Data Analyst

As a Data Analyst I reduced the time it took to clean delivery route data from several hours down to minutes. After recognizing the impact a simple software like Microsoft Excel can have on the workflow of a company as large as Amazon I was hooked. I wanted to add more value, so I self taught myself Python. I was eager to apply my newly learned programming skills in combination with my extensive statistics knowledge to real projects.

I enrolled into Springboard’s Data Science program where I applied those skills to real world projects as well as gain valuable insights through one on one mentorship. Throughout their comprehensive curriculum I have demonstrated my skills by completing various mini-projects and two capstone projects. These projects covered the entire life cycle of a data science project utilizing Python’s core data science libraries that ultimately resulted in a data-driven solution. More details about these projects are available in the featured section of my LinkedIn profile.

Alongside my data science projects, I have been mentoring over 1,000 college students to exceed their academic goals in quantitative subjects. This has given me the opportunity to truly understand the fundamental principles underlying data analytics. I would love to chat further, please feel free to reach me on [email protected].

Core Competencies: Data Analytics, Data Analysis, R, Tableau, Machine Learning, Statistical Analysis, Data Visualization, Predictive Modeling, SQL, Data Wrangling, API, Data Mining, Python (PANDAS, SciKit-Learn, NumPy, Seaborn, Matplotlib, Tensorflow, Plotly, Statsmodels, PySpark, Webscraping).

Experience: 2 years

Yearly salary: $50,000

Hourly rate: $30

Nationality: 🇦🇲 Armenia

Residency: 🇺🇸 United States


Period Title Company
2015 - 2017 Tutor UC Davis
2017 - 2018 Logistics Analyst Amazon
2019 - 2022 Data Science Fellow Springboard
2013 - Statistics Tutor Freelance