Arya Eshraghi
A data scientist, machine learning engineer, solution architect, and technical salesman all at once. I have a diverse educational and professional background with a strong grounding in data analytics, critical thinking, and public speech. GCP Professional Data Engineer certified.
Data Scientist & ML Engineer
CA, US
[email protected]
Skills
Languages and Technologies
Python, Scala, SQL, C, Docker, NumPy, SciPy, Pandas, SciKitLearn, Matplotlib. Seaborn, StatsModels, Keras, TensorFlow, Apache Beam, Airflow, Kafka, Beautiful Soup, Flask, GCP & AWS technologies and APIs
Methods
Regression, Classification, Ensemble & Boosting Methods, Data Viz, Statistics (Bayesian and Frequentist), Machine Learning, Artificial Neural Networks, Time-Series Analysis, NLP, Web Scraping, Critical Thinking, Creative Problem Solving
Experience
SpringML - Data Scientist, ML Engineer, Technical Sales, Solution Architect, September 2018 - Present
- Built high impact production models for some of the largest international companies in the silicon manufacturing and beverage production spaces as well as a visual pothole detection model for the city of Memphis, Tennessee
- Architected, developed, deployed, and productionized pipelines to support our models, client cloud migration efforts, and integrations with existing client systems & procedures including building front-end interfaces and APIs in Flask
- Mentored new SpringML employees as well as engineers of clients on best practices and GCP technologies
- Performed technical sales role both on-site and remotely an managed client & partner relationships made through conferences such as Google Next & the Tensorflow Dev Summit
- Spoke at conferences hosted by Google regarding ML pipelines and manned our booth at NEXT
- Wrote and edited blog posts for marketing purposes
General Assembly Data Science Immersive - Student, April 2018 - July 2018
- Modeled day ahead energy pricing using SARIMA as part of a larger effort to create an automated bidding script for MISO energy markets
- Worked in a team on Kaggle's West Nile Virus competition - despite specifically using only basic modeling techniques, outperformed many more complex models in both performance and predictive accuracy by focusing on domain understanding and novel feature analysis & engineering
- Analyzed 15k reddit comments across a variety of communities to determine defining characteristics of viral posts by means of NLP
Qrvey - Technical Evangelist, March 2016 – September 2016
- Participated in ideation and initial design of platform back in 2015
- Collected, cleaned, and analyzed datasets using the platform to showcase Qrvey and InforaphiQ features
- Scraped and curated multiple datasets of contacts for various marketing projects
- Showcased the product strategically at tech conferences such as LAUNCH and TC Disrupt to build a network of VC capital, business partners, and sales prospects
- Wrote and edited blog posts for marketing purposes
- Performed wide-spectrum competitive analysis in order to find our products niche
Votivate It - Founder, June 2015 – 2016
- Ideated and founded VI to give employees in companies a voice that could reach the C-Suite
- Analyzed existing solutions in the space to carve out a niche
- Developed a unique data collection model and reporting system to ensure data integrity and actionability at any point in time, as well as across any timespan
Eikones Photography - Founder, May 2013 – June 2014
- Performed freelance shoots for businesses as well as creating panoramic walkthrough tours integrated with Google Maps for the Google Business Photos Program as an independent photographer
- Performed all marketing, operations, and outreach/sales independently, learning the ropes of managing a small start-up
Capterra - Summer Intern, June 2009 – August 2009
- Cleaned a large spreadsheet of previous sales and contact information for an outreach effort using macros instead of basic data entry methods, saving the team six weeks of mind-numbing manual entry and outreach
- Used Google AdWords and analytics to compile a list of recommended search terms that would maximize exposure and minimize cost per impression
Education
St. John's College
Class of 2015 - B.A. Liberal Arts
Critical thinking & communication, Classics, mathematics, natural sciences, music, philosophy, literature, history, and Attic Greek & French
Ecole 42 USA
Cadet - Sept. 2016 - Jan. 2017
Studied fundamentals of computing and legacy C programming in a unique autodidactic and peer to peer pedagogy
General Assembly
Data Science - Apr. 2018 - July 2018
Learned data science methods and concepts in a rigorous 12 week immersive course
