Featured Big Data Experts

Albert Richer is the Founder & Editor of WhatAreTheBest.com, a large-scale research platform analyzing more than 20,000 structured categories across software, consumer products, and niche industry verticals. He specializes in product evaluation, comparative market analysis, long-tail category research, and data-driven ranking methodologies that help businesses and consumers make confident purchasing decisions. At WhatAreTheBest.com, Albert oversees the full architecture behind the platform—from data collection and review standards to automated scoring frameworks and industry taxonomy design. His work blends large-scale content engineering with real-world buyer insights to identify the best products and tools across thousands of industries.

I turn complex data into clear decisions — building platforms that don't just work, but transform how organizations think

A data-analytics entrepreneur, thought-leader and the Founder & CEO of Perceptive Analytics - a company that helps businesses turn raw data into actionable insights, smart marketing decisions, and clear visual analytics. With an MBA from ISB and advanced training from Stanford’s Graduate School of Business, he brings together strong academic grounding and real-world business experience. Prior to founding his own venture in 2010, he sharpened his analytical and consulting skills at top firms including Infosys. Over the years, he has helped global clients, including Fortune-500 firms unlock value from their data, driving growth, optimization, and intelligent decision-making. Under his leadership, Perceptive Analytics has been recognized among the “top analytics companies to watch.” Passionate about data, strategy and storytelling with numbers, he firmly believes in empowering businesses to make smart, evidence-based decisions.

I am a statistician and data science leader with a Ph.D. in Statistics from Stony Brook University and extensive scientific contributions in machine learning, predictive modeling, and advanced statistical methods, including publications on accelerated failure time models in XGBoost and network elastic net frameworks. Currently in senior analytics and data science roles within FinTech at Kapitus, I combine rigorous academic research with practical experience developing data-driven solutions to enable better financing for small businesses across financial services.

Data Science Leader driving scalable analytics solutions | I specialize in transforming complex business challenges into actionable data solutions. Currently leading Glassdoor's data science initiatives across Jobs and Notifications verticals, where we develop sophisticated models and analytics frameworks to enhance user experience and drive business growth.Key Focus Areas:Building & scaling high-performing data science teamsStatistical modeling & predictive analyticsProduct analytics & experimentationData pipeline optimizationCross-functional strategy developmentPublished researcher in Data Science and AI | Expertise in turning data insights into business impact | Passionate about mentoring next-gen data scientists

As a Product Manager at Featured, I work with a team of developers and leadership to create and improve a Q&A platform that connects subject matter experts with top publishers. Our goal is to provide exposure for experts and content for publishers, creating a win-win situation for both parties. I have a BSBA in Marketing from the University of Arizona Eller College of Management, where I was involved in various extracurricular and internship activities, such as AdCats Consulting Club, Markitors SEO Agency, and Each Brain Matters Non-Profit Foundation. I have developed skills in customer relationship management, partnership marketing, and product management, which I apply to my current role and projects. I am passionate about creating engaging and informative content that benefits both experts and publishers, and I am always eager to learn from others and explore new opportunities.

Data and analytics executive with 15+ years of experience leading teams and building data-driven solutions across enterprise organizations. Currently Sr Director of Data Transformation by day, and founder of Brighten — an AI-powered employee recognition and onboarding platform built for small and mid-size businesses. MBA, Six Sigma Black Belt, and deep expertise in AI enablement, business intelligence, marketing analytics, and process improvement. Available to comment on HR technology, employee engagement, onboarding best practices, AI in the workplace, SMB operations, data strategy, and analytics leadership.

Erric Ravi is a Senior SEO Manager and the Founder & CEO of Storify News. With over 11 years of experience in the digital ecosystem, Erric specializes in scaling organic growth through advanced AI-powered strategies, including Generative Engine Optimization (GEO) and Answer Engine Optimization (AEO). He holds a B.Tech in Information Technology and is a recognized expert in technical SEO, content architecture, and Google Discover optimization. At Storify News, Erric leads the editorial and platform growth strategy, focusing on aligning high-authority content with the evolving behaviors of AI search engines and discovery platforms. His work is dedicated to building sustainable search-driven audiences and driving the future of search visibility.

My focus areas are Health informatics, Machine Learning, and Design-led engineering. I bring 7+ years of experience in Data Science, Software Engineering and Risk analytics from the United States and India.Currently working as a Data Science Lead with extensive experience in platform integration using advanced data mining and machine learning in Python, SQL, R and data engineering in Snowflake, Apache Spark and Hadoop.Technical Skills:‣ Programming languages- Python, R, Java, C/C++,SAS‣ Advanced Analytics‣ Statistics & Probability‣ Big Data - Apache spark , Hadoop‣ Machine Learning -Specialties: Time Series Modeling, Anomaly Detection,Data Modeling,Data Mining, Feature Engineering and Natural Language Processing‣ Database Management - Teradata SQL, Amazon Redshift, Snowflake‣ Data Visualization - Tableau, Power BI‣ Web Applications - RShiny and Flask‣ Tools - AWS, Google Analytics, Git, BitBucket, MS OfficeI am interested in innovation-driven engineering. I look forward to connecting with you.

