Qasim Ashraf
Data Scientist
***-** ****** *** ******** NY 11367 - 347-***-**** – *****.*******@*****.*** - US Citizen Education
Relevant
Coursework
Experience
City College of New York
BS in Applied Mathematics
Graduation: May 2017
Probability Statistics Linear Algebra
Combinatorics Applied Mathematical Computing Discrete Structures Logic and Set Theory Graph Theory and Optimization Applied Statistics Chief Technology Officer/Cofounder
Lygics 7/15 – 9/17
• Created an AI assistant that utilized natural language processing and deep learning to assist healthcare professionals in their reporting, allowing for more time spent with patients and decreasing time spent on paperwork.
• Led and developed the start-up from conception through to production, to client integration.
• Created one of the few pretrained voice models in the vertical. Needs zero training time while maintaining accuracy.
• Utilized machine learning and natural language processing, to maximize medical billing
Data Science Consultant
Self 1/15 – 6/16
• Developed multiple conversational apps to boost user engagement for clients using natural language processing
• Consulted with government officials to create a predictive algorithm to route 311 calls, saving New York City 12M annually
• Created data pipeline for multiple ecommerce clients causing a dramatic increase in conversion
• Utilized visualizations to preform trend analysis and optimize KPIs
• Used data to manage clients social media campaign getting over 1 million organic impressions in 72 hours
Data Scientist Intern
Matchpad 4/15 – 7/15
• Designed a neighborhood recommendation engine to assist millenials moving to NYC
• Created multiple internal dashboards to analyze data, KPI and predict growth
• Transitioned client from relational to a graph database to create a knowledge graph of millenials in NYC
Project Manager/ Regional Coordinator
YM Inc. 2/13 – 2/15
• Lead multiple six figure projects, planned conferences with 20k+ attendees, and increased traffic by over 150% YoY.
• Taught programming to 40 plus intercity youth.
• Planned an annual hackathon to build interest in technology in innercity youth Technical
Skills
Mastery in:
Python, SQL, Microsoft Excel, Machine learning, Experimental Design, Exploratory Data Analysis, Data Munging, Visualizations, Unix, Tensorflow, SKlearn, openCV Proficient in:
R, Julia, Matlab, Java, C++, noSQL, Neo4j,Javascrpt, D3.js, Tableau, AWS, Hadoop, Digital Ocean