Daniel E. Hipshire
Growth Technology Strategist
Curiosity-driven technologist and strategist with a strong background in Computer Science and Business Analytics. Known for visionary thinking, creative problem-solving, and systems- oriented solutions.
About Me
I am a curiosity-driven technologist and strategist with a strong background in Computer Science and Business Analytics. Known for visionary thinking, creative problem-solving, and systems-oriented solutions, I specialize in AI automation, data analytics, and digital marketing.
My approach balances intellectual exploration with practical implementation, leveraging emerging technologies to drive innovation and business growth. I am adept at fostering collaboration, managing complex systems, and adapting to high-pressure environments.
Core Competencies
Technical Skills
Python, R, SQL, ReactJS, VBA, RapidMiner, BeautifulSoup, HTML/CSS, C++
Business Tools
Google Analytics, GoHighLevel, Apollo, Instantly, Helium10, MS Excel, Jupyter Notebook
Specializations
Automation, Web Scraping, Data Analytics, Digital Marketing, Market Research, Product Development, AI Integration
Soft Skills
Visionary Thinking, Resilience, Collaborative Communication, Strategic Problem-Solving, Adaptability
Professional Experience
June 2024 – Present
- Assessed and refined AI-generated prompts for clarity, relevance, and accuracy across diverse industries.
- Delivered insights to enhance large language model outputs, contributing to the development of cutting-edge AI systems.
- Collaborated on improving data quality and training workflows for AI-driven applications.
2023 – 2024
- Spearheaded e-commerce product optimization and digital marketing campaigns, increasing ROI and operational efficiency.
- Crafted targeted email campaigns using Apollo and Instantly, achieving a 25% improvement in open rates and a 15% boost in response rates.
- Conducted market research with Helium10 to align product strategies with customer needs and emerging trends.
2021 – 2023
- Developed AI-driven automation solutions to streamline workflows in sales, marketing, and operations.
- Designed web interfaces and managed analytics platforms to improve user experiences and enhance decision-making.
- Built strategic partnerships and tailored digital solutions, driving a 30% increase in client revenue.
May 2017 – January 2018
- Executed the design, development, testing, debugging, and deployment of an inventory management system, saving $2.5M in off-the-shelf software costs.
- Liaised between management and end-user employees regarding specs, features, and performance requirements.
- Administered training of employees and maintenance of program throughout company-wide implementation.
- Bridged communication between management and end-users to define system requirements.
- Achieved full adoption and seamless integration of the custom inventory management system across the organization.
Notable Projects
- Performed data cleaning on initial dataset of 60,000+ observations and 99 attributes to address missing values, redundancy, and outliers.
- Utilized unsupervised machine learning K-means clustering algorithm to split the dataset into clusters.
- Explored attributes impacting household utility costs, uncovering actionable insights for cost reduction strategies.
- Conducted exploratory factor analysis to uncover latent personality factors and their relationship with drug use.
- Employed oblique (promax) rotation to enhance interpretability of results and preserve correlation between factors.
- Built scalable web scraping tools with BeautifulSoup and RegEx to extract data, navigate parse trees, and handle HTTP errors.
- Developed a classification model to predict NBA rookie career success, achieving significant performance improvements.
- Conducted exploratory data analysis on 8,523 observations to identify sales drivers, impute missing values, and create data visualizations for business decision-making.
- Built a gamified platform for users to learn algorithmic trading, creating a seamless API and mobile experience.
- Developed an Instagram clone with dynamic, client-side rendering and user-friendly interfaces.
Education
Hofstra University, Hempstead, NY | May 2021
University of Michigan, Ann Arbor, MI | December 2018