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Data Analyst at Immersive Infotech
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Competencies
Expertise in creating intuitive dashboards and visualizations using QlikSense and QlikView.
Proficient in designing scalable data models to meet complex business requirements.
Strong skills in SQL for efficient data extraction, transformation, and analysis.
Hands-on experience with Python, Pandas, Numpy for data manipulation and analysis.
Education
Summary
Dedicated Data Analyst with a Computer Science background, specializing in developing dashboards and data models that enable strategic decision-making. Skilled in SQL, Python, and QlikSense, with a proven track record of translating complex data into actionable insights.
Key Achievements
- Designed and maintained QlikSense dashboards to streamline data visualization for business stakeholders
- Collaborated with cross-functional teams to translate data needs into actionable insights
- Developed efficient data models enhancing reporting accuracy and performance
Experience
Data Analytics
Designed, developed, and maintained QlikSense dashboards and Data Modeling to meet business stakeholders’ data requirements.. Collaborated closely with business teams to translate data needs into effective QlikSense solutions.. Developed dashboards by integrating Snowflake with BI tools like Power BI and QlikSense for real-time analytics.. Designed and implemented ETL pipelines to extract, transform, and load data from various sources into Snowflake, ensuring data quality and optimizing performance.. Worked as data analytics in Front-end (Qlik sense) and data engineer in back-end (Snowflake, Azure, AWS).. Integrated data from multiple sources using Snowflake to enable comprehensive visualizations and ensure data consistency across dashboards.. Created a web application Project from scratch using Django (Python, SQL, HTML, CSS, JavaScript).. Implemented security features like user Authentication.