Software Data Engineer with over 9 years of experience who is passionate about turning big data into strategic assets. Experience Highlights: PySpark Development Dashboard Reporting AWS ETL Development ETL Data Validation Data Scrubbing REST API Data Ingestion

Brett Farmiloe is the Founder & CEO of Featured. Featured connects subject-matter experts with top publishers to increase their exposure and create quality, ready-to-publish Q & A content. More than 50,000 experts answer questions on Featured to get their insights published in articles on Fast Company, Entrepreneur.com, and 1,000+ more publishers. With 1M+ answers received, Featured is unlocking the full potential of human knowledge, one answer at a time. Previously, Brett founded and ran Markitors, a digital agency for small businesses, for 10 years before a successful acquisition. More stuff... Brett's first company, Pursue the Passion, was a career education startup that took Brett and three friends on two cross country roadtrips to interview people about how they found passion in work. One of the biggest takeaways? That people don't have a meaningful outlet to share the expertise they've accumulated in their lifetime. Other career highlights: - Helped the actor Hugh Jackman launch a charitable coffee company (acquired by Keurig) - Published Author (sold 1,000 copies...lots of them to people in Duluth, MN) - Keynote Speaker (100+ speeches from Alaska to Miami, including a TEDx) - First Mailchimp Expert west of the Mississippi - Founder of Digital Marketing company that is one of the best places to work in Arizona (Best Companies 100, Phoenix Business Journal) - Contributor to Forbes, SHRM, Thunderbird, Huffington Post, Mashable, TIME, NextWeb, Etc - Once was sponsored by a food company with unlimited supply of Hot Pockets. Proceeded to eat Hot Pockets for breakfast, lunch, and dinner for 30 days to bootstrap a startup. Never has ate a Hot Pocket again. Projects In Development... // Revival of the World Pillow Fight Championships

Anusha Kovi is a Business Intelligence Engineer at Amazon, with 6+ years of experience. She builds and scales enterprise-grade data platforms that power analytics, operational intelligence, machine learning, and data-driven decision-making across large, distributed systems. Her specialty is end-to-end data engineering: designing ETL pipelines and analytics-ready data models, orchestrating workflows with Apache Airflow and AWS, building cloud data warehousing solutions, integrating MLOps capabilities, and delivering production data pipelines and dashboards that turn raw data into clear insights and measurable business outcomes. Beyond her engineering role, Anusha is an IEEE-published author, a technical writer on DZone and Hackernoon, and a conference speaker with work accepted at international research conferences and industry events. She focuses on the evolving intersection of AI and data engineering, helping organizations design resilient, AI-ready BI infrastructure and guiding engineers to thrive in an AI-native future, while staying deeply committed to community impact. She has mentored 200+ students, is a frequent judge and evaluator for student and industry innovation programs, and is passionate about making data engineering more accessible, advancing women in technology, and amplifying knowledge-sharing through writing, speaking, and mentorship. Google Scholar: https://scholar.google.com/citations?user=3pwdexMAAAAJ&hl=en Dzone: https://dzone.com/users/5466033/anukovi.html Hackernoon: https://hackernoon.com/u/anushakovi

Apryl Boyle is one of the world's most compelling voices at the intersection of ocean science, surfing, and strategic data. A lifelong surfer, she established herself as a globally recognized ocean authority and scientific storyteller through her pioneering research into marine life, which has been featured across major platforms including National Geographic and Discovery’s Shark Week. She is the author of How to Surf Like a California Girl, and the expert media outlets call on for a data-driven perspective on ocean conservation, coastal ecosystems, and the mental game of surfing. Uniquely, Apryl couples this deep scientific knowledge with an Executive AI Strategy background. As an MIT-certified leader, she specializes in translating complex data—from Media Mix Models to predictive analytics—into clear commercial insights. She is the definitive authority who can bridge the gap between rigorous scientific method and executive business strategy.

I have always been passionate about technology because there is never an end to the cycle of improvement in the human-computer experience. I wrote that in 2004, and now as we move from a connected to an AI-augmented world, I am more excited than ever! My daily work revolves around my passion: Designing data-driven solutions, leading a team of talented professionals, and continuously learning.Here are my interests and passion is in the word of Data sensemaking, Analytics, B2B product development ,ChatGPT, Data Visualization.

