Data Analyst with less than a year in SQL, Python, & Power BI
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst with experience in SQL querying, Python data analysis, statistical modeling, and business intelligence reporting. Skilled in data cleaning, exploratory data analysis, and dashboard development using Power BI and Advanced Excel. Experienced in working with structured datasets to analyze trends, build KPI dashboards, and generate insights that support data-driven decision making.
PB Siddhartha College
Master of Science · Computational Data Science
August 1, 2022 – June 30, 2024
PRPM Degree College
Bachelor of Science · Computer Science
August 1, 2018 – June 30, 2021
Cedlearn
Data Analyst Trainee
October 1, 2024 – January 1, 2025
Hyderābād, Telangana, India
Customer Churn Risk Analysis Dashboard
June 18, 2026 – Present
• Developed an interactive Power BI dashboard to analyze customer churn risk using segmentation, retention indicators, and behavioral patterns derived from structured datasets. • Implemented Power BI data models, DAX measures, KPI visuals, and trend charts after preparing datasets through SQL extraction and Excel preprocessing, reducing stakeholder time required to access churn insights by 20%.
Sales Performance & Business KPI Analysis
June 18, 2026 – Present
• Analyzed a transactional sales dataset to evaluate revenue trends, customer purchase behavior, and product performance using advanced SQL queries with Common Table Expressions (CTEs), multi-table JOINs, and window functions such as ROW_NUMBER() and RANK(). • Built SQL aggregation pipelines using GROUP BY, HAVING, and window-based running totals to calculate business KPIs including revenue contribution, product ranking, and customer segmentation for analytical reporting.
Placement Analysis Dashboard
June 18, 2026 – Present
• Built an interactive placement analytics dashboard in Excel visualizing salary distribution, placement success rates, and industry hiring patterns. • Processed datasets using Python Pandas and NumPy for data cleaning, transformation, and aggregation, improving stakeholder data comprehension by 25% through structured visual reporting.
Data Analytics and Visualization Job Simulation [Accenture]
Accenture
January 1, 2025 – Present
Data Analytics Training Program [Cedlearn]
Cedlearn
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a breadth of skills relevant to data analysis, including SQL, Python, Power BI, and Excel. The focus on creating dashboards and analytical reports for business KPIs and insights aligns well with typical data-driven organizational cultures. The academic background in Computational Data Science and Computer Science, combined with certifications, indicates a commitment to continuous learning and skill development. The projects are diverse enough to show adaptability to different data analysis scenarios.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to translate data into actionable insights and improve stakeholder data comprehension, suggesting a focus on practical application and business impact. The internship experience as a Data Analyst Trainee further supports operational fit, demonstrating exposure to typical data analyst workflows. However, without specific psychometric test results, a deeper assessment of work attitude, stress handling, and team collaboration is not possible.