πΌ Work Experience
IBM
π Sept 2023 - Present π San Francisco, CA
My Role
π©π»βπ» Technical liaison to 9 accounts (5 of top 25 tech companies) for Generative AI and AI Governance platforms. Deliver client presentations, demos and POCs, design and execute prospecting campaigns, and develop architectures, and collaborate cross-functionally (Sales, PM, etc.) to identify revenue opportunities, co-create with clients, and accelerate sales cycles.
Technologies Used
βοΈ IBM watsonx.ai (Generative AI, prompt engineering, MLOps), IBM watsonx.governance (AI Governance, GRC Platform), IBM watsonx.orchestrate (AI Assistants and AI Agent development), Salesforce Sales Cloud, LinkedIn Sales Navigator
Key Accomplishments
β Lead technical engagements throughout sales and post-sales cycles to embed Generative AI and AI Governance solutions into Fortune 100 tech companiesβ products and promote product adoption to accelerate enterprise Gen AI implementation.
β Expanded product adoption at Fortune 10 retailer ahead of Enterprise Licensing Agreement, placing AI and Automation footprint in top 3 across all products (30% of total $XM ELA); achieved 105% of SaaS quota.
BallerTV
π Jun 2022 - Aug 2022 π Remote, CA
My Role
π©π»βπ» 1st software engineering and 1st startup experience. Allowed me to learn a lot of new skills by getting my hands dirty and working with a variety of teams. Did backend development on the Engineering team, data analytics and engineering for Product Managers/Leaders, and software engineering and data-centric work with the Automation (Data Science) team.
Technologies Used
βοΈ Ruby (Rails), PostgreSQL, Git, GitHub, Jira
Key Accomplishments
β Coded Ruby on Rails program to clean basketball game data, extract and calculating statistics, and generate custom headlines for 1 million games with Generative AI API for subscribers, driving product engagement.
β Designed dashboards in Redash to visualize travel cost metrics and asset tracking data, empowering product managers and leaders to make informed cost-saving decisions.
β Automated timely communication by programming a workflow that sends text messages to contractors via the Twilio API and Active Record (Rails) when work schedules change.
Bessemer Venture Partners
π Jun 2022 - Present π San Francisco, CA
Key Accomplishments
β Selected as 1 of 20 fellows from 2,000+ applicants and 60+ finalists; portfolio company directly reached out.
β Engaged in entrepreneurship studies with founders and product leaders from the venture capital industry.
TE Connectivity
π Jun 2021 - Jun 2022 π Remote, CA
My Role
π©π»βπ» My 1st ever internship that opened the doors for everything that has come after. Learned the art of storytelling through data, the importance of cross-functional collaboration, and how to communicate technical topics to non-technical audiences. Worked on TE's Advanced Analytics team as part of the hub team/center of excellence for the company's Data Science and Analytics.
Technologies Used
βοΈ Python (Pandas, SciPy, Matplotlib), SQL, AWS (SageMaker, S3)
Key Accomplishments
β Analyzed deep learning forecast model results (Pandas) and identified 1,000+ highly accurate parts making $300M+ in sales to promote adoption of cost-saving forecast model in presentations for C-suite executives.
β Developed Python automated fuzzy matching algorithm that improved accuracy by 50%, was adopted on 2 projects used by 5 departments, and maps predictions to actual sales for marketing campaign tracking.
β Utilized Python/SciPy to code statistical methodology for randomizing potential customers into test and control groups, reducing manual labor and enabling marketers to accurately evaluate their campaigns.
HalΔ±cΔ±oΔlu Data Science Institute
π Oct 2020 - Mar 2023 π San Diego, CA
My Role
π©π»βπ» Tutors were my lifeline when learning how to code, so I wanted to be the same for fellow Triton Data Scientists. I tutored DSC 20 - Programming and Basic Data Structures for Data Science (Python) for 5 terms (Fall 2020-Fall 2021 and Winter 2023) and DSC 30 - Data Structures and Algorithms for Data Science (Java) during Spring Quarter 2022.
Technologies Used
βοΈ Python, Java
Key Accomplishments
β Enhanced 500+ students' Python and Java skills in topics like object-oriented programming, recursion, and data structures by helping them understand assignments and coding logic during 4 weekly office hours.
β Reinforced lecture material through creating weekly quizzes, moderated the question and answer forum to resolve studentsβ issues, and contributed to the creation of programming assignments.