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prince K. — Mid-Level Data Analyst from India

prince K.

Mid-Level Data Analyst

India Less than 1 year
Open to offersNew to Platform
Languages
English
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About

Balram K. is a results-driven Data Analyst with specialized proficiency in transforming raw data into actionable business insights. He holds certifications in AI-Powered Data Analytics and GenAI-driven analytics simulations from Tata and CodeWithHarry. Demonstrating expertise in SQL, Python, Power BI, and Excel, Balram excels in data extraction, cleaning, exploratory data analysis, and predictive modeling. He is adept at statistical analysis and employs these skills in creating interactive dashboards and automating reporting workflows. His project experience ranges from analyzing airline delays to implementing risk profiling in banking, providing data-backed recommendations for customer retention and pricing strategy. With a strong command of SQL, Python, and Power BI, he supports data-driven decision-making and drives business intelligence initiatives, making significant impacts in industries such as aviation, food service, finance, and entertainment. Currently pursuing a Bachelor of Commerce, Balram continues to hone his technical skills to bolster his analytical capabilities.

Experience

  • Data Analyst

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    Utilized SQL and Python to perform data extraction, cleaning, and exploratory data analysis across various projects. Developed visualizations and interactive dashboards using Power BI and Excel to convey insights for business stakeholders. Conducted risk analysis and customer segmentation to enhance decision-making and strategy.
  • Project Contributor

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    Engaged in multiple data analytics projects, such as analyzing data on airline flight delays, restaurant business performance, and banking loan portfolios. Focused on assessing trends, producing visual representations of findings, and generating actionable recommendations to improve operational efficiency and market strategy.

Skills & Expertise

Education

  • Bachelor of Commerce (B.Com) — 3rd Year
    Institution not specified · 2025 — 2027

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