I am a passionate data analyst based in Pune, India. With a strong foundation in data analysis and visualization tools like Power BI and Tableau, I enjoy transforming raw data into clear insights that assist stakeholders in making informed decisions. I could further enhance my skills through various projects and continuous learning in the field of analytics and programming. My interests include traveling, cooking, and drawing, which often inspire my work and creativity.…

Ishwari Kishor Joshi

I am a passionate data analyst based in Pune, India. With a strong foundation in data analysis and visualization tools like Power BI and Tableau, I enjoy transforming raw data into clear insights that assist stakeholders in making informed decisions. I could further enhance my skills through various projects and continuous learning in the field of analytics and programming. My interests include traveling, cooking, and drawing, which often inspire my work and creativity.…

Available to hire

I am a passionate data analyst based in Pune, India. With a strong foundation in data analysis and visualization tools like Power BI and Tableau, I enjoy transforming raw data into clear insights that assist stakeholders in making informed decisions. I could further enhance my skills through various projects and continuous learning in the field of analytics and programming. My interests include traveling, cooking, and drawing, which often inspire my work and creativity.

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Language

English
Advanced
Hindi
Advanced
Marathi (Marāṭhī)
Fluent

Work Experience

Data Analyst at seed infotech
May 14, 2025 - September 29, 2025
Completed Data Analyst training at Seed Infotech. Gained hands-on experience in Power BI, Excel, SQL, and Tableau. Worked on projects like Netflix Dashboard and Global Market Analysis. Performed data cleaning, transformation, and created interactive dashboards with KPIs and visualizations to derive insights.

Education

Bachelor of Science at Savitribai Phule Pune University
August 15, 2022 - March 4, 2026
Pursuing Bachelor of Science from Savitribai Phule Pune University. Developed strong analytical and problem-solving skills through coursework in mathematics and statistics. Completed data analysis training and projects using Power BI, Excel, SQL, and Tableau, including dashboards like Netflix Data Analysis and Global Market Analysis.

Qualifications

Advanced Certification in Data Analytics
May 15, 2025 - September 29, 2025
Completed advanced training in Data Analytics covering Power BI, Excel, SQL, and Tableau. Gained hands-on experience in data cleaning, data transformation, and data visualization. Built interactive dashboards and performed analysis on real-world datasets to generate actionable insights and support data-driven decision making.
Python Programming Certification
January 1, 2025 - April 21, 2026
Learned Python programming fundamentals including data structures, functions, and libraries such as Pandas and NumPy. Applied Python for data analysis, data manipulation, and basic automation tasks. Worked on small projects to analyze datasets and improve problem-solving skills.
Certificate of Appreciation – Robotex India
September 20, 2024 - September 23, 2024
Volunteered in a technical event organized by Robotex India. Contributed to event activities, coordination, and participation. Gained exposure to technology, teamwork, and problem-solving. This experience helped improve communication skills and strengthened interest in technical and data-driven fields.

Industry Experience

Education, Consumer Goods
    paper Netflix Data Analysis Dashboard – Power BI

    Developed an interactive Power BI dashboard to analyze Netflix content data and understand trends in movies and TV shows available on the platform. The project involved data cleaning, transformation, and visualization to generate meaningful insights from the dataset.

    Key analysis included identifying the distribution of Movies vs TV Shows, content released over the years, top content-producing countries, and popular genres. Interactive visuals such as bar charts, pie charts, KPIs, and slicers were used to make the dashboard user-friendly and insightful.

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