Urmil Bhansali

Urmil Bhansali

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Chief of Staff to CEO
Houston, Texas, United States

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Résumé

Jobs verified_user 0% verified
  • HighRadius
    Chief of Staff to CEO
    HighRadius
    Mar 2025 - Current (1 year 4 months)
    In this role I partner with the CEO to help scale his time. I have led various projects such as driving Executive engagement, hiring, verification of internal and outbound documentation, procurement and more.
  • HighRadius
    Services Pre-Sales Consultant
    HighRadius
    Feb 2023 - Mar 2025 (2 years 2 months)
    Impact: - Increased Services Sales Revenue by 1.5x by deploying new services pricing models. - Authored all new SOW and Change Order contracts from scratch. Process: - Developed price quotes and contracts for Partners and Customers. - Negotiated contracts and made negotiation playbook for SOW and Change Orders. - Collaborated with Partners like Deloitte, Genpact, Accenture to create feasible services pricing models.
  • HighRadius
    Associate Implementation Consultant
    HighRadius
    Mar 2022 - Feb 2023 (1 year)
    - Lead system integration testing (SIT) and user acceptance testing (UAT) calls with Fortune 500 clients. - Design documentation of software architecture process. - Database configurations using SQL. - Collaboration with Sales, QA, Product teams.
  • N
    Co-Founder of Jewelry Manufacturing Company
    Naayrá
    Jan 2021 - Mar 2022 (1 year 3 months)
    Overall Impact: - Scaled revenue to $750k using a B2B wholesale strategy. Sales: - Doubled the customer base using a combination of retail store visits and jewelry trade shows. Process: - Implemented new ERP and trained employees. - Setup website. - Improved reporting accuracy of material used by 40% by via MS. Excel process.
  • U
    Sales Intern
    U
    Oct 2020 - Dec 2020 (3 months)
    Problem Identification: - Interviewed various sales leaders to discover large portion of sales calls spent on document follow-up and tracking. Recommended Solution: - Drafted a solution for reducing phone time by 34% per representative via an interactive timeline (like a Domino's delivery tracker) Potential Impact #1: - Annual savings of $400K + increasing avg. caseload by 1.72 cases per representative per week. Potential Impact #2: - Reduction in Leave of Absence (LOA) backlog by over 100,000 students/yr @ 50% automation.
  • Bergen Community College
    Academic Tutor
    Bergen Community College
    Sep 2017 - Dec 2018 (1 year 4 months)
Education verified_user 0% verified
  • Rutgers University
    Bachelor of Engineering, Electrical Engineering
    Rutgers University
    Jan 2018 - Dec 2020 (3 years)
  • Bergen Community College
    Associate of Science - AS, Engineering Science
    Bergen Community College
    Jan 2017 - Dec 2018 (2 years)
  • Symbiosis Institute of Technology
    Bachelor's of Technology, Information Technology
    Symbiosis Institute of Technology
    Jan 2015 - Dec 2017 (3 years)
  • Jai Hind college
    High School Diploma, Science
    Jai Hind college
    Jan 2013 - Dec 2015 (3 years)
Projects (professional or personal) verified_user 0% verified
  • E
    Electrical Engineering Capstone Project
    Jan 2020 - May 2020 (5 months)
    - Led a team that designed a prototype for a self-use men’s hair-trimmer that used image-recognition technology. - Placed among the Top 10 in a competition against 80 other inter-departmental teams of engineers.
  • N
    NSF i-Corps Team Lead
    Oct 2019 - Dec 2019 (3 months)
    - Youngest team-leader accepted in the 2019 cohort of NSF i-Corps Rutgers University. - Conceptualized a system for college and high-school students to select their majors. - Conducted informational interviews with over 20 school counselors, students, parents and professors. - Granted $2500 by the NSF i-Corps program
  • D
    Data Science/ Machine Learning Study
    Jan 2019 - May 2019 (5 months)
    - Analyzed a data set of 68 Million data-points supplied by the Honda Research Center and applied the Estimation Maximization Clustering Algorithm to find anomalies in a multimodal time-series dataset using Python. - Identified anomalous windows of data (U-Turns), in data-set of other maneuvers (driving straight, left-turns etc.) - The algorithm fared better than a Multi-Class LSTM Autoencoder in detection of driving anomalies.
Awards verified_user 0% verified
  • H
    HighRadius High-Flyer Award
    Apr 2025
    Award recognizing 10% of HighRadius employees.
  • Rutgers University
    James and Edna Noe Endowed Scholarship
    Rutgers University
    Oct 2019
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