Featured Big Data Experts

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.

Here's a tightened version optimized for Connectively's journalist-facing format: Andrea Yzeiri is the Chief Data & Analytics Officer and Lead AI Engineer at Picsume, a hiring platform modernizing talent representation through AI-driven matching and bias-free recruitment. With over a decade of experience across technology, healthcare, academia, and defense, she specializes in building ethical, scalable AI systems with a focus on fairness, transparency, and cybersecurity. Named one of the Top 25 Women Chief Data and Analytics Officers in North America by Women We Admire, Andrea is a recognized expert in AI governance, bias mitigation, and algorithmic accountability, making her a trusted voice for journalists covering AI ethics, responsible tech, and the future of work. She holds three degrees: a BComm in Supply Chain & Analytics and a BA in Political Science from the University of Windsor, and a Master of Management in Analytics from McGill University. A trailblazer at Windsor, she was the first woman to complete an undergraduate thesis at the Odette School of Business and the first student to receive the Mitacs Globalink Research Award, conducting research in São Paulo, Brazil. Beyond her executive role, Andrea lectures at McGill University, serves on the MMA Industry Advisory Board, and has spoken at Google Dev Fest Windsor and STEM Fellowship's High School Big Data Challenge. She is a passionate advocate for women in STEM and responsible AI adoption. Andrea is available to comment on: AI ethics & governance, bias in machine learning, cybersecurity for startups, the future of hiring & HR tech, and women in data & STEM.

As a Cloud Data Engineer, I specialize in designing and implementing scalable data pipelines, data warehouses, and data lakes. I have a strong understanding of data modeling techniques and warehousing principles, which I use to build efficient, high-performance solutions. I’m always energized by new challenges that require a mix of technical strategy and creative problem-solving. Whether I’m designing a new reporting data source or finally perfecting a home organization project, I’m driven by the same goal: creating systems that are as efficient as they are reliable.

I'm the founder and Editor-in-Chief of ExpertReviewHQ, where I synthesize the findings of more than 250 professional review outlets — Wirecutter, Consumer Reports, Good Housekeeping, and others — into consensus buying guidance across 100+ product categories. Rather than re-testing products myself, I map where the expert testers agree, where they diverge, and what that disagreement means for an individual buyer. I bring 20 years in enterprise portfolio management (PMP, BRMP) to the site's editorial methodology. I can speak to where the reviews align or conflict in almost any consumer category, what buyers consistently overlook, and how to read product reviews critically.

Abhijit Chanda is a Director, Head of Retail Media Practice at Tredence, and MarTech and AI leader with 15+ years of experience across marketing analytics, customer intelligence, AI, retail media, and marketing technology. His core strength lies in connecting business strategy, customer data, AI, and MarTech to help enterprise marketing teams make better decisions, activate more effectively, and measure business impact more accurately. Abhijit helps organizations convert fragmented data into sharper insights, smarter activation, and measurable business outcomes by building analytics, agentic AI, and AdTech products and platforms that improve campaign planning, media performance, customer experience, and revenue accountability. In his current role, he works as a product and solution lead, partnering with cross-functional teams across data science, BI, data engineering, MarTech, and retail media analytics to drive solution strategy, delivery, and growth for enterprise retail clients. Building and scaling Tredence's AI-powered Retail & Commerce Media analytics practice — serving 8 of the top 10 global retailers, powering $2T+ in Retail Revenue and $10B+ in annual Retail Media Network spend Abhijit’s vision is to help organisations build the next generation of AI-native marketing intelligence and customer decisioning platforms — where data, identity, activation, incrementally, and AI come together to drive measurable business growth.

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

I'm the CEO of Kleene.ai, an AI data platform that turns scattered business data into clean, AI-ready foundations and decision intelligence. I'm an entrepreneur, advisor and chair who has spent my career building and scaling technology and digital businesses, and I studied at the University of Warwick. I think and write a lot about data sovereignty and the risks of building a business on a single LLM, the gap between AI hype and the infrastructure that actually makes AI useful, and what the UK and Europe need to do to compete on AI. I'm happy to talk about AI strategy and adoption, data sovereignty and vendor lock-in, the economics of the LLM market, and how businesses turn data into faster, better decisions.

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

Abhilash Rao Mesala is a Senior Data Engineer at Meta Platforms where he works on large-scale data infrastructure powering critical business intelligence across the organization. He has led data platform and pipeline initiatives across healthcare and enterprise environments, with a focus on scalable architecture and high-stakes production data systems. He writes at the intersection of data engineering and the operational complexity of building systems that organizations depend on to make consequential decisions.

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.