Best Data Science 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.

Ability to synthesize data insights and present clear, compelling visuals and narratives to drive business action. Passionate about generating meaningful impacts through data. Adept at distilling data into actionable insights to optimize business performance. Technical expertise in statistical modeling, machine learning, and predictive analytics to solve challenges around growth, marketing effectiveness, operational efficiency, and customer