Data Analyst Assistant

RUDDY SIMONPOUR

San Diego, CA, ***** 858-***-**** adi69e@r.postjobfree.com www.linkedin.com/in/ruddysimon http://www.github.com/ruddysimon

Accomplished Data Analyst

§ Results-driven and motivated Data Analyst with experience in data mining, analysis, forecasting, and strong analytical and innovative thinking. Actively seeking to transition to a career with a world-class organization seeking creative problem solvers who thrive in deadline-driven environments.

§ Offers knowledge of analytics, reporting, and data visualization with experience in the analysis of large data sets of information. Extensive scope of experience includes the extraction and analysis of economic and financial information to build forecasts that guide strategic decisions by a major electrical manufacturing. CORE PROFICIENCIES

§ Good Analytical skills with the ability to collect, explore, organize, and analyze large data set with attention to detail.

§ Performed analysis and presented results with SQL, Excel, and Tableau.

§ Good knowledge and experience to use SQL queries to analyze data.

§ Working with other specialist to identify areas for improving work quality.

§ Create Visualization and Presentation of data using charts, Pivot tables, Power Bi. TECHNICAL PROFICIENCIES

Languages: Python (Including Pandas, NumPy, SciPy, PyMongo and Flask), JavaScript Visualization: Matplotlib, Dashboard, D3.js, Plotly.js, AnyChart.js, Leaflet.js, Tableau Databases: SQL, NoSQL, MySQL, and MongoDB

Interfaces: APIs, JSON, and Beautiful Soup

Spreadsheets: Excel, and VBA

Others: GitHub, GitLab, Statistics, Heroku, Data Wrangling, Web Scraping, ETL, Data Modelling, and Machine Learning, component with Microsoft OfficeTM tools (Word TM, PowerPointTM, and Excel TM) Diabetes Prediction

PROJECTS

Project Link: https://github.com/ruddysimon/Diabetes-Prediction Predicted diabetes using machine learning techniques to train different models that is used to predict the positive and negative result. Used Python, Machine Learning. Uber Trend Analysis

Project Link: https://github.com/ruddysimon/Uber_RideShare_Trends Conducted an analysis of NYC Uber trip dataset and identified correlations between trends using Python. Used Pandas, APIs, NumPy, Matplotlib, SQL, and Microsoft Excel. Human Activity Recognition with Smartphones

Project Link: https://github.com/ruddysimon/Human-Activity-Recognition Orchestrated a project to analyze a dataset of smartphone sensor (Accelerometer, Gyroscope) data of 30 participants to predict activities using Machine Learning. Used Python, Machine Learning, Tableau, HTML. Analysis Professional Sport Salary Data using ETL

Project Link: https://github.com/ruddysimon/ETL_Project Developed ETL procedures to extract files for analyzing professional sport salaries. Used SQL, Python, NumPy, SQLAlchemy. PROFESSIONAL EXPERIENCE

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TEACHER ASSISTANT University of California Irvine, Irvine, CA August 2020 - Present

§ Teaching Assistant for Data Science & Visualization bootcamp at UCI Extension, covering advanced Excel & VBA, Python, NumPy, Pandas, Matplotlib, MySQL, MongoDB, JavaScript, D3.js, Tableau, Spark, Machine Learning & R. TEACHER ASSISTANT University of California San Diego, San Diego, CA April 2020 - August2020

§ Teaching Assistant for Data Science & Visualization bootcamp at UCSD Extension, covering advanced Excel & VBA, Python, NumPy, Pandas, Matplotlib, MySQL, MongoDB, JavaScript, D3.js, Tableau, Spark, Machine Learning & R. FINANCIAL ANALYST Iran Pajouhesh, Tehran, Iran September 2016 - September 2017

§ Generated $30K in annual savings by identifying four key areas of redundant spending. Identified unprofitable products and service lines for elimination, positively impacting profits.

§ Developed a streamlined workflow for cost analysis of company products using SQL which helped with rapid proposal generation and financial updates despite frequent market fluctuations.

§ Leveraged skills in Power Bi tool (Tableau), SQL, and Microsoft Excel to identify trends within financial data sets, leading to data-driven strategic business decisions that were critical to corporate growth.

§ Utilized SQL to maintain and distribute monthly and weekly salary report.

§ Served as the primary point of contact for inquiries originating from account clerks and department heads, as well as internal and external stakeholders.

JUNIOR OPERATIONS ANALYST Iran Pajouhesh, Tehran, Iran September 2014 - August 2016

§ Researched market data and business trends in order to build forecasts of new product opportunities.

§ Applied skill in a variety of data exploring, and preparation in order to optimize operating processes; interpreted data, delivering findings in reports to senior leadership.

§ Served on a three-person team challenged with examining operations data and conducting statistical modeling to gauge the impact of process changes.

§ Extracted and analyzed different data using Excel, and SQL from multiple sources to identify correlations between various attributes of spare parts and assess the business impact of trends.

§ Designed and implemented tools which allowed for frequent and rapid cost analysis of company products, using our large database of current vendors as well as external resources. As a result, company was able to speed up production, prevent delays due to vendor sourcing issues and optimize profitability. EDUCATION

Bachelor of Science Degree in Economic Sciences Tehran, Iran September 2010 – July 2014 University of Tehran

The Data Science and Visualization Bootcamp (Computer Science) California, San Diego July 2019 – January 2020 University of California San Diego

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