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GA

GUMMA ANKITA

BCA graduate · CRM Data Analyst Intern

Bengaluru, Karnataka, India

@ankita_17

LinkedIn GitHub

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About

BCA graduate with hands-on experience in CRM data analysis, customer analytics, and product documentation through an analyst internship at Inmogic Technologies. Skilled in understanding customer behaviour, explaining technical information clearly, and solving problems quickly.

Experience

  • Data & Product Analyst Intern
    Inmogic Technologies · Bangalore
    Mar 2026 – Present

    Analysed CRM data and prepared business performance reports to help the team understand customer activity and support product decisions. Wrote testing documentation and reporting summaries, checking product features for issues and recording findings clearly. Contributed to product analytics workflows and improved frontend UI components for web-based features.

Education

  • Bachelor of Computer Applications
    The Oxford College of Science
    Computer Applications · 2023 – 2026

Skills

6 to 12 months 6 to 12 months Most of a year behind them.
Testing Reporting Documentation CRM data analysis Customer Analytics
<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
SQL CSS HTML React Python Bootstrap JavaScript Issue Tracking Churn Analysis Sentiment Analysis

Tools / apps / platforms

6 to 12 months 6 to 12 months Most of a year behind them.
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.
GitHub SQLite Tableau

Projects

  • HealthBeep — Medicine Reminder App
    Python, HTML, CSS, JavaScript, SQLite

    Designed a simple reminder app so users can set schedules and get timely notifications.

  • MoodLens — Sentiment Analysis Web App
    HTML, CSS, JavaScript

    Built a tool that classifies customer text as positive, negative, or neutral in real time.

  • Online Shopping Behaviour Analysis
    Power BI, Excel, Python, SQL

    Studied purchasing patterns and customer trends to surface insights for sales and business performance.

  • Customer Churn Analysis
    Python, SQL, Streamlit, Power BI

    Analysed churn trends, contract behaviour, and payment patterns on a telecom dataset to show why customers leave and the revenue impact.

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