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Power Bi Data Analysis

Location:
Pune, Maharashtra, India
Salary:
2.5 - 3 LPA
Posted:
February 22, 2025

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Resume:

Sonali Vijay Pawar.

Email – ***************@*****.***

Phone No. – 911-***-****

LinkedIn Profile - https://www.linkedin.com/in/sonalivpawar1110 Professional Summary

Detail-oriented and analytical Data Analyst with hands-on experience in data analysis and visualization. Proficient in Power BI, Excel, MySQL, and PostgreSQL, with a strong ability to derive actionable insights from complex datasets. Passionate about continuous learning and applying data-driven decision-making to solve real-world challenges. Education

• Bachelor of Engineering 2020- 2023

Sant Gadage Baba Amaravti University – MGICOET

Percentage – 78.62%

• Diploma 2017-2020

Maharashtra State Board Of Technical Education (MSBTE) – GPK Percentage – 87.11%

• SSC 2016-2017

Maharashtra state Board of Secondary and Higher Secondary Education, Pune Percentage – 83.40%

Technical Skills

Data Analysis & Visualization: Power BI, Excel

Database Management: MySQL, PostgreSQL

Soft Skills

Strategic Time Management

Synergistic Collaboration

Articulate Communication

Meticulous Attention to Detail

Presentation Skills

Continuous Learning

Projects

Blinkit Analysis

Analyzed extensive datasets from Blinkit to identify patterns and improve operational efficiency.

Created interactive Power BI dashboards to visualize key metrics and performance indicators.

Designed and implemented a comprehensive analysis of Blinkit's operational and sales data to identify key performance indicators and trends.

Utilized Power BI to create dynamic dashboards showcasing order volume, delivery times, and customer satisfaction metrics.

Employed MySQL to extract and preprocess large datasets, ensuring data accuracy and consistency.

Delivered actionable recommendations that improved inventory management and streamlined delivery processes

Beverage Consumption Analysis

Investigated consumer behavior trends to provide actionable insights for marketing strategies.

Conducted an in-depth analysis of beverage consumption patterns using large-scale datasets.

Extracted and cleaned data using MySQL, ensuring data reliability for subsequent analysis.

Leveraged Excel to identify trends, seasonal consumption patterns, and demographic preferences.

Developed actionable insights that informed marketing campaigns and product development strategies, resulting in improved customer targeting. Certifications

MySQL Certification

Power BI Certification

Advanced Excel Certification



Contact this candidate