Data Analyst L A

DALIA SEYAM

Data Analyst

Princeton, New jersey

201-***-****

Egyption

**********@*****.***

Feb 11, 1983

https://www.linkedin.com/in/da

lia-seyam-57b739282/

S K I L L S

L A N G U A G E S

English — Intermediate.

— I got a certificate from

Brooklyn ESL School.

Arabic — Native

As a Data Analyst with a curious

mind and a passion for problem-

solving, I am proficient in

identifying connections between

data sets and finding solutions and

helping in taking the right decisions.

During my studying at

CareerFoundry Institution as a Data

Analyst I built many projects from

scratch beginning with Data

cleaning, filtering, wrangling to Data

Analytics with MS excel, SQL,

Python and implement Data

Visualization with Tableau and

Python to finally present hypotheses,

insights, and recommendation

through presentations to the

stakeholders.

Analyzing datasets, Data

wrangling, Data visualization,

MS Excel, Tableau, SQL,

Python programming, time

management, solving problems

and communications skills

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E X P E R I E N C E

home caretaker Mar 2007 — Present

At home Princeton, new jersey

E D U C ATION

Data Analysis certificate Jan 2023 — Sep 2023

CareerFoundry Institution Berlin, Germany

Bachelor's degree Sep 2000 — Nov 2004

Ain shams University, School of Network engineering Cairo, Egypt P R O J E C T S

1. GAMECO PROJECT: To perform a descriptive analysis of video game data to support new game development by providing better understanding of how they would fare in the market. 2. INFLUENZA PROJECT: Support a medical staffing agency by determining when the flu season is, and the number of medical personnel to send to each state depending on number of vulnerable persons. 3. ROCKBUSTER STEALTH PROJECT: Provide insights to the Marketing department with a data driven solutions to contribute to the 2020 company strategy.

4. INSTACART PROJECT: To perform an initial data and exploratory analysis of some of their data in order to derive insights and suggest strategies for better segmentation based on customer behavior, to inform their marketing strategy.

5. PIG.E BANK PROJECT: To provide analytical support to the bank's anti-money-laundering compliance department. This involves building fraud detecting models.

6. The world university ranking: To provide analytical support to the world university ranking to know what the most variables affect the world rank and the distribution of the world universities rankings all over the countries.

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