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Data Science with less than a year in SQL, Python & Data Analysis
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented Data Science graduate with experience in SQL, Python, data analysis, and dashboard reporting. Skilled in data cleaning, preprocessing, exploratory data analysis and SQL. Strong analytical and problem-solving abilities with interest in Machine Learning evaluation and operational analytics.
Bhavans Vivekananda College of Science, Humanities and Commerce
B.Sc. (Honours) · Data Science
N/A – June 30, 2025
UNP Education
Data Science and Machine Learning Intern
July 1, 2024 – December 1, 2024
India
Diabetes Percentage Analysis
June 23, 2026 – Present
Analyzed structured healthcare datasets using Excel, Python, and SQL to identify trends and key indicators. Conducted data validation and preprocessing to ensure accuracy before analysis. Prepared summary insights and visual reports for analytical decision support.
Garment Worker Productivity Analysis
June 23, 2026 – Present
Consolidated multi-source datasets for productivity and performance analysis. Performed trend and variance analysis to identify efficiency gaps and key drivers. Delivered concise analytical summaries aligned with business reporting requirements.
Data Analytics Virtual Internship
Forage
January 1, 2026 – Present
OCI Generative AI
Oracle University
January 1, 2025 – Present
Data Science and Machine Learning Internship
UNP Education
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's projects and internship align well with a data science career path, indicating a clear interest and commitment to the field. The diversity of projects (healthcare, garment productivity) shows an ability to apply data analysis across different domains. The certifications, including Generative AI, suggest a proactive approach to learning and staying current with emerging technologies, which is a positive cultural indicator for growth-oriented teams. However, the overall experience level is entry-level, which might require more mentorship in a senior-level team.
Soft Skills & Operational Fit
The candidate demonstrates foundational analytical and problem-solving skills through project work and internship experience. Collaboration is mentioned in the internship description. The focus on data cleaning, validation, and reporting indicates an operational fit for roles requiring meticulous data handling and clear communication of insights. However, the resume does not provide sufficient detail to assess advanced soft skills like leadership, conflict resolution, or complex stakeholder management.