Reservoir Engineering Data Analyst

RUSHI PATEL

PROFILE

A Data Analyst Grad who is seeking an opportunity to leverage my diverse set of skills in data mining and analysis into an open data analyst position. My educational background is extremely varies as it combines data analysis, finance and engineering which can make me a valuable asset to your company

HIGHLIGHTS

●Quantitative Methods

●Data Warehousing

●Advanced Data Mining

●Business Intelligence

●Data Structures

●Regression Analysis

●Data Visualization

●Statistical Computing

Expertise and Qualifications

Expertise in SAS, Microsoft Access, SQL, Python and Tableau

Mastery of Microsoft Excel (PivotTables and VLOOKUP)

Proficiency with Google Analytics and AdWord

EDUCATION and Certifications

UNIVERSITY OF HOUSTON CLEAR LAKE, MASTERS IN BUSINESS ADMINISTRATION (FINANCE) 2019-2020

Focus in Corporate Finance

3.5 GPA

Data Science in Python Program – DataQuest (2018-2019)

Proficient in Coding using Python and R

Completed over 130 online projects

Data Sequencing and Analysis knowledge is strong

Pandas and NumPY

UNIVERSITY OF HOUSTON, HOUSTON, TEXAS, BACHELORS OF SCIENCE IN PETROLEUM ENGINEERING, May, 2018

(Emphasis in Drilling Engineering)

Drilling Processes, Reservoir Management and Efficient Energy Extraction

Capstone labs involving reservoir engineering and integration in the field

Engineering Project Management course (3.3 GPA).

WORK EXPERIENCE

Python Development Assignments (December 2018- June 2019)

Put in Python Scripts so that it automatically syncs data between separate servers

Created graphs to be used for decision making purposes via matplotlib library

Implemented python scripts to load data from XML documents into database

Unit and Integration Testing

Tested Compatibility and Functioning of Web based applications using Selenium

Drilling Program layout (01/18- 05/18)

Key Responsibility

Documented an entire step by step drilling program which lays out every single detail needed for the process with information such as schedule, equipment necessary, safety protocols and process of evaluating data.

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