Edrian Salinas

Austin, TX 512-***-**** ac5iwn@r.postjobfree.com

Data Scientist

I am an experienced leader with excellent analytical abilities and am highly adaptable to the ever-changing landscape that faces today’s businesses. I value efficient productivity and dependability and am highly skilled in hands-on collaboration with all members of the organization to achieve business and financial objectives.

Python, SQL, Tableau

Git/Github

Natural Language Processing (NLP)

Scikit-Learn

Machine/Deep Learning

Big Data Analytics

TensorFlow (Keras)

Supervised/Unsupervised Learning

Jupyter Notebooks/Lab

relevant Experience

GENERAL ASSEMBLY, Austin, TX 2018

GA – Data Science Fellow

12-Week long training program dedicated to give students a deep dive into the world of Data Science.

Focused on the ability to analyze, make sense of, convey data-driven facts from massive data sets, and predict what happens next through predictive modeling and pattern recognition.

Built a portfolio of individual and collaborative in-class projects, including forecasting future sales revenue using linear regression, predicting user engagement with Reddit posts using logistic regression and web-scraping, predicting locations for West Nile Virus in the city of Chicago, performing sentiment analysis with NLP on Rotten Tomatoes reviews, and predicting the 2018 NCAA Men's Basketball Tournament.

GLOBALFOUNDRIES, Malta, NY 2014 - 2017

GF-Senior Section Manager, Contamination Free Manufacturing (CFM)

Lead, mentor, and offer guidance for new and current employees regarding successful business operations. Offer feedback and performance evaluations as needed.

Sustain advanced knowledge of equipment design and equipment capabilities for optimal operational needs leading teams for process optimization and wafer throughput.

Actively led Module Safety Team and 5S activities with operational employees to drive solutions to issues brought up throughout the Fab.

Offer consultant services to coordinate on-the-job training aides and guidelines for specifications. Carefully work to meet ISO Audit Standards for the organization to run successfully.

SPANSION, Inc., Austin, TX 2005 - 2013

SPAN-Section Manager, CFM

Oversaw approximately 14-18 compressed shift employees including process and associate engineers, process and maintenance technicians, wafer fab operators, and contractors.

Evaluated the abilities and skills of current staff, implementing plans for cross-training, organized work assignments, work flow, and delegated responsibilities based on employee strengths. Provided training and employee development as needed to increase the technical and soft skills of the staff.

Consistently met process yield, electrical, defect density, and cycle time goals including daily shift activities and fab outs.

Education

Bachelor of Science, Chemical Engineering, Texas A&M University, College Station, Texas

Data Science Immersive, General Assembly, Austin, Texas, 2018

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