As the CMO and Founding Member of AiNews.com, I’m passionate about making AI news accessible and understandable to audiences worldwide. My journey in AI journalism and digital marketing has been driven by a commitment to responsible, transparent reporting and a vision of democratizing AI insights. At AiNews.com, we bring the latest in AI developments to a global readership, blending timely, in-depth reporting with cutting-edge storytelling, including AI avatars that bring complex stories to life. I helped found AiNews.com to fill a gap in aggregating trustworthy AI news in one place, helping leaders in AI and tech stay informed on impactful trends while minimizing their time in searching for news. Our team’s dedication to transparency and ethical reporting has established AiNews.com as a respected source among AI enthusiasts, tech leaders, and business decision-makers. Journalists interested in AI's evolving impact on business, society, and emerging tech will find AiNews.com’s perspective invaluable. I'm excited to connect, collaborate, and share insights that contribute to understanding and shaping AI's future.

I’m the founder of m365.show and datascience.show, two independent platforms and content hubs dedicated to spotlighting innovation, strategy, and community voices in the Microsoft ecosystem. My work focuses on bridging enterprise needs with the fast-moving capabilities of tools like Microsoft Fabric, Power BI Copilot, and the broader Power Platform — areas where data, AI, and low-code solutions are transforming how organizations work, decide, and scale. With over a decade of experience at the intersection of technology and storytelling, I lead and organize livestream events, interviews, and hands-on demos that bring clarity to Microsoft's most complex offerings. These events serve thousands of viewers across industries, helping IT leaders, data professionals, and decision-makers keep pace with change — and make confident moves toward digital transformation. Through m365.show, I provide insights on the evolving Microsoft 365 landscape, from governance and compliance to collaboration and automation. On datascience.show, I dive deeper into analytics, AI, and the data stack — especially how Microsoft Fabric is reshaping enterprise data architecture and how tools like Copilot in Power BI are changing how business users interact with data using natural language. As a speaker, host, and curator, I’m passionate about making advanced technology accessible and relevant — not just for developers and architects, but also for media, analysts, and business audiences trying to understand what these trends mean in practice. If you're a journalist or content creator covering the future of work, AI in the enterprise, low-code/no-code solutions, or digital transformation within the Microsoft ecosystem, I’d be happy to contribute. Whether it's on-the-record commentary, demos, community trends, or expert takes on announcements from Microsoft, I'm always open to a conversation. 📨 Let’s connect — I welcome media inquiries, collaborations, and guest opportunities.

Avi Chawla is the founder of Daily Dose of Data Science, a fast-growing AI-engineering platform and newsletter with over a million readers. Through deep-dive visuals, frameworks, and hands-on guides, he simplifies complex AI engineering concepts, from RAG systems and MCP protocols to multi-agent orchestration for engineers and companies worldwide. He has been contributing to AI since 8 years and has deveploed several B2B and B2C products at Mastercard.

With over 15 years of hands-on experience in affiliate marketing, e-commerce, and digital growth strategy, I’ve helped brands scale profitable online partnerships and build high-performing affiliate ecosystems. As the founder of BestAIFor.com - a fast-growing AI tools directory, benchmark platform, and independent review hub - I now combine my performance marketing background with deep expertise in the AI landscape. I personally evaluate and benchmark hundreds of AI tools every month, tracking real-world metrics like speed, accuracy, pricing shifts, ROI, and usability across productivity, content, marketing, and creative workflows. My work focuses on cutting through the hype to deliver actionable, data-backed insights that help solopreneurs, marketers, and businesses choose the right AI stack for 2026 and beyond. Whether I'm setting up affiliate programs for AI tool makers, optimizing campaign performance with AI-powered automation, or identifying emerging trends through original benchmarks, I’m driven by one goal: turning complex technology into practical growth advantages. I’m passionate about sharing transparent, no-BS analysis and helping the industry move faster with better information. You’ll often find me publishing fresh benchmarks, “State of AI Tools” micro-reports, and strategic guides on BestAIFor.com.

I am an SEO expert with over 2 years of hands-on experience in on-page, off-page, and AI-driven SEO strategies. I have a strong grip on off-page SEO, especially Cloud stacking and Google Cloud stacking backlink creation to improve domain authority and search visibility. My expertise includes AI-based keyword research, technical SEO, site speed optimization, content optimization, and high-quality backlink building. I also have solid experience in blogging, Pinterest blogging, and optimizing tool-based websites for scalable organic growth. I focus on data-driven strategies to deliver sustainable, long-term results across multiple niches.

Data science and AI leader with 12+ years in ad tech, ML, audience intelligence, and marketing analytics.