I'm passionate about unlocking insights from data and driving informed decisions. As a Data Analyst, I specialize in collecting, cleaning, analyzing, and visualizing data to unveil patterns, trends, and correlations.
- I have hands-on experience working with various data analysis tools and programming languages such as Python, SQL, and Excel.
- Proficient in data manipulation and visualization libraries like Pandas, Matplotlib, Seaborn, and ggplot2.
- Skilled in statistical analysis, hypothesis testing, and machine learning techniques for predictive modeling.
- Experienced in querying and extracting insights from relational databases such as MySQL, PostgreSQL, and SQLite.
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Tableau - Netflix Data Analysis:
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https://github.com/LalitaRautela/Netflix-tableau-dashboard-
- Conducted an in-depth analysis of Netflix data using Tableau to explore viewership patterns, popular genres, and regional preferences.
- Visualized key insights through interactive dashboards and storytelling techniques.
- Identified trends and provided recommendations to optimize content strategy and enhance user experience.
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Python - Hotel Booking Analysis:
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https://github.com/LalitaRautela/Hotel-Booking-Analysis-EDA
- Analyzed hotel booking data using Python to uncover booking trends, seasonality, and customer preferences.
- Utilized data visualization techniques to present findings effectively and identify actionable insights for revenue optimization and customer satisfaction improvement.
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SQL - RSVP Movies Analysis:
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- Performed analysis on RSVP movie data using SQL to understand moviegoer preferences, popular genres, and attendance patterns.
- Extracted key metrics and visualized trends to assist in strategic decision-making for movie selection and scheduling.
Data Science and Analytics Program
- upGrad: Pursuing Data Science and Analytics
- Bachelor of Commerce (BCom)
- Ramanujan College, Delhi University: Graduated 2022
- LinkedIn:https://www.linkedin.com/in/lalitarautela/
- Email: [email protected]
Feel free to explore my repositories and projects. I'm always eager to collaborate and learn from fellow data enthusiasts! Let's connect and explore the world of data together.
Happy coding! π