Jan 2022 – Oct 2022 · 9 mos · Austin, Texas Metropolitan Area

• Acquired by Proofpoint
• Tessian is a Cloud Email Security solution that uses AI to help detect different anomalies like phishing and data loss within a company’s email ecosystem
• Performed primary and secondary market research to create a cohesive argument on why Tessian should pursue building a new product to catch internal account takeovers (iATO). Created several documents for the leadership team which highlighted how iATO was going to help achieve the revenue goals highlighted by our board.
• Led customer interviews to define what threat signals needed to be included in the MVP in order for customers to buy the product. Defined user stories and worked with data science to help guide the development of the algorithms.
• Managed the beta program for the iATO module and created a strong feedback loop that improved the algorithm at a faster pace. Created the proper SLAs to ensure that the new product’s false positive rate/latency/etc. were within acceptable limits for launch.

Oct 2020 – Jan 2022 · 1 yr 3 mos · Austin, Texas Metropolitan Area

• Responsible for leading external integrations with partners in the cybersecurity ecosystem like SIEM/SOARs as well as EDRs
• Led customer interviews to establish the need for deeper operational metrics. Built out requirements for revamping our product to collect these metrics as well as provide it in a report which customers could run on demand. Oversaw the full development from ideation to launch as well as post-launch adoption/marketing
• Maintained AI detection portfolio. Created requirements for new detections and worked with Data Scientists to ensure the model's output was in line with what customers were expecting.
• Communicated with customers in the pre-sales/POV process about the product roadmap and what value the Vectra Platform provides.

Aug 2018 – Feb 2019 · 6 mos · Greater Chicago Area

• Designed custom communication method between an on-premise datacenter and an external SaaS program using OATH and SAML to implement SSO after observing the frustration users were having to create user accounts. Completed product saved users 24 hours during onboarding and improved user retention by 50%.
• Drove 5-person development team to build additional features into the existing product. Created user stories, managed a Kanban Board, and led backlog grooming at the end of sprints. Worked with the team to create an internal feature prioritization framework to find the low hanging fruit to be as efficient as possible.
• Collaborated with senior leadership to create product roadmap as well as monthly revenue forecasts to assess how impactful our new features were to the topline revenue of the business.
• Developed business use cases for implementation of AWS for clients including AWS Lamda and AWS Cloudtrail
• Created engagement assessments for potentials clients and helped land new clients for the firm

Jun 2017 – Aug 2017 · 2 mos · Greater Chicago Area

• Worked with one of the largest pharmaceutical companies in the United States to integrate two different IAM solutions after an acquisition of a smaller pharmaceutical firm. Interacted with client's senior leadership team to ensure proper provisioning of user accounts and helped spearhead the automation of provisioning tasks.

Apr 2017 – Dec 2020 · 3 yrs 8 mos · Urbana-Champaign, Illinois Area

• Identified a $2.1B gap within the healthcare market that led to over 108M Americans not seeing a dentist for their oral health needs and created a solution that used AI and computer vision to help decrease this disparity. Raised venture capital money and scaled a team from 3 to 12 to help accomplish this goal.
• Conducted customer interviews with clinicians globally to discover our platform’s value proposition and wrote corresponding copy to improve our positioning with customers. This increased our sales conversion rate by a factor of 2 and increased the organic searches for our product.
• Led a multi-person team to create an AWS/Firebase/Flutter enabled mobile app, over the course of 4 product sprints. Managed the creation of user stories and collected metrics after each sprint to measure the success of each feature set and communicated these to relevant stakeholders to help change the product roadmap.
• Translated insights from published AI algorithms using Pytorch and Transfer learning to detect the presence of periodontal diseases earlier which increased accuracy from 73% to 86% while decreasing the false positive rate
• Conducted competitor analysis and market analysis to ensure that our platform was staying competitive and innovating at a fast rate which led to winning first place at the biggest AI in medicine conference in America
• Accepted into HAX accelerator, most competitive hardware accelerator (under 2% acceptance), where we applied the IDEO product design method to discover user needs and iterate them into our product.

Mar 2017 – Jun 2017 · 3 mos · Urbana-Champaign, Illinois Area

• Performed due diligence on potential markets where NP-Live could be expanded into.
• Provided recommendations to CEO about go-to-market strategy for the Financial Services Market and developed research into buying patterns of potential customers.
• Identified how future compliance legislation would impact the buying patterns of current and future customers.

