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Data Analyst with less than a year in SQL, Python & 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
Data Analyst with 6 months of consulting experience across SQL, Python and Power BI. Worked on customer analytics and financial analysis projects — from cleaning raw data to building dashboards that clients used for real decisions. Currently seeking a full-time analyst role.
SDIT, Mangalore
B.E. in Computer Science Engineering · Computer Science Engineering
August 1, 2021 – June 30, 2025
Rubixe
Data Analyst
September 1, 2025 – February 1, 2026
Bengaluru, Karnataka, India
Accolade Tech Solutions
Data Science Intern
September 1, 2023 – October 1, 2023
Mangalore, Karnataka, India
IMDB Movie Dataset Analysis
June 1, 2026 – Present
Wrote 13 SQL queries across joined relational tables using CTEs, RANK/DENSE_RANK window functions, and aggregations to answer business questions on director ROI, revenue trends, and genre performance.
Data Science & Analytics (Gold Category)
NASSCOM
June 1, 2026 – Present
Certified Data Analyst
Datamites
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience includes both an internship and a full-time role in analytics consulting, demonstrating adaptability to different project types and client needs. The projects cover diverse domains (retail, early-stage startup, medical imaging, movie datasets), indicating a broad interest and willingness to tackle varied challenges. The combination of technical skills (SQL, Python, Power BI) and analytical methodologies (clustering, regression, EDA) aligns well with a data-driven culture. The candidate's academic background in Computer Science Engineering further supports a strong foundation for analytical roles.
Soft Skills & Operational Fit
The candidate's project descriptions highlight a structured approach to problem-solving, from data cleaning and validation to analysis and visualization. The ability to document segment profiles and present findings to clients suggests good communication and stakeholder management skills. The use of the elbow method for K-Means validation indicates a methodical and data-driven approach. The candidate appears to be a self-starter, as evidenced by personal projects.