About

Arya Eshraghi is a certified professional data engineer with expertise in machine learning and a diverse professional and educational background. With a passion for bridging the gap between data and actionable insights, Arya has honed his skills in Python, Scala, Excel, SQL, Git, NumPy, SciKitLearn, Pandas, StatsModels, BeautifulSoup, Keras, TensorFlow, exploratory data analysis, data wrangling, data visualization, regression models, classification models, clustering algorithms, machine learning, artificial neural networks, time series analysis, principal component analysis, NLP, linear algebra, frequentist & Bayesian statistics, Docker, AWS EC2, SQLOPS, and MS SQL Server. Currently working as a machine learning engineer at SpringML, Arya has previously served as a technical evangelist at Qrvey, where he participated in ideation and initial design of the platform, collected, cleaned, and analyzed datasets to showcase Qrvey and InforaphiQ features, and scraped and curated multiple datasets of contacts for various marketing projects. He also founded Votivate IT, where he 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, and 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. Arya's education history includes a Bachelor of Arts (B.A.) in The Great Books from St. John's College (MD), a Computer Science degree from 42 Silicon Valley, and a Data Science Immersive degree from General Assembly. He also holds an Advanced Studies Diploma and Technical Studies Diploma from Westfield High School. Arya's tech stack includes ML, data engineering, SQL, AWS, Keras, NLP, Docker, research scientist, TensorFlow, Pandas, neural networks, Python, and Scala. With 4.87 years of relevant experience, Arya is a voracious student out to learn it all and make a difference in the world of data science.