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Deep Dey

Deep Dey

Data Analyst

Technology / Internet

Mumbai, Maharashtra

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B.E. Computer Engineering graduate from the University of Mumbai with a strong foundation in data analytics. I bring a unique blend of technical expertise in SQL, Python, Power BI, and Tableau, along with the ability to simplify complex data insights for non-technical teams. What sets me apart is my background in teaching, which honed my communication skills and my drive to continuously learn and contribute beyond analytics, through collaboration, brand building, and stakeholder alignment. Whether it’s winning hands-on project competitions or ranking 10th out of 148 participants in the Imarticus Data Science Blogathon ’25. I consistently turn data into decisions that make an impact.I want to be known as a data analyst who not only delivers accurate insights but also inspires action and adds value across teams through clarity, curiosity, and collaboration.

Approximate rate: ₹ 1,500 per hour

Experience

Results-driven Data Analyst with hands-on experience in collecting, cleaning, analyzing, and interpreting complex datasets to drive business decisions. Skilled in building dashboards, automating reports, and developing predictive models to enhance operational efficiency and business performance. Proficient in SQL, Excel, Python, and Power BI/Tableau, with a strong understanding of statistical analysis, data visualization, and machine learning concepts. Experienced in collaborating with cross-functional teams, identifying key trends, and presenting actionable insights to stakeholders. Adept at solving business problems using data-driven approaches and continuously improving analytical processes.

Education

Completed a Bachelor’s degree with a strong foundation in mathematics, statistics, and computer science, providing essential analytical and problem-solving skills. Gained hands-on experience with data analysis, Python programming, SQL, and machine learning through academic projects and certification courses. Demonstrated proficiency in applying statistical methods, exploratory data analysis, and data visualization techniques to real-world datasets.

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