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Sales Associate Part Time

Location:
Santee, CA
Posted:
February 11, 2023

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Resume:

Mirna Philip

619-***-****

Email: *****.********@*****.***

GitHub: Mirna Philip (https://github.com/mirnaphilip) LinkedIn: Mirna Philip (https://www.linkedin.com/in/mirnaphilip/) Santee, California

SUMMARY

Excellent communication, interpersonal, and analytical skills, as well as a highly motivated team player with the ability to work independently

Excellent analytical and problem-solving skills, as well as the ability to work independently besides being a valuable and contributing team player

An exceptional team player and technically strong individual who can collaborate with business users, project managers, and team leads

Strong skills in data analysis and visualization, proficiency in programming languages such as Python,R,SQL, MySQL, and Tableau

Ability to construct SQL views and write SQL queries, as well as good SQL reporting skills, is highly recommended

Having knowledge and experience with various databases such as MySQL and SQL Server

Experience in Tableau Desktop, Power BI for data visualization, Reporting and Analysis; Cross tab, Scatter Plots, Pie Charts and Bar Charts, Page Trails and Density Chart

Experience working on Tableau (Desktop, Server, Reader), creating various Reports and Dashboards using different functionalities

Having good knowledge of various data analyzing techniques like Data Warehousing, Data Cleaning and Data Visualization

Having hand on experience with MS office Suite including Excel, Word and PowerPoint etc SKILLS

Python (NumPy, Pandas, Matplotlib and

Seaborn )

R Language

Exploratory Data Analysis (EDA)

SQL(SQL queries, joins and DML)

Excel (Pivot tables, filtering sorting,

cleaning data)

Tableau ( Dashboard ) & powerBI

Critical Thinking

Communication

Java & JavaScript

Data Warehousing,Data Cleaning and

Data Visualization

Attention to detail and organizational skills

Problem Solver

Microsoft Office (MS Office)

EDUCATION & CLASSES TAKEN

University of San Diego

Master of Science Data

Science

Aug 2022 -Aug 2024

Graduated with +3

GPA

Applied Data Mining &

Statistics

Data Science (Python,

R and MySQL)

San Diego State University

Ba.S. Computer Science

Aug 2020 - Aug 2022

Graduated with +3

GPA

Data Theory

Implement Algorithms

Science database

Techniques

Grossmont College

Associate Degree of CS

Aug 2017 - Aug 2020

Graduated with +3 GPA

Systems Programming (

C/C++)

Calculus one/ two

JavaScript / Java

PROJECTS

Climate Change Project: Collected and processed data from NASA, filled in missing data using mean, analyzed data using visualization and regression analysis to estimate the nation's climate change.

House Sale Predictor Project: Estimated home prices with an accuracy of 93% and a mean squared error of 18871, preprocessed data using principal component analysis, hyperparameter tuning, and gradient boosting regressor.

Statistical Analysis of San Diego County Crime: Supported statisticians in understanding and developing strategies to reduce crime in San Diego County, collected data from SDPD, calculated statistics such as most prevalent crime, least prevalent crime, mean values, minimum values, maximum values, and compared findings with news reports and statistical reports. WORK HISTORY

ELECTRONIC SALES ASSOCIATE

Target Santee, California Sep 2017- Present

Part time job (20 to 30 hrs a week)

Utilized sales trends, inventory management, and customer shopping patterns to inform data-driven pricing and promotions strategies

Developed and implemented machine learning models to optimize sales and improve customer satisfaction

Communicated findings and insights to cross-functional teams to drive business decisions

Demonstrated ability to work well under pressure and meet sales targets. TEACHING ASSISTANT

SUSD San Diego, CA Aug 2021 - Dec 2021

Part time job (less than 20 hours a week)

Assisted in the instruction of data science course, including evaluating python and SQL code

Guided students through assignments and projects, providing feedback to improve their academic progress

Utilized data analysis techniques to evaluate student performance and identify areas for improvement.



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