Junior Data Analyst with less than a year in Python, SQL, and Power BI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated and detail-oriented Data Science graduate with hands-on internship experience in data cleaning, dashboard creation, and statistical analysis. Proficient in Python, SQL, Power BI, and Excel, with a strong foundation in building predictive models and automating workflows. Eager to leverage technical expertise in data-driven problem solving and analytical thinking to contribute to an entry-level professional role.
Periyar University
B.Sc Computer Science · Artificial Intelligence & Data Science
August 1, 2023 – June 30, 2026
Govt Girls Higher Secondary School
Higher Secondary Certificate
June 1, 2022 – May 31, 2023
Novitech
Master Class Internship
June 1, 2026 – Present
India
Immaculate Technologies
Data Analytics Intern
January 1, 2026 – June 1, 2026
India
Generative AI Tweets Analysis
January 1, 2026 – Present
Analyzed 20,000+ tweets for sentiment trends.
Trip Planning Checklist Automation
January 1, 2026 – Present
Automated Excel checklist using VBA, reducing manual work by 30%.
Customer Churn Prediction
January 1, 2026 – Present
Built churn model and Power BI dashboard to analyze churn factors.
Basic Excel Certification
Unknown
October 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects and internships show a willingness to learn and apply new technologies, which is a positive indicator for cultural fit in a dynamic environment. The 'Naan Mudhalvan - Volunteer' certification suggests community involvement. However, the overall breadth of experience is limited to entry-level data analysis tasks, which might require significant mentorship to align with a senior data science role. The target role 'Data Science' is ambitious given the current experience level, which is more aligned with a Data Analyst.
Soft Skills & Operational Fit
The candidate lists 'Attention to Detail', 'Analytical Thinking', 'Time Management', and 'Teamwork' as soft skills. These are beneficial for a data science role, particularly the analytical thinking and attention to detail which are crucial for data integrity and model accuracy. However, without specific examples or assessment data, the depth of these skills cannot be fully evaluated.