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Data Analyst with less than a year in SQL, Power BI, Python, and data visualization.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Data Analyst with hands-on experience in SQL, Power BI, Python, and data visualization. Skilled in data cleaning, ETL processes, dashboard development, and KPI reporting. Built interactive dashboards and performed exploratory data analysis to support data-driven decision-making.
Dr. Ambedkar College
Higher Secondary Certificate (HSC)
N/A – May 31, 2021
Santaji Mahavidyalaya
Bachelor of Computer Applications (BCA)
N/A – June 30, 2024
Ramdeobaba University
Master of Computer Applications (MCA)
N/A – June 30, 2026
Yashoda School
Secondary School Certificate (SSC)
N/A – May 31, 2019
Sales Insights Dashboard
June 27, 2026 – Present
Performed ETL and data transformation using SQL queries (JOIN, GROUP BY, aggregations). Developed interactive Power BI dashboard tracking revenue, sales quantity, and market KPIs. Created DAX measures for YoY revenue comparison and performance analysis. Analyzed sales data across 4+ markets and identified top 20% customers contributing majority revenue.
Telco Customer Churn Analysis
June 27, 2026 – Present
Cleaned and processed 7,000+ customer records using Pandas. Performed EDA to identify churn patterns among month-to-month and fiber-optic users. Created visualizations using Matplotlib and Seaborn to highlight retention trends. Derived actionable insights to improve customer retention strategies.
Cultural Fit Analysis
The candidate's projects demonstrate an ability to work on diverse data analysis problems (sales insights, customer churn). The listed soft skills suggest a collaborative mindset. However, the lack of professional experience or team-based projects makes it difficult to fully assess cultural fit beyond self-reported skills.
Soft Skills & Operational Fit
The candidate lists teamwork, team management, communication, analytical thinking, and problem-solving as soft skills. These are crucial for a Data Analyst role, indicating a potential for good operational fit. However, without specific examples or assessment data, the depth of these skills cannot be fully validated.