Data analyst Resume

SUMMARY:

Data Analyst with newly acquired skills, an insatiable intellectual curiosity, and the ability to mine hidden gems located within large sets of structured, semi - structured and raw data.
An insatiable learner who loves acquiring new skills and tackling new challenges.
Strong emphasis on working collaboratively with a team to ensure optimal results.
Equipped with a significant level of communication and interpersonal abilities in addition to a strong background in effectively fostering positive relationships with others.
Proficient in: Microsoft Word, Excel, Access, and Power Point, Python, Tableau, Python Libraries (Panda, NumPy, Matplotlib, Plotly, SQLalchemy), HTML, CSS, Mongo DB, Microsoft SQL Server, MySQL.

KEY COMPETENCIES:

Data Analysis Climate Data Analysis Process Improvement Electric cars Web scrapping analysis
Problem Solving/Critical Thinking Strategy Implementation Attention to Detail
GitHub Repositories Database Management Oral/Written Communication

EXPERIENCE:

Confidential

Data analyst

Responsibilities:

I was responsible for modifying and analyzing the data of four thousand past Confidential projects as we attempted to uncover some of the market trends using Excel.
Used conditional formatting to fill each cell in the state column with a different color, depending on whether the associated campaign was "successful," "failed," "cancelled," or is currently "live".
Created a new sheet with a pivot table that will analyze our initial worksheet to count how many campaigns were "successful," "failed," "cancelled," or are currently "live" per category.
The dates stored in within the columns were using timestamps. Used formula to convert these timestamps into a normal date.
Created pivot charts line graphs that visualizes tables.

Tools: Microsoft Excel, Windows

Confidential

Data Analyst

Responsibilities:

I was responsible to see whether there is any co-relation between Air Quality Index and Income across all states in U.S.
Completed Air Quality Index and Income Analysis of each state which required obtaining data, analyzing data using Python and pandas, and cleaning up data into usable information.
Developed reports which provided states, state income value, and each pollutant (O3, PM2.5, SO2, NO2, CO) values.
Used Python library (Plotly) to represent data into a pictorial form for better understanding.
Identified data trends and generated written descriptions.
Worked closely with project teams (4), and uploaded files onto GitHub.

Technologies and Tools: Microsoft Excel, Python, Jupyter Notebook, Plotly, Tableau, Windows

Confidential

Data Analyst

Responsibilities:

Confidential is a website that helps user look into electric cars across the automobile market It showcases the benefits and the recent uptick in sales of electric cars. It provides user an overview of the market all in one place.
I was responsible for coming up with the algorithm to scrape the internet using Beautiful Soup library and storing data in the Mongo Database. Moreover, I was responsible for protocol communication using Flask.
Contributed for creating a web page on website.
Created dashboards using sales and prices data for better understanding.

Technologies and Tools: Microsoft Excel, Python, Jupyter Notebook, Tableau, Mongo Database, Microsoft SQL Server, Windows.