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Data with less than a year in Data Cleaning & Visualization
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Assessing your cultural and operational fit
Data Analyst with hands-on experience in Excel, SQL, Power BI, and Python. Skilled in data cleaning, exploratory data analysis (EDA), and building dashboards to generate actionable insights. Experienced in validating large datasets and improving data accuracy in a business environment.
Sharadchandra Pawar College of Engineering
B.E · Computer Engineering
August 1, 2020 – June 30, 2024
Bajaj Life Insurance
Operation Executive
August 1, 2025 – Present
Pune, Maharashtra, India
AirBnB Performance Analysis
June 1, 2026 – Present
Performed exploratory data analysis (EDA) on Airbnb listings and reviews to uncover trends in pricing, availability, and customer ratings. Utilized Python libraries such as Pandas, Matplotlib, and Seaborn for data processing and visualization. Generated insights to assist in pricing strategies and customer satisfaction improvements.
View ProjectEcommerce Sales Analysis
June 1, 2026 – Present
Conducted ecommerce sales analysis using Excel to identify trends, top products, and regional performance. Built dynamic dashboards with Pivot Tables, Charts, and advanced formulas for data visualization. Derived actionable insights on customer behavior and sales patterns to support business decisions.
Data Science
Mitcon
June 1, 2026 – Present
SQL and Relational Databases 101
IBM
June 1, 2026 – Present
Data Analysis with Python
Unknown
June 1, 2026 – Present
Power BI
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects, while relevant to data analysis, are personal and academic in nature, indicating a foundational interest. The professional experience is in an 'Operation Executive' role, which involves data tasks but is not a dedicated Data Analyst position. The breadth of skills covers common data tools (Excel, SQL, Python, Power BI), suggesting a willingness to learn and adapt. However, the lack of diverse industry experience or team-based data projects limits the assessment of cultural fit in a dynamic data team environment.
Soft Skills & Operational Fit
The candidate demonstrates an ability to work with large datasets, identify inconsistencies, and improve data accuracy, which are critical operational skills. Their project descriptions indicate a problem-solving approach to data analysis. However, without psychometric or English test scores, a comprehensive assessment of soft skills like logical reasoning, work attitude, stress handling, and team collaboration is not possible.