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Data Analyst with less than a year in R, Python, SQL, and MS Excel.
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 MSc Statistics graduate with strong analytical and problem-solving skills and hands-on experience in data analysis and statistical modelling. Proficient in R, Python, SQL, and MS Excel for data manipulation and analysis. Experienced in time series forecasting using ARIMA models, regression analysis, and hypothesis testing through academic projects and currently pursuing AI Data Quality Analyst certification. Seeking an entry-level Data Analyst, AI Data Quality Analyst, or Programmer Analyst role to support data-driven decision-making.
Government Victoria College, Palakkad (University of Calicut)
MSC STATISTICS · Statistics
August 1, 2023 – June 30, 2025
Thunchan Memorial Government College, Tirur (University of Calicut)
BSC MATHEMATICS · Mathematics
August 1, 2020 – June 30, 2023
Forecasting the Unemployment Rate in the United States
June 27, 2026 – Present
Applied time series forecasting techniques on historical unemployment data. Developed ARIMA models to predict future unemployment trends. Evaluated model performance and interpreted forecasting results.
AI-Data Quality Analyst
Don Bosco Tech Society
June 1, 2026 – Present
Introduction to Data Analytics
Luminar Technolab
June 1, 2026 – Present
Introduction to MS Excel
Simplilearn
June 1, 2026 – Present
Python - One Roadmap
Unknown
June 1, 2026 – Present
Employability Skills
Wadhwani Foundation
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic background and certifications suggest a strong inclination towards continuous learning and skill development, which aligns well with a growth-oriented culture. The academic project indicates an ability to work independently on defined problems. However, the lack of professional experience or team-based projects makes it difficult to assess collaboration and adaptability in a professional setting.
Soft Skills & Operational Fit
The candidate lists communication, teamwork, time management, problem-solving, continuous learning, conflict resolution, and presentation skills. These are valuable for operational fit and collaboration within a data team. However, without practical experience or specific examples, the depth of these skills cannot be fully assessed.