Featured Big Data Experts

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.

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

Data scientist with experience in machine learning, large language models, clustering, search algorithms, and analytics with proven expertise in leveraging the latest AI breakthrough for enterprise use cases

Keach Digital Agency is an award-winning digital marketing company in USA that enables businesses to overcome and address digital marketing complexities and assure revenue growth.

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.

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.

I do data engineering.

The sun ☀️ and wind 💨 are free and infinite resources, yet their inherent intermittency creates volatility that costs the sector billions annually, severely complicates market strategies, and poses a constant risk to the electrical grid that powers our world. At Steadysun, we have made resolving this paradox our core mission. We turn this chaotic uncertainty into a measurable, strategic, and competitive advantage. Our approach is built on a radical rejection of simplicity. While most forecasting solutions rely on a limited number of meteorological models, we view this as fundamentally insufficient—akin to piloting an aircraft while looking through only one window. We have engineered an AI brain 🧠, a proprietary and powerful intelligence designed to operate with a full 360-degree vision. This engine is continuously fed by an unparalleled diversity of data in the market. It aggressively aggregates and analyzes information from over twenty specialized meteorological models, ranging from global experts to hyper-local specialists, leveraging the strengths of each. Crucially, we augment this with real-time data from satellites 🛰️ tracking cloud formation, live readings from ground sensors providing on-the-spot conditions, and years of deep historical datasets that serve as our AI’s memory, allowing it to learn from and eliminate past errors. This massive data fusion is our signature: the multi-model approach. It enables us to detect weak signals that others miss, delivering power generation forecasts of exceptional reliability and predictive accuracy. For our clients, this advantage is profound and tangible. It grants power producers the ability to sell their energy at optimal prices 📈 and plan maintenance without sacrificing peak production. It equips traders with the confidence required to manage risk and capitalize on volatile market opportunities. And for grid operators, it provides the indispensable tool needed to anticipate every ramp event and guarantee security of supply for everyone. We are not just selling data. We are selling confidence—the confidence necessary to invest massively in and operate a sustainable, reliable, and profitable energy future. 🚀

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.

As the founder and CEO of EDATApp, I lead the development of an innovative mobility and earnings platform that rewards drivers and cyclists for recording their journeys — transforming everyday travel data into digital value. Supported by Microsoft for Startups, I leverage Azure Cloud and AI-driven architecture to build scalable, privacy-focused mobility solutions. My journey in the blockchain and crypto industry began in 2013, when I started exploring cryptocurrency mining and early blockchain technologies. Over the years, I have continuously refined my expertise — from mining and smart contract development to creating my own tokens and managing ICO launches. This decade-long experience has given me deep insight into the evolution of decentralized technologies and the regulatory challenges shaping the industry today. I combine this technical foundation with entrepreneurial strategy — designing tokenized business models, leading real-world asset (RWA) projects, and building bridges between blockchain innovation and practical, real-world applications. Through EDATApp and other ventures, my focus remains on creating sustainable ecosystems that empower users while anticipating the next wave of blockchain adoption and regulation. In short: I have been continuously evolving in the crypto space since 2013, turning my early passion for mining and blockchain into professional expertise in token design, DeFi architecture, and real-world applications. My goal is to transform emerging technologies into lasting value for both users and investors.

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.

Seasoned fractional CMO in the technology sector. A proven executive level marketing strategist with a track record of driving exceptional results for online businesses. I specialize in driving performance by using a mix of data, creativity and AI. Having consulted with hundreds of businesses ranging from startups to Fortune 500 companies for nearly 20 years, I create marketing strategies that outperform. I frequently share my insights on the technological macro landscape and am always open to opportunities for commentary.

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

In me, you'll find a dedicated, persevering leader with a passion for learning and an eye for detail seeking growth, experience and opportunities to solve novel and challenging machine learning problems. I am a fluent coder in Python, R and SQL. I'm trained in GenerativeAI/Large Language models and cloud computing. In addition to statistical modelling & data analysis, I've 4+ YOE working on popular Machine Learning algorithms for image and natural language processing. I've developed and delivered high-efficiency, high-accuracy end-to-end data science solutions in my 6+ years in the Life Sciences industry. I've experience managing stakeholders and gathering requirements from teams/peers located in the US, Europe and APAC. In most projects, I've directly collaborated with our client partners from major pharmaceutical companies across the globe. My goal is to forge ahead full-throttle – constantly learning, incrementally growing – in pursuit of holistic success.

Welcome to AIinBlog — where technology meets understanding. We're dedicated to making complex AI concepts accessible to everyone, from seasoned developers to curious beginners. Our mission is to bridge the knowledge gap in emerging technologies through clear, actionable, and inspiring content.

I am the Chief Digital Officer and Head of Emerging Technologies at CSM Technologies, a leading provider of digital & AI solutions for various industries and domains. With over 20 years of experience in this field, I have the credentials and competencies to implement digital transformation through disruptive technologies, such as Artificial Intelligence, Generative AI, RPA, IoT, Cloud, Blockchain, Cybersecurity, AR/VR, Geospatial Technology, and Big Data Analytics. My mission is to transform every industry in existence by leveraging the power of data, artificial intelligence, and innovation. I work with a team of talented and passionate professionals who share this vision and strive to deliver excellence and value for our clients and stakeholders. I also enjoy sharing my insights and expertise as a keynote speaker at various forums and events. I am always eager to learn new skills and explore new opportunities that challenge me and help me grow as a leader and a digital innovator.

Senior Data Scientist with 7+ years of experience using analytics and machine learning to enhance digital health products and outcomes. Skilled in Python and SQL. Expertise in product analytics, healthcare analytics, and machine learning. Committed to making a positive health impact.

Motivated data scientist with 3+ years of experience in private and public sectors. Self-motivated to leverage and align accumulated experience in analytics and data science to improve performance and output. Focused on increasing desired performance metrics while providing relevant insight to corporate teams

Divya Chakraborty is the COO and Director at SoftProdigy, driving digital transformation through AI and Agile methodologies. She partners with AWS and Azure, empowering teams and championing innovation for business growth.