Expert Data Analytics Consultants

With over 17 years of experience in analytics and marketing, I live by the belief that "Data Inspires Strategy." I’ve built my career on transforming complex data into strategic direction - designing analytics frameworks, operational processes, and measurement systems that power business growth. As Vice President of Analytics at January Digital, I lead a multidisciplinary team of data engineers, scientists, and analysts dedicated to unlocking value from data. Our work spans media mix modeling, attribution, predictive modeling, and experimentation - all underpinned by emerging AI capabilities. Today, I’m focused on integrating AI agents and generative intelligence into analytics workflows to enhance insight generation, automate reporting, and elevate decision-making speed and quality. Beyond my role at January Digital, I’m passionate about developing future analytics leaders. I teach as an adjunct instructor at SMU and serve on both the Women in Leadership Advisory Council and the AMA DFW Executive Board as EVP of Analytics. My goal - in every setting - is to bridge data, technology, and strategy to shape smarter, more resilient organizations.

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

Data Analyst at Neonwala with a focus on transforming business and marketing data into actionable insights. Works closely with sales and branding teams to analyze performance trends, customer behavior, and campaign effectiveness. Brings a strong foundation in data analysis, visualization, and storytelling to support data-driven decisions that improve visibility, engagement, and revenue growth for small and growing businesses.

Data Analyst | Turning Data into Actionable Insights Expert in data visualization, reporting, and uncovering trends that drive smarter business decisions.

I am a family man that enjoys spending time with my wife and son. I am a hardworking individual that believes in doing the job right the first time. In the current company I am in, Veteran Ratings, we help veterans get the VA disability benefits they deserve. We do this by getting veterans with service connected disabilities set up with rating consultants and our private doctor network, to create a fully developed claim for the veteran. We have a 97% success rate with getting our nation's heroes the rating they should have received in the first place. If you would like more information email me at erict@vteranratings.com or call/text me at 619-349-5374. Before Veteran Ratings, my life developed around electronics, everything from repair and troubleshooting, to refurbishment and instillation, on a wide range of products. I still do repair work on the side, but when I found that I could help people in a more beneficial way, I decided to change my career path.

Masters of Science Data Analytics graduate student at Georgia Tech. Undergraduate degree majoring in Electrical Engineering with minors in Computer Science and Mathematics. Currently hold a secret level security clearance. Skills: R, Google Analytics, Mixpanel, Python, MATLAB, Java, C++, HTML

Give me your data, and I’ll clean it, transform it, extract insights, and tell you meaningful stories that drive impact—plus, I’ll even give you predictions! As an MS in Business Analytics student and an Analytics professional with 4 years of experience, I’ve handled every aspect of the data project lifecycle. From requirements gathering to performing ETL/ELT processes to building machine learning models and delivering actionable insights, I turn complex data into powerful business outcomes. I’ve built large-scale data platforms and pipelines for both Fortune 100 companies and fast-growing startups, specializing in cloud data platform tools like Databricks, dbt and, Snowflake. With expertise in SQL, Python, R, and, data visualization tools like Tableau and Streamlit, I’m ready to tackle any challenge, whether it’s data analytics platform development, data migration, predictive modeling, or optimizing workflows. Here's a quick glance on my skillset - Programming Languages: SQL, R, Python ETL/ELT Tools & BI: Databricks, Snowflake, Informatica IICS, IBM DataStage, dbt, Pyspark, Kafka, Airflow Data Visualization: Tableau, Power BI, Looker Machine Learning - Regression, KNN, Naive Bayes, Decision Tree, Random Forest, Neural Network Data Modeling: MS Visio Version Control: GitLab, GitHub Industries: Life Sciences & Healthcare, Financial Services, Technology, Media & Telecommunication, Manufacturing When I am not working with data, you’ll find me learning something, on hiking trails, at a swimming pool, contributing to a social cause else attempting to perfect a dance move. If you need someone who can turn your data into valuable insights, connect with me or reach out at workwithutkarsh22@gmail.com

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.

Vinothkumar Kolluru is a Senior Data Scientist at Fractal Analytics with 9+ years of experience in NLP, Machine Learning, and Deep Learning. He builds AI-driven solutions that improve customer experience and decision-making, with a focus on customer segmentation, friction detection, and digital journey optimization for large-scale web platforms. He has delivered end-to-end models across tech, healthcare, and marketing—ranging from NLP-based document summarization and topic categorization to predictive analytics—using transformer architectures (e.g., BERT), sequence models, and classical ML. Vinoth has also led analytics initiatives such as call categorization for healthcare contact centers and relevance modeling to improve campaign targeting and performance. A passionate researcher and contributor to the AI community, Vinoth has 50+ publications and 246 citations (h-index 9). He is recognized with the Dr. Abdul Kalam Young Achiever National Award and holds an MS in Data Science from Stevens Institute of Technology, along with a Gold Medal in Engineering from Anna University. His core toolkit includes Python, SQL, AWS, and Azure, and he enjoys translating complex data into practical, measurable business impact.

