Gurpreit Juneja

Industries I have worked on:

Finance & Banking

With extensive experience of finance & banking, the focus has been on developing and deploying AI-driven risk products and fraud detection systems that significantly enhance the security and efficiency of financial transactions. The work includes creating predictive algorithms and integrating machine learning models into financial workflows, leading to substantial reductions in fraud rates and optimizing financial analytics. These innovations have not only safeguarded client assets but also driven revenue growth and improved overall financial performance.

Healthcare

With Healthcare industry, the emphasis was on leveraging AI to revolutionize nurse placement processes and healthcare analytics. By implementing advanced machine learning models, the placement time was drastically reduced, improving efficiency by 75%. Additionally, data-driven strategies were utilized to align workforce availability with market demand, resulting in optimized patient care, enhanced operational efficiency, and significant cost savings. This approach has been pivotal in transforming healthcare staffing solutions, ensuring better outcomes for both patients and healthcare providers.

E-commerce

In the e-commerce space, the focus was on enhancing digital product analytics and user engagement through AI-driven SaaS platforms. By deploying machine learning models to analyze customer behavior and optimize sales funnels, the platform achieved higher conversion rates and improved user experience. The AI solutions developed not only provided actionable insights for upsell opportunities but also streamlined digital marketing efforts, driving measurable business growth and elevating the overall efficiency of e-commerce operations.

Education

Contributions in the education sector involved roles at prestigious universities where the focus was on advancing data systems and educational technology. This included the development of predictive analytics models and data-driven educational programs that bridged the gap between academic knowledge and industry needs. By integrating real-time data analysis and AI into educational platforms, these initiatives enhanced student engagement, improved curriculum design, and supported strategic decision-making in academic settings, ultimately preparing students for success in the evolving digital landscape.

Featured Projects:

AI-Driven Predictive Scoring Algorithm and Risk Mitigation Strategy

Developed an AI-driven predictive scoring algorithm and a risk mitigation strategy that significantly increased revenue and reduced fraud, enhancing overall financial security and client retention.

AI-Driven SaaS Analytics Platform to Boost User Engagement

Led the creation of an AI-driven SaaS analytics platform that improved user engagement and optimized digital marketing funnels, resulting in higher conversion rates and business growth.

Machine Learning Models for Optimizing Nurse Placement

Implemented machine learning models that dramatically reduced nurse placement time and increased placement accuracy, leading to enhanced operational efficiency and cost savings.

Predictive Analytics for Mutual Fund Performance

Designed predictive analytics models for mutual funds that provided deep insights into market trends, enabling more accurate forecasting and improved investment strategies.

Case Studies:

Data Strategy & Management

A global financial services firm improved decision-making by integrating fragmented data systems into a cloud-based data lake, enhancing real-time reporting and reducing costs. Similarly, a healthcare organization migrated to a cloud platform for real-time data processing, improving efficiency and saving $1M annually.

Unified data systems, reducing decision time by 30%.

Improved data accessibility and reporting accuracy.

Reduced IT costs by 20%.

Healthcare improved data processing, saving $1M annually.

AI Products & Solutions Development

An e-commerce platform boosted customer retention by developing a machine learning-powered recommendation engine. A financial services company implemented AI models to improve transaction authorization, reducing disputes and saving $5M annually.

Developed recommendation engine, increasing retention by 10%.

Generated $2M in additional revenue.

AI-enhanced transaction decisions reduced disputes by 15%.

Saved $5M annually by optimizing approvals.

Data Analytics & Predictive Modeling

A retail company reduced stockouts and increased sales by implementing a demand forecasting model. A media company used a churn prediction model to identify at-risk customers, reducing churn and increasing subscription revenue.

Demand forecasting reduced stockouts by 30%.

Increased sales by 20% and reduced warehousing costs.

Churn prediction model reduced churn by 8%.

Improved retention, boosting subscription revenue by 12%.

Digital Data Products from Conception to Monetization

A SaaS company developed a subscription-based analytics product, generating $5M in the first year. An online marketplace created a vendor dashboard offering real-time insights, increasing seller engagement and sales.

Developed analytics product generating $5M.

Improved client retention by 20%.

Vendor dashboard boosted sales by 12%.

Reduced product return rates by 10%.

Cross-Functional Team Leadership

A company accelerated AI project delivery by aligning goals across teams using agile processes. In healthcare, cross-functional workshops improved communication between IT and operational teams, reducing project turnaround times.

Implemented agile processes, accelerating project delivery by 25%.

Increased team productivity and reduced delays.

Enhanced communication, reducing project turnaround times by 20%.

Product Management & Go-to-Market Strategy

A startup increased product adoption by 30% with a go-to-market strategy. Similarly, a healthcare technology company improved user adoption and revenue by refining product features and executing a targeted marketing strategy.

Developed go-to-market strategy, increasing adoption by 30%.

Generated $1M in revenue within six months.

Improved product adoption by 25%.

Increased revenue by 15% in the first year.

Interests

AI & Machine Learning Trends

Current interests in generative AI, machine learning innovations, and ethical AI.

Data-Driven Business Solutions

Advanced analytics, data visualization, cloud-based platforms.

