Data Analyst with less than a year in SQL, Python, Excel, and Power BI. Experienced in data cleaning
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 Data Analyst with expertise in SQL, Python, Excel, and Power BI. Experienced in data cleaning, data modeling, exploratory data analysis, and building interactive dashboards to support business decisions.
Dr. Babasaheb Ambedkar Marathwada University
Bachelor of Science · Computer Science
N/A – June 30, 2025
Itdaksh Education
Data Science Career Program · Data Science
N/A – June 30, 2025
Sales Performance Dashboard
June 21, 2026 – Present
Cleaned and processed over 150,000 sales records using advanced SQL queries and Excel formulas. Built a comprehensive Power BI dashboard featuring drill down capabilities and custom DAX measures for profit margin tracking. Identified top performing products and regional revenue trends, improving business KPI visibility by 25 percent.
E-Commerce Data Analysis
June 21, 2026 – Present
Executed exploratory data analysis on e-commerce datasets containing over 50,000 transactions using Pandas. Generated actionable insights on customer behavior and product performance, optimizing seasonal inventory planning by 18 percent. Created data visualizations using Matplotlib and Seaborn that identified core revenue drivers and customer segments.
Starbucks Beverage Analytics Dashboard
June 21, 2026 – Present
Cleaned and transformed Starbucks beverage dataset using Power Query, ensuring data accuracy and consistency for analysis. Developed custom DAX measures and KPIs to analyze calories, caffeine, sugar, and protein content across beverage categories. Built an interactive Power BI dashboard featuring KPI Cards, Line Charts, Donut Charts, Bar Charts, and dynamic slicers. Identified high-caffeine beverage outliers reaching 294mg compared to the menu average of 81mg, providing valuable nutritional insights.
Cultural Fit Analysis
The candidate's projects demonstrate a strong alignment with the Data Analyst role, covering key areas like sales performance, e-commerce behavior, and specific domain analytics (Starbucks beverages). The diversity of projects showcases adaptability to different data types and business problems. The combination of academic background in Computer Science and a Data Science career program indicates a proactive approach to skill development. However, without information on collaborative projects or team roles, assessing cultural fit beyond technical alignment is limited.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a detail-oriented approach and an ability to deliver actionable insights, which are crucial for a Data Analyst role. The focus on improving business KPI visibility and optimizing planning suggests a results-driven mindset. However, without psychometric test results or interview data, a comprehensive assessment of soft skills like teamwork, stress handling, or communication clarity in a professional setting is not possible.