Hey there , I'm Suma Anumolu

Welcome to My GitHub Profile!

I'm a dedicated data analyst with a passion for uncovering insights and making data-driven decisions. On my profile, you'll find a variety of projects that demonstrate my expertise in data analysis, from cleaning and transforming raw data to creating insightful visualizations and reports. I love exploring datasets, identifying trends, and turning complex data into clear, actionable insights. Dive in to see how I leverage data to solve problems and tell meaningful stories.

Data Analyst | Storyteller with Data

About Me:

-🔭 I'm currently engaged in advanced data analytics and business intelligence projects.
-📊 Interests: leveraging data for business insights and strategic decision-making.
-🛠️ Languages and Tools: Python, R, SAS, SQL, Excel, Power BI, Tableau, Looker, Apache Spark

🔥 My GitHub Stats :

Suma Anumolu's Projects

exploring-air-quality-dynamics-in-lower-mainland

Repository Description: Analytical dashboard in R for visualizing air quality data (O3, NO2, temperature) across Lower Mainland regions. Utilizes time series plots, heatmaps, correlation plots, and box plots to provide insights into pollutant levels and trends from October 15-21, 2022.

linear_regression_model

Developed a Linear Regression Model with employee data and dummy variables to estimate toxicant exposure. Used Python (Pandas, NumPy, SciPy, Matplotlib/Seaborn) in Jupyter Notebook and Git for version control. Predicted UrineConcentration based on job category, gender, shift, status, age, experience, and protective equipment.

logistic-regression-

Implementation of Logistic Regression using Pandas, Matplotlib, Seaborn, Scikit-learn, and Plotly for statistical analysis and visualization.

restaurant-market-analysis-insights-for-growth

Utilized Zomato data to create two interactive Power BI dashboards: one for customer optimization and another for market analysis and expansion strategies. Demonstrated skills in data visualization, market analysis, and strategic decision-making.

sales-data-analysis-project

Explore business insights with my sales data analysis project! Leveraging Python for data cleaning, visualization, and SQL integration, I uncover trends in sales performance to drive strategic decisions. Proficient in pandas, matplotlib, seaborn, and SQL. Let's optimize your business strategy with data-driven solutions!

ut-doctoral-dissertations-data-extraction-project

Developed a web scraping project to extract data from the University of Tennessee's doctoral dissertations page using Beautiful Soup and Requests libraries. Parsed HTML content to retrieve dissertation dates, majors, and advisors. Leveraged Pandas to clean and organize the data, and saved the results as a CSV file.

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