, showing a competent understanding of data engineering fundamentals, though with room for improvement in advanced topics.
Strengths
Limitations