Wells Fargo

Data Science Consultant, GenAI and LLMs

Flute and Feather

Interactive GenAI, ed-tech platform for young children to learn and have fun:

flutenfeather.com

Co-Founder & CTO

Data Dam

• Offer custom analytics, informatics and data science services with a core focus on Customer Experience AI. Present and past clients include:

- Diversigen
- Loop Genomics
- Black Onyx Management
- Oplytix
- Infinity Systems
- FEI

• Previously, led product and business development efforts of an AI-powered, question-answering platform using large language models (LLMs).
Identified and developed several use cases in biotech, pharmaceutical, finance and CPG industries.

Co-Founder

1865 Analytics

Sabanto

Brief stint exploring some projects related to analyzing bag files, image segmentation, and tractor route planning calculations.

Lead Data Scientist

Microsoft

Worked on NLP and CV projects to support Flip(grid): an ed-tech product empowering millions of learners across the globe.

Senior Applied Scientist Manager

Ionis Pharmaceuticals, Inc.

Analyzed gene variant and clinical data from Genomics England Database to inform rare disease strategy.

Bioinformatician

Near Wellness LLC

Started and sold a dropshipping e-commerce business. Learned everything about digital marketing, Shopify, and online sales—only to realize that making money in e-commerce is way harder than it looks. Didn’t make much, but walked away with a crash course in running a business.

Founder

Eaton

Built data science models and analytics tools to help optimize commercial operations.

Data Scientist, Business Analytics

Genentech

Worked in the RnD department to support bioinformatics and computational biology projects related to biomarker development.
Worked in Marketing Science department to support commercial analytics operations.

Bioinformatics/Data Science Roles

AI, engineering, data science, and cloud infrastructure experience in biotech, manufacturing, software and banking industry. Always up for a new adventure. Hit me up at: 

ali[dot]faruqi[at]datadam[dot]io

Ali A. Faruqi

Yum! Brands

I integrate data science into Yum! Brand's restaurant operations practices by developing Machine Learning and Generative AI solutions that drive decision making at scale such as:

•	 Leading the development of the company's first LLM employee assistant, authoring processes for Retrieval Augmented Generation, ethics, and model evaluation
•	 Building labor forecasting and employee productivity models that automate labor scheduling and optimize staffing levels according to profitability gains, demonstrating the benefits to investing in Yum's most important asset - its people
•	 Using survey data to derive causal inference and proportional odds models that measure the impact of emerging restaurant technologies on order speed and accuracy
•       Constructing network graphs to predict and minimize stock transfers and map inter-store trading relationships
•	Deploying dashboards to over 7K restaurants that bridge the gap between machine learning and restaurant operations by quantifying model performance and providing context to machine learning model inputs
•	 Coaching junior data scientists in statistical modeling, data mining, data visualization, and programming - one of the most rewarding parts of my job!

Data Scientist

University of Louisville

• Provided asynchronous course instruction for Online MBA 631: Introduction to Statistics and Data Analytics and ANLY 610: Databases
• Hosted live interactive office hours, monitor student engagement, and grade performance of over 135 students

Part-Time Lecturer

LinkedIn

Authored curriculum and provided instruction for Top Five Things to Know in Advanced SQL. 

This hands-on course is designed for intermediate or advanced SQL practitioners who want to practice advanced topics like subqueries, CTEs, and various windows functions using real-world business examples.

Course: https://www.linkedin.com/learning-login/share?forceAccount=false&redirect=https%3A%2F%2Fwww.linkedin.com%2Flearning%2Ftop-five-things-to-know-in-advanced-sql%3Ftrk%3Dshare_ent_url%26shareId%3DRQy2QN86Q5uoLE6kfIL2Dg%253D%253D

LinkedIn Learning Instructor

LG&E and KU Energy LLC

At LG&E and KU Energy, I was fortunate to tackle data science and analytics initiatives across 3 domains - People Analytics, Cybersecurity, and Customer Insights. My proudest accomplishments were:

• Utilizing Natural Language Processing and unsupervised machine learning to extract text topic clusters and sentiment analysis from customer social media interactions
• Extracting, modeling, and interpreting data from HRIS system to produce insights for people-related processes such as diverse employee recruitment/retention and compensation analysis
• Conducting attrition analysis exposing patterns of voluntary and involuntary turnover from quantitative and qualitative exit interview data
• Building a logistic regression model that revealed consumer preferences for payment plans
• Designing PowerBI dashboards that measured the organization's cybersecurity posture and regularly presented findings to Senior Managers, Directors, and business partners
• Developing and administering instructor-led and computer-based training to both technical and non-technical audiences
• Leading market research and benchmarking analysis to champion the adoption of the company's first parental leave policy

Data Analyst

Data Scientist for some of the world’s favorite brands!

As a Data Scientist, I use statistical modeling to provide scientific solutions to business problems. I am experienced in applying data science to the fields of People Analytics, Demand Forecasting, Cybersecurity, Operations, and Social Media in the utility and quick service restaurant industries.

Beyond work, I frequently speak on panels related to Data Science, Women in Technology, Natural Language Processing, and Career Development for the purposes of knowledge-sharing, networking, and championing increased diversity in the field. I also share my knowledge and expertise through teaching online courses in statistics and SQL.

Areas of interest include People Data Science, Generative AI, Machine Learning and Natural Language Processing

GitHub: https://github.com/kendall-bug

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Ali A. Faruqi

Kendall Ruber

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