Data Analyst

Sita Anusha Poosarla

**** ********* **, *********, ** 94087 503-***-**** ********.**********@*****.*** LinkedIn Education

Master of Science, Engineering Management San Jose State University GPA: 3.8 Expected Dec 2020 Master of Science, Civil Engineering Andhra University GPA: 3.9 Apr 2014 Certifications

• Programming for Data Science Nanodegree Udacity Sep 2019

• Certified Six Sigma Green Belt San Jose State University May 2019 Technical Skills

Programming Languages R, Python

Databases SQL, MySQL, PostgreSQL

Tools SQL server, Jupyter Notebook, Rstudio, Git, Tableau, SPSS, Minitab, MS Office, Lucid Charts, Atlassian, Confluence, JIRA, Justinmind Machine Learning Skills Linear/logistic Regression Analysis, Classification trees, Decision boundaries, KNN, K-means, Ensembled methods, Clustering, Association rules, Hypothesis Web Analytics Google Analytics, Google Adwords

Experience

Data Analyst Intern, Helpsy Health, Sunnyvale Oct 2019 – May 2020

• Liaised with stakeholders to understand and translated business into functional requirements to achieve business goals.

• Created detailed functional flow diagrams, user stories, and acceptance criteria.

• Analyzed data using statistical techniques to identify patterns and correlations among the various data points.

• Developed and managed databases and data that supports performance improvement activities using SQL.

• Monitored KPIs on a daily basis to understand the details of the trend patterns using Amplitude.

• Conducted end to end UAT to validate the functionality as per customer needs.

• Collaborated with cross functional teams for process improvements and product enhancements. Academic Projects

Airbnb analysis using R

• Analyzed the New York Airbnb data on price listing dataset that contains 10 attributes and 20000+ records.

• Interpreted data using exploratory data analysis, regression, bagging, lasso model to find out the factors affecting the price variable and concluded linear regression to be the best fit for the model. DVD Rental Database

• Analyzed a dataset to understand patterns in movie watching across different customer groups.

• Compared customer earnings, store performances through PostgreSQL and assessed that the variable customer earnings had a significant effect on movie watching across groups. Explore US Bikeshare Data

• Analyzed the bikeshare dataset to identify patterns and correlation between the attributes.

• Designed and implemented models using Python to create descriptive statistics. Data Analysis of Hourly Wages and Working Hours

• Conducted data analysis on the dataset to interpret the best fit regression model using Minitab.

• Evaluated the results based on the r-squared value and concluded that the dataset has missing attributes to be considered.

Usability and user experience

• Evaluated usability goals in a mobile application and conducted usability evaluation based on usability metrics and suggested enhancements based on the results.

• Designed a prototype by enhancing the features based on the usability principles increasing the app use by 80%.

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