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GR

GAYATHRI REDDY

Information Technology student · Aspiring Business Analyst

Hyderabad, Telangana, India

@gayathri_reddy

0 followers

🎓 B.Tech in Information Technology at Matrusri Engineering College · Graduating 2027

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About

Information Technology student with internship experience in business and financial data analysis. Skilled in SQL, Excel, Python, and Power BI, with hands-on experience in KPI reporting, dashboards, data preparation, and trend analysis.

Experience

  • Data Analyst Intern
    Addicatech Solution Pvt.Ltd.
    Jun 2026 – Aug 2026

    Collected, cleaned, preprocessed, and validated data for analytical projects. Analyzed business datasets to identify trends, patterns, and key findings. Prepared reports and dashboards to communicate analytical results clearly. Applied analytical techniques to support business objectives and decision-making.

  • Data analyst Intern
    Bluestock fintech company
    Apr 2026 – Jun 2026

    Analyzed financial and business datasets to identify trends and useful business insights. Cleaned, transformed, and validated data before analysis to improve data quality. Prepared reports and dashboards to track KPIs and present business performance.

Education

Skills

3 to 6 months 3 to 6 months A few months of practice with it.
KPI Analysis Data Analysis Data Visualization
<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
SQL DAX Python Business Analytics

Tools / apps / platforms

3 to 6 months 3 to 6 months A few months of practice with it.
Microsoft Excel Microsoft Power BI
<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
Power Query

Projects

  • Dark Pattern Detection in E-Commerce
    Python, Scikit-learn, Machine Learning

    Analyzed e-commerce page-level features such as urgency messages, pop-ups, button highlighting, and price differences to identify possible dark patterns. Used Python and Scikit-learn to preprocess the data and classify potential dark patterns, then evaluated the model results to understand its performance.

  • E-Commerce Customer & Business Insights
    SQL, Python, Power BI

    Analyzed e-commerce sales and customer data using SQL and Python to understand customer behavior, product performance, and sales trends. Created a Power BI dashboard to present important business information and identify useful patterns. Used the findings to generate insights that could support sales and marketing decisions.

  • Sales Performance & Business Insights Analysis
    Python, SQL, Power BI, Machine Learning

    Analyzed sales and business data using SQL and Python to understand sales performance, trends, and patterns. Created a Power BI dashboard to present key sales metrics and business findings, and applied machine learning techniques to predict future sales. Used the analysis and prediction results to identify useful insights and provide business recommendations.

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