Feb 2017 – May 2018 · 1 yr 3 mos · Urbana-Champaign, Illinois Area

• Managed due diligence on potential portfolio companies and provided recommendations to Senior Leadership on how to allocate the 20M dollar venture fund which led to 4 investments.
• Supported portfolio companies with strategic recommendations and aided in business development saving the portfolio a combined 1-2M dollars.
• Created and maintained a continuous pipeline of startups in the Midwest that were seeking venture capital funding
• Created financial forecasts to communicate with LPs about the performance of the fund as well as entice new investors to invest in the new fund

Jun 2016 – May 2018 · 1 yr 11 mos

• Responsible for the sourcing of new projects for EntreCORPS.
• Implemented a merger with two entrepreneurship ecosystems at University of Illinois and University of Chicago. Also Acquired new startups in Chicago to be clients of EntreCORPS.
• Scoped out projects with clients to ensure both consultants and clients were satisfied. Developed timeline for clients for their expectations with deliverables.
• Oversaw the development of EntreCORPS by aiding in implementing new consultant training and new marketing plans.

Jan 2016 – May 2016 · 4 mos

• Managed two client facing projects during second semester of work:
• Aided team of consultants to restructure the internal management of a local non-for-profit and presented tools to help manage employees in different locations. Also researched different models of expansion for client.
• Lead a team of consultants to develop an international expansion plan for a cryogenics company. Provided client with different verticals within the South American economy the company could expand to. Also provided client with competitor analysis within the South American economy to help them gauge with country to focus to pursuing.

Aug 2015 – Dec 2015 · 4 mos

• Lead team of consultants to consult Apervita on developing an analysis of the healthcare analytics industry which considered potential customer segments and insights into buying patterns.
• Performed an assessment of future revenue opportunities given an understanding of the total potential market, Apervita’s addressable market, and the expected market share to be achieved.
• Identified the larger and faster growing customer segments, identified any significant competitive threats or acquisition opportunities, and laid the framework for lead generation activities.

Jun 2016 – Aug 2016 · 2 mos · Chicago

• Worked on developing application to be used within a Margin Call analysis bank software.
• Developed application that used an internal Restful API to get relevant information dealing with liquidated assets sent to BAML to increase account worth. (C#)
• Helped analyze and apply certain haircuts that were needed for certain margin call contracts.
• Analyzed and restructured Oracle database architecture to increase efficiency of certain database scripts.
• Implemented a cron job and autosys job to have application run in the background and not effected overall performance.

Jan 2016 – Jan 2017 · 1 yr · Urbana-Champaign, Illinois Area

• Aided local non-for-profit in developing expansion plan by analyzing different channel of donations the organization could utilize.
• Analyzed different web hosting platforms, taking into account scalability and ease of access, and developed new website which increased accessibility of online donations.
• Designed marketing materials which improved the presence the non-for-profit had within the local community.
• Constructed a transition plan for when current leadership leaves so new leadership is clear on the daily tasks within the organization.

Aug 2015 – Dec 2015 · 4 mos · University of Illinois Urbana Champaign

• Competitive Feeder program (www.primeillinois.com) that prepares students for IB related roles
• Performed an M&N case study guided by Investment Bankers acting as the buy side for the Coors and Boston Brewing Co.
• Negotiated merger with Boston Brewing Co. team using data calculated doing due diligence, 10K, market, and EBITDA analysis to accurately assess the worth of Boston Brewing Co.

May 2015 – Aug 2015 · 3 mos

• Consulted State Farm in developing marketing strategy to increase millennial retention rate by pilot testing new digital marketing IT tool, reduced churn rate from 82% to 62%
• Managed team in developing Twitter sentiment analysis (patent pending) which improved State Farm’s Twitter campaign by providing more accurate damage control from 27% accuracy to 76% accuracy.
• Initiated the development of a DEACON (patent pending) with business model to pitch to internal business partners to open up new revenue streams by selling new product.

Jan 2015 – May 2015 · 4 mos

• Utilized machine learning and computer vision to detect unsafe driving by using C++ OpenCV libraries to identify eyes and facial features with proprietary algorithm
• Organized team in modifying algorithm in Python to give more accurate baseline reading
• Implemented filters into cluster based learning algorithm to reduce detection errors of driving behaviors, increased accuracy from 45% to 55%