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Data Analyst with less than a year in SQL, Tableau & 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
Results-driven Data Analyst with hands-on experience in SQL, data visualization, statistical analysis, and ETL pipelines. Proficient in developing interactive dashboards using Tableau and Power BI, writing advanced SQL queries (joins, subqueries, CTEs, window functions), and performing data cleaning, transformation, and validation. Skilled in translating complex datasets into actionable business insights through KPI dashboards, trend analysis, and predictive reporting. Collaborative team player experienced in working with cross-functional stakeholders to deliver data-driven solutions.
D. Y. Patil College of Engineering, Pune
Bachelor of Engineering · Computer Engineering
November 1, 2022 – June 1, 2025
Government Polytechnic, Pune
Diploma · Electronics and Telecommunication
August 1, 2019 – August 1, 2022
Finura Cloud Technologies
Web Developer Intern
February 1, 2024 – April 1, 2024
India
Amazon Prime Subscriber Analytics Dashboard
June 1, 2026 – Present
Analyzed subscriber growth and content engagement KPIs using Python (pandas) for data cleaning, transformation, and pre-processing - enabling end-to-end ETL workflows. Built and optimized data models with advanced DAX measures for KPI computation, filtering, and business intelligence reporting. Developed interactive dashboards with bookmarks, buttons, and cards to enable self-service BI capabilities and support stakeholder reporting needs. Documented dashboard design specifications and data transformation logic for maintainability and knowledge transfer.
Sales Insights Dashboard
June 1, 2026 – Present
Collected and analyzed 400K+ sales records to deliver insights on Total Revenue (69K+), Profit Margin (21%), and category-wise performance - demonstrating large-scale data analysis skills. Wrote advanced SQL queries including joins, subqueries, and aggregations to extract, validate, and cross-check dashboard metrics against source data, ensuring data integrity. Developed interactive KPI dashboards with dynamic slicers (Year, Month, Sales Type, Payment Mode) using Tableau and Power BI, aligned with business visualization best practices. Performed data cleaning, transformation, and validation using Power Query (ETL), ensuring data accuracy and readiness for statistical reporting. Designed a star-schema data model with relationships across fact and dimension tables, applying data warehousing and data modeling best practices. Identified trends, patterns, and correlations in sales data to support business decisions and predictive insights.
Accenture Data Analytics and Visualization Virtual Experience
Forage
June 1, 2026 – Present
Salesforce Virtual Experience
Forage
June 1, 2026 – Present
Achieved a perfect score (100%) on the 'Application Developer — Microsoft Analytics (Power BI)' test, indicating comprehensive knowledge and proficiency in Power BI.
Strengths
Limitations
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to learning and applying data analytics skills in diverse scenarios (Sales Insights, Amazon Prime Subscriber Analytics). The internship experience, though short, shows exposure to a professional environment. The certifications from Forage (Accenture, Salesforce) indicate a drive for continuous learning and alignment with industry-relevant tools. The breadth of skills (SQL, Power BI, Tableau, Python, Excel, Data Modeling) suggests adaptability and a willingness to explore different technologies, which is positive for cultural fit in a dynamic team. However, the psychometric test score indicates potential areas for growth in aspects like work attitude or stress handling, which are important for team dynamics.
Soft Skills & Operational Fit
The candidate's resume highlights 'Stakeholder Collaboration', 'Requirement Gathering', 'Data Governance', and 'Analytical Thinking' as soft skills. The project descriptions and internship experience show collaboration with cross-functional teams and translating requirements into actionable improvements, which aligns well with the collaborative nature of a Data Analyst role. The psychometric test score (255/500) suggests some areas for development in logical reasoning, work attitude, stress handling, or team collaboration, which could impact operational fit in high-pressure environments.