I'm a fourth year PhD student at University of the Cumberland's, currently working on my Dissertation under Dr. Oni Oludotun & Dr. Izzat Alsmadi Professor.

Data Scientist with 6+ years of experience implementing ML algorithms to drive business decisions. Expertise in production code, algorithm development, and cross-functional collaboration. Proficient in Python, SQL, and cloud platforms. MS in Statistics from UIUC and proven track record of applying advanced analytics to solve complex business challenges.

My name is Matthew Redford and I founded DATA HIT in 2024 with the goal of providing an effective data and optimisation resource to small to medium sized businesses. Our primary service areas are consultancy, tracking implementation, conversation rate optimisation, and insights / reporting. With over 15 years of experience, I have gained a wealth of experience working in technical and marketing teams across a number of reputable agency and client side roles. Away from my main career path I have also founded a number of successful web-based businesses.

Data science manager leading large multinational teams currently driving product growth at Atlassian. Previously at Meta and Intuit. Experience influencing business strategy and making turning data to insights. Sought as a leader that mentors, coaches and grows teams.

Priya Devpura is a Data Analyst and Customer Success Researcher specializing in predictive churn modeling and retention architecture. With a Master’s in Management Sciences and Quantitative Analytics from the University of Wisconsin-Milwaukee, Priya bridges the gap between complex data science and customer-facing business growth. Currently leading churn and retention analytics for over 19,000 accounts at JX Truck Center, Priya's expertise is rooted in her specialized research for GE HealthCare. There, she developed frameworks for establishing dedicated Customer Success Management (CSM) departments to drive digital product adoption. She is an expert in identifying the "early warning signals" in customer data that allow companies to transition from reactive troubleshooting to proactive revenue protection. An entrepreneur at heart, Priya also founded an innovative décor startup in India, bringing a unique owner-mindset to every data project she leads.

Influencer | Featured on Times of India | 4x World Record Holder | 10x Microsoft & Azure Certified Expert | ITIL® 4 Specialist Certified | 44x IBM & Design Thinking Certified | SNOW | NOC/IMS/CIS Specialist | Digital & Social Media Marketer | Brand Promoter & Lead Generator

I’ve been working in data and AI for more than 10 years, leading teams and building systems that help businesses actually get value out of their data. At Innowise, I head the Big Data, AI/ML, and Python departments, which means I set direction for our projects but also stay hands-on with architecture, data workflows, and the tough technical decisions. Instead of just listing tools, I’d say my strength is knowing how to choose and combine them to solve real problems. Whether it’s Spark, Databricks, Snowflake, or cloud platforms like AWS and Azure, I treat them as building blocks, not buzzwords. I’ve worked in eCommerce, fintech, gaming, and manufacturing, and what I enjoy most is seeing messy, scattered data turn into clear insights that actually change how a business works. Outside of work, I’m into sports and racing. I like the mix of speed and strategy. I’m also fascinated by physics and technology, especially where they overlap to shape the future of AI and data.

Janani Annur Thiruvengadam is a Senior Data Engineer at Amazon, where she builds and scales enterprise-grade data platforms powering analytics, machine learning, and decision-making across large-scale distributed systems. She specializes in cloud data warehousing, MLOps integrations, and production data pipelines on AWS. Beyond her engineering role, Janani is an IEEE Senior Member, a published technical author on DZone, and a conference speaker with research accepted at international IEEE conferences. Her work explores the evolving intersection of AI and data engineering — helping organizations design resilient, AI-ready data platforms and guiding engineers to thrive in an AI-native future. She is passionate about mentoring, knowledge-sharing, and empowering women in technology through speaking, writing, and community engagement. LinkedIn- https://www.linkedin.com/in/janani-annur-thiruvengadam-0047b686/ IEEE papers - https://arxiv.org/abs/2512.23597 Dzone articles - https://dzone.com/users/5421773/jananipc.html

As Head of Data & Analytics, I lead the Data Insights team in designing end-to-end performance solutions that provide clear insight into Paid Media and SEO performance. I began my career in Paid Media and quickly moved into data, CRM consultancy and attribution - a background that shapes my consultative approach and ensures clients are set up to scale in line with their sales and marketing requirements.

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.

Translate research into impactful engineering with language models for FreshChat and Freshdesk. Deployed multilingual and multimodal features to over 100 clients across multiple regions on the FreshWorks Cloud platform handling monthly traffic of millions of chats and tickets.