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Data Analyst Resume

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SUMMARY:

  • Recent Economics Graduate, Aspiring Data Analyst
  • Blends strong statistical knowledge through economics with an unbridled passion for data analysis shown through a self - taught journey into data science.
  • Excellent leadership, organizational, teamwork, communication, and analytical skills with a relentless drive for learning and self-betterment.
  • Multi-disciplinary background in music and finance also allows for a creative, detail-oriented approach to interpreting data and storytelling with data insights.

SKILL:

Python (Numpy, pandas, Matplotlib, Seaborn) | R | Stata| Microsoft Excel | Tableau | SQL | Jupyter Notebook Data Analysis | Data Visualization | Data Cleaning | Statistics

PROFESSIONAL EXPERIENCE:

Confidential

Data Analyst

Technologies Used: Tableau

Responsibilities:

  • Developed an interactive dashboard using data from reported crimes.
  • This dashboard quantifies valuable info such as what crimes were being committed, where crimes were committed, when crimes were committed, and the demographic information of the victims.

Confidential

Data Analyst

Technologies Used: SQL

Responsibilities:

  • Used Microsoft SQL Server to clean data and make it more useful for later analysis.
  • This included identifying and removing duplicates using a CTE, field standardization, and case statements.

Confidential

Data Analyst

Technologies Used: R

Responsibilities:

  • Built a fitted model to predict total wealth using a variety of relevant features.
  • Utilized modeling methods such as linear regression, flexible linear models, lasso, ridge regression, best subset selection, and polynomial regression.

Confidential

Data Analyst

Technologies Used: SQL, Tableau

Responsibilities:

  • Utilized joins, views, and aggregations to extract insights on COVID and prepare data for later visualization in Tableau.
  • Used Tableau to show metrics such as death percentage of population, percent infected by country, an 8-month forecast using a 95% confidence interval, as well as geographic visual impact of the virus based on country.

Confidential

Data Analyst

Technologies Used: Python, Jupyter Notebook

Responsibilities:

  • Performed exploratory data analysis on a dataset used by a solar power plant in India.
  • Measured and ranked performance of various inverters through total DC/AC output.
  • Quantified and graphed correlation between modular temperature and irradiation for both plants.
  • Created a program using BeautifulSoup that scrapes webpage HTML for pricing data of graphics cards on Amazon and saves the data into a CSV once a day.

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