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Data Analyst with less than a year in SQL, Python & 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
Data Analyst with a strong foundation in SQL, Python, Excel, and Power BI. Skilled in cleaning, analyzing, and visualizing data to generate insights and support data-driven decision-making. Interested in collaborating on meaningful analytical work in fast-paced environments.
K.B. College of Thane
B.Com
N/A – June 30, 2025
Sales Performance Analysis Dashboard
March 1, 2026 – April 30, 2026
Built an interactive dashboard to monitor sales, revenue, and profit trends. Used Power BI, DAX, and data modeling to generate actionable business insights. Created KPI reports and visualizations for performance tracking.
Brand Engagement Analysis
December 1, 2025 – February 28, 2026
Analyzed engagement data using Python to identify trends and user behavior Cleaned and processed data using Pandas and NumPy Performed EDA on likes, shares, and comments, Visualized using Matplotlib/Seaborn
Advanced Excel KPI Dashboard
November 1, 2025 – January 31, 2026
Built a KPI dashboard using Excel to monitor key business metrics and performance trends Used Pivot Tables, Charts, and advanced formulas for data analysis and reporting Generated actionable insights through interactive dashboards and reports
Amazon Sales Data Analysis
August 1, 2025 – August 31, 2025
Queried and analyzed Amazon sales data using SQL Performed EDA to evaluate sales trends and customer behavior Used JOINs and aggregation functions (SUM, AVG, COUNT) for insights
SQL
Unknown
June 1, 2026 – Present
Python
Unknown
June 1, 2026 – Present
Advanced Excel
Unknown
June 1, 2026 – Present
Power BI
Unknown
June 1, 2026 – Present
Digital Marketing Certification
OneInfinI
January 1, 2025 – Present
IT Flair Hunt Certificate
Unknown
January 1, 2019 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a proactive approach to learning and applying data analysis tools across different scenarios (sales, brand engagement). The diversity of tools used (SQL, Python, Power BI, Excel) suggests an openness to various technologies and problem-solving approaches. The stated interest in 'collaborating on meaningful analytical work in fast-paced environments' aligns with a team-oriented culture. However, the lack of professional experience makes it difficult to fully assess cultural fit in a real-world work setting.
Soft Skills & Operational Fit
The candidate highlights analytical thinking, problem-solving, team collaboration, and adaptability as professional skills. These are valuable for operational fit in a data-driven environment. The project descriptions are clear and concise, indicating good communication of technical work.