Community Involvement

Participation in AI and innovation-focused organizations and community programs.

Professional Experience

Visa

Director Data Science & AI Risk Products

June ’19 – June ‘24

Customized Client Solutions: Leveraged recommendation engines, machine learning platforms like TensorFlow and Scikit-learn, and customer segmentation algorithms to analyze client data and deliver tailored risk product combinations, optimizing solutions for diverse client profiles.

AI and Machine Learning: Led the development of two patent-pending technologies—a predictive scoring algorithm and a risk mitigation rule strategy—integrating AI into existing workflows. These innovations increased revenue by $23 Million, reduced fraud rate by 25% and volume by $10M annually, driving revenue growth, and enhancing client retention and acquisition, ultimately boosting both client satisfaction and company profitability.

Data Governance & Compliance: Established a robust data governance framework, ensuring accuracy and regulatory compliance of FICO models used for fraud scoring at Visa. This governance structure led to substantial cost savings and enhanced data integrity across the organization.

Cross-functional Collaboration: Aligned data and AI strategies with business goals by partnering with product, IT, and compliance teams. Expanded an AI-driven customer segmentation model from Visa DPS to the broader client base, utilizing Python, SQL, and Tableau. This enhanced targeted marketing efficiency by 30% and boosted conversion rates by 20%, fostering a culture of continuous innovation.

ClickBank

Executive Officer & Director Digital Products Business Analytics

May ’17 – June ‘19

Advanced Analytics & AI Implementation: Spearheaded the development and deployment of an AI-driven SaaS analytics platform that increased user engagement and boosted conversion rates by 1%. Leveraged machine learning models to provide actionable insights on upsell opportunities and optimized high-revenue funnels, driving measurable growth across the platform.

Data Strategy & Cloud Platforms: Deployed AWS and Azure cloud platforms with big data technologies like Redshift, S3, Databricks, and Spark, enabling efficient data processing and advanced analytics across the organization.

Financial Projection, Budgeting & Analytics: Conducted A/B testing and advanced statistical analysis to optimize digital marketing activities, developed executive-level dashboards for performance monitoring, and managed financial projections and budgeting to ensure alignment with business goals and maximize ROI.

Fastaff Healthcare Staffing

Group Executive/Director Analytical Products & Solutions

Apr ‘15 – May ‘17

Data Engineering & AI Deployment: Led a team to develop machine learning models that optimized nurse placement, reducing the process from 42 days to 9 days, and delivering actionable insights for improved strategic decision-making.

Data Infrastructure Development & Optimization: Built and maintained data infrastructures that transformed complex datasets into actionable insights, analyzing nurse demand trends and preferences. This system improved placement accuracy by 40%, aligning workforce availability with market needs and individual preferences, resulting in a 30% increase in placement efficiency, a 20% reduction in operational costs, and saving the company $2 million annually in revenue.

Strategic Analytics Leadership: Implemented data strategies that accelerated business growth, improving client acquisition and retention. Optimized nurse placement logistics, cutting placement time by 75% and increasing client satisfaction by 30%.

Janus Henderson Investors

Sr. Business Intelligence Lead

May ‘11 – Apr ‘15

Predictive Analytics & Machine Learning: Designed and implemented predictive analytics models specifically for mutual funds, offering deep insights into market trends and investor behavior. These models enabled precise forecasting of fund performance and customer preferences, directly supporting data-driven strategies for business expansion and improving investment outcomes for clients.

Virtual Data Architecture & Strategy: Enabled real-time access to integrated data from portfolio management systems, customer investment behaviors, and market trends. This allowed portfolio managers to quickly identify underperforming assets, adjust fund allocations, and provide personalized investment recommendations, leading to improved decision-making and increased fund performance

Collaboration & Leadership: Worked closely with senior leadership to align data science initiatives with business goals, driving significant improvements in client engagement and revenue growth.

University of Colorado

Sr. Data Analyst (IT Professional II)

Apr ‘07 – May ‘11

Data Systems & Analytics: Transitioned to an advanced data architecture, enhancing data quality and accessibility. Upgraded Oracle's Student Information System with a PSQuery add-on, improving the search and match process for student financial needs. This led to real-time analysis, streamlined financial aid processing, and a 30% reduction in processing time, boosting accuracy and administrative efficiency.

Educational Program Development: Developed and implemented data-driven educational programs in business intelligence, partnering with industry leaders. For example, students completed a capstone project analyzing real-world data for a local tech company, leading to optimized operations. This initiative improved student engagement, job placement rates, and strengthened industry-academia collaboration.

Kent State University

Assistant Professor

Aug ’04 – Apr ‘07

Educational Leadership & Industry Partnerships: Spearheaded the development of technology-focused programs with industry partners, bridging the gap between academic knowledge and market demands. Launched an innovative online platform for graduate-level short-term credit programs, offering flexible, industry-aligned courses that enhanced student accessibility and engagement.

Strategic Program Management: Led initiatives to align educational outcomes with industry needs, significantly boosting student career readiness. Developed custom hands-on workshops within the learning platform, incorporating diverse skill sets and offering deeper dives into industry-specific challenges, ensuring students gained practical, real-world experience.