Ehsan Khan Email & Phone Number

New York, NY, US

New York City, NY, US

Building job matching platform to help small business find local hourly skilled workers faster and cheaper.

Evanston, IL, US

Build, sell, and manage software products for healthcare clients.

Evanston, IL, US

Build software products for healthcare clients.

• Lead the product development of a mobile application from ideation to building MVP by managing cross-functional engineering team of 7 software developers and 2 designers working from overseas and forming strong.
• Scope out features, create basic wireframes, build product roadmaps, create user stories in JIRA from user feedback and communicate requirement to developers, conduct user research interviews & in-depth market analysis.
• Communicate, negotiate, and partner with tech vendors in product development phase by considering scope, requirements, and cost

New York City, New York, US

• Collaborate with the Data Science and Business Intelligence teams to analyze and perform ETL operations to feed data to 23 reporting and analytics applications and dashboards used by over 3k employees
• Support the development of dashboards and analytics applications that incorporate key metrics to be reviewed with stakeholders and upper management in the weekly management meeting
• Design, implement and support production data issues related to 23 applications using SQL, AWS, Salesforce, Power BI, IBM Cognos, Einstein Analytics, and JIRAs
• Maintain the ownership of the critical production data related issues for 23 applications and triaged the resolution of critical issues with the relevant technology teams and facilitate meetings to resolve issues.

Mountain View, CA, US

• Analyzed and evaluated meaning of over 7M Google Search and Assistant user queries by conducting experiments on NLU infrastructures, resulting in 95% increase in answers precision
• Led products features launches by setting milestones, facilitating weekly sync with stakeholders to ensure any obstacles to launch were resolved promptly in a timely manner
• Tested next generation Google internal NLP tools and oversaw internal debugging process by raising possible blockers and suggesting improvements
• Developed project process documentation and training sessions to efficiently onboard 10 new employees
• Participated in Kaggle WiDS Datathon as a team of two data scientists and a data analyst to build a patient survival prediction model in python for patient survival by using 130k patient visits to ICU at 200+ hospitals.
• Performed data cleaning, pre-processing, exploratory data analysis, and feature engineering using Pandas

Long Island City, New York, US

• Designed MS SQL database architecture and used some complex constructs like bulk insert, CTE, system variables, temp tables, and link servers to perform ETL operations using SSRS reporting tools.
• Execute complex database tasks - trace data through the code, write complex SQL queries (joins, cursors, views, stored procedures, functions triggers), extract/import data etc.
• Applied extreme gradient boosting algorithm to predict family consent for organ donation with AUC of 0.895, resulting in 9.8% increase in organ consent rate from family
• Used ML algorithms to build kidney discard prediction model and achieved the best result of 0.771 AUC from gradient boosting classifier, which reduced kidney discard rate by 19.4%
• Modeled standardized organ yield ratio using logistic regression, which helped in setting more realistic goals of organ yield for the upcoming year
• Built real time interactive hospital dashboards using Microsoft report builder/Power BI to easily track KPI for hospital service coordinators

Dallas, TX, US

• Developed AutoCAD layout and incorporated field technicians work specifications to replace 17,000 ft. copper with fiber cable, which resulted in 30% increase in telecommunication signal
• Designed fiber cable system for 350 housing lots using BSTCAD and integrated engineering work order data with geospatial mapping technology for better visualization and analysis
• Created engineering layout for optimal positioning of aerial and buried cables by analyzing geographical pipeline data to avoid interference and pipe explosions
• Completed 49 projects with an average quality score of 90% (team average ~ 85%)

Master Of Engineering - Meng, Systems Engineering

Bachelor Of Science (B.S.), Industrial And Systems Engineering

Gce A Level | High Schooling, Subjects: Physics, Chemistry, Math, English, Computing