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Data Analyst with 1+ years in SQL, Python, and Tableau.
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 1+ year of rigorous training in SQL, Excel, Power BI, Tableau, and Python. Experienced in data exploration, product metrics analysis, dashboard development, and translating complex data into actionable recommendations to drive product performance and user engagement.
Scaler Academy
Data Science and Machine Learning Program · Data Science and Machine Learning
May 1, 2025 – February 1, 2027
Jyothishmathi Institute of Technology & Science
Bachelor of Technology · Computer Science and Engineering
August 1, 2016 – May 1, 2020
Product Intelligence Dashboard
June 1, 2026 – Present
Developed an interactive dashboard analyzing pricing, ratings, reviews, and engagement metrics. Designed KPI scorecards and visualizations for product performance tracking. Identified factors influencing customer satisfaction and product success. Generated actionable insights to support business and product decisions.
E-Commerce Analytics and Business Insights
June 1, 2026 – Present
Analyzed 100K+ e-commerce orders to identify customer, sales, and operational trends. Performed regional analysis across 27 states and 4,000+ cities using advanced SQL. Built KPI-driven reports using CTEs, joins, and window functions. Delivered recommendations for retention, logistics optimization, and revenue growth.
Demand Drivers Analysis Using EDA and Hypothesis Testing
June 1, 2026 – Present
Conducted EDA to identify key drivers affecting bike rental demand. Applied T-Test, ANOVA, and Chi-Square tests for statistical validation. Evaluated the impact of weather, seasonality, and working days on demand. Recommended strategies for forecasting and operational planning.
Data Science & Machine Learning Program
Scaler Academy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a proactive approach to learning and applying diverse data analysis techniques across different domains (e-commerce, product intelligence, demand forecasting). This indicates a strong learning orientation and adaptability. The pursuit of a Data Science and Machine Learning program further highlights a commitment to continuous skill development, which is a positive cultural fit indicator. However, the lack of professional experience limits the assessment of collaboration and workplace dynamics.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to translate complex data into actionable recommendations, suggesting good problem-solving and communication skills. The focus on business insights and optimization aligns well with operational needs. However, without specific psychometric or English test results, a deeper assessment of soft skills and operational fit is limited.