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HL

HARISHINI V LAKKAPPALAVAR

Electronics & Communication Engineering graduate · Data Analytics Intern

Bangalore, Karnataka, India

@harshini_v_lakkappalavar

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About

Electronics & Communication Engineering graduate with hands-on experience in data analytics, SQL, Python, and dashboarding. Skilled in data cleaning, validation, exploratory data analysis, and reporting to generate actionable business insights.

Experience

  • AI & Data Quality Analyst Intern
    Sep 2024 – Jun 2025

    Processed, cleaned, and validated 50,000+ records to improve AI training dataset quality. Automated preprocessing and validation workflows using Python, reducing manual effort by 30+ hours/week. Identified duplicates, missing values, and inconsistencies through robust data validation checks. Performed exploratory data analysis to identify trends, anomalies, and quality issues across structured datasets. Documented data quality processes and collaborated with cross-functional teams to improve workflow efficiency.

Education

  • Bachelor of Engineering
    Visvesvaraya Technological University
    Electronics and Communication Engineering (ECE) · Dec 2021 – Jul 2025

Skills

6 to 12 months 6 to 12 months Most of a year behind them.
Python Data Cleaning Data validation Exploratory Data Analysis
<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
SQL Java NumPy Pandas Reporting Matplotlib scikit-learn Data Wrangling Business Analytics Statistical Analysis

Tools / apps / platforms

<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
Git MySQL GitHub VS Code BigQuery Google Gmail Google Sheets Looker Studio Microsoft Excel Jupyter Notebook Microsoft Power BI Google Cloud Platform Google Workspace software

Projects

  • Customer Churn Analysis
    Python, SQL, Power BI, Pandas, NumPy, Excel, MySQL

    Analyzed 50K+ customer records to identify factors influencing churn and retention. Cleaned and validated customer data, performed exploratory data analysis, and built interactive Power BI dashboards to visualize churn rate, customer segments, retention metrics, and business KPIs.

  • Retail Sales & Customer Insights Analysis
    Python, SQL, Power BI, Excel, Pandas, NumPy, MySQL

    Analyzed 120K+ retail transaction records to identify sales trends, customer purchasing behavior, and product performance. Performed data cleaning, validation, and exploratory data analysis, and developed interactive Power BI dashboards for KPI monitoring.

Courses & certifications

  • IBM Data Analyst Professional Certificate · IBM
  • Google Cloud Digital Leader · Google Cloud
  • Google Data Analytics Professional Certificate · Coursera

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