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Data Science with less than a year in Python, SQL & 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 Scientist with hands-on experience in Python, SQL, and Machine Learning. Skilled in data cleaning, exploratory data analysis, and predictive modeling. Seeking an entry-level opportunity to build data-driven solutions.
Mahendra Institute of technology
B.E - Mechanical Engineering · Mechanical Engineering
August 1, 2022 – June 30, 2025
Salem polytechnic college
Diploma in Mechanical Engineering · Mechanical Engineering
August 1, 2019 – June 30, 2022
Gayathri Hr. Sec. School
SSLC
June 1, 2018 – May 31, 2019
Medical Data Analysis Project
June 23, 2026 – Present
Performed EDA on 5000+ patient records using Pandas and Matplotlib. Handled missing values and outliers using statistical methods. Built a classification model using Scikit-Learn. Evaluated model performance using accuracy and confusion matrix.
Power BI dashboard (medical dataset)
June 23, 2026 – Present
Designed an interactive healthcare dashboard. Analyzed patient trends, disease distribution, and department performance. Created KPI cards, slicers, and visual insights for decision support.
Cultural Fit Analysis
The candidate's projects are academic and focused on data analysis and visualization, which aligns with the technical aspects of a Data Science role. However, the lack of professional experience and diverse project types limits the assessment of cultural fit beyond technical alignment. The candidate is currently pursuing a Bachelor's degree in Mechanical Engineering, which is not directly aligned with Data Science, but the projects indicate a strong interest and self-learning in the field.
Soft Skills & Operational Fit
The candidate lists 'Good communication, Time Management, Leadership, Problems Solving' as soft skills. While these are valuable, there is no evidence or context provided in the resume or assessment data to validate these claims. The candidate's experience level is 0, indicating a lack of professional operational experience.