Neeti Bhalla - Data Analyst

Data Insights & Analytics Expertise
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Data analysis expertise
Transforming data into insights

Neeti Bhalla is a proficient data analyst based in Birmingham, specializing in Python, SQL, Tableau, and Power BI. With hands-on experience in real-world data analysis, she excels in developing interactive dashboards, automating data pipelines, and implementing predictive models for business intelligence. Her key accomplishments include a remarkable 20% increase in e-commerce conversion rates and a 30% enhancement in data processing efficiency, showcasing her ability to drive impactful results through data-driven strategies.

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data analysis dashboard
Data analysis excellence
Transforming insights into action

Data insights unleashed

Transforming data into actionable strategies

  • A realistic high-resolution close-up shot of a computer screen displaying a colorful HR Analytics Dashboard, with various charts and graphs. The setting should have a modern office background, featuring a sleek desk and soft natural lighting, emphasizing the dashboard's visual appeal and functionality. The image should reflect the primary color rgb(50, 170, 39).
    Developed HR analytics dashboard to enhance workforce insights
    Created an HR dashboard for improved workforce insights.
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  • e commerce, data analysis, conversion rates, dashboards
    E-commerce conversion optimization

    Achieved a 20% increase in e-commerce conversion rates through data-driven strategies.

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  • data processing, automation, efficiency, Power BI
    Data processing automation

    Enhanced data processing efficiency by 30% through automation solutions.

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  • predictive analytics, business intelligence, sales trends, dashboards
    Predictive analytics for business intelligence

    Implemented predictive analytics, driving profitability and operational efficiency.

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Let's discuss your data needs!

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Location

Panchkula, Haryana India

Hours
  1. Monday
    9:00am
    –
    10:00pm
  2. Tuesday
    9:00am
    –
    10:00pm
  3. Wednesday
    9:00am
    –
    10:00pm
  4. Thursday
    9:00am
    –
    10:00pm
  5. Friday
    9:00am
    –
    10:00pm
  6. Saturday
    9:00am
    –
    6:00pm
  7. Sunday
    9:00am
    –
    12:00pm