email@example.com https://www.linkedin.com/in/rachel-kakade/ 346-***-**** 5510 S Rice Ave,Houston,TX-77081
SUMMARY: Master’s graduate with extensive knowledge and background in petroleum engineering field with experience in data analysis and data science. Highly adaptable personally and in learning new software with multitasking capabilities, effective communication skills and attention to detail, looking for opportunities to grow in analytics industry. Experience with professional technical work and customer services for 2+ years in a start up environment, developing as an energetic self-starter and believing in getting the work done.
RELEVANT EDUCATION AND COURSEWORK:
Master of Science -Petroleum Engineering, University of Houston, TX December 2018
(STEM degree) GPA: 3.63
Bachelor of Engineering -Petroleum Engineering, Maharashtra Institute of Technology, Pune, India August 2016
Relevant Coursework: Numerous mathematics and statistics courses GPA: 3.89
Research Data Analyst, Drill2Frac, Houston, USA January 2019-Present
Currently working on getting private Drill2Frac software works integrated into AWS.
Utilizing various libraries of python like NumPy, pandas and SciPy to conduct multivariate analysis on horizontal well fracture data to derive predictive behavior of future stages and provide useful insights to client. Developed new service by the company in conjunction with technical expert.
Daily drilling data analytics on 150+ oil/gas wells as individual projects. This includes complete preprocessing of data, clean up of data especially with through duplicate removal, thorough understanding of each parameter through statistical distribution analysis, histograms and parallel charts using Python.
Customer servicing by solving any as run problems with our products, as well as getting timely and correct information from them to complete our modelling and analysis.
Data Visualization using seaborn, matplotlib, orange or tableau for delivering important insights in the most concise and understanding manner to clients.
Improving previously developed process for increasing accuracy of product using XGBoost algorithm in Jupyter.
Worked closely with the software team to develop a user-friendly interface for previously developed machine learning tool inside a privately owned software of the company through extensive communication.
Research Engineering Intern, Drill2Frac, Houston, USA June 2018-January 2019
Performed analytical exploratory research on MSE (Mechanical Specific Energy) and various possible lithology indicating data inputs using machine learning algorithms on Jupyter Notebook for predictive analytics.
Collaborated with team to implement new developed technique on a regular basis on wells to improve accuracy of the product/service by the company.
Application of Data Science to Predict ROP (rate of penetration) August-December 2018
Developed predictive models on Python using decision tree, random forest and extra decision tree algorithms to predict rate of penetration to run a comparison. This can be highly useful for real time automation of drilling operations in oil and gas industry.
SKILLS TO BE NOTED:
Python on Jupyter Notebook
Well versed with SQL and VBA macros
Data Visualization- Jupyter, Tableau and PowerBI
Business Analysis Fundamentals by Udemy- Completed 9 hours of training.
The Complete SQL Bootcamp 2020 by Udemy- Completed 9 hours of training.
Unlock Excel VBA and Excel Macros by Udemy- Completed 22.5 hours of training.
Member: Society of Petroleum Engineers (SPE), European Association of Geoscientists and Engineers 2014-Present
Associate Content Creator for The Way Ahead magazine by SPE June 2017-Present
Served as Officer of Maharashtra Institute of Technology SPE Chapter 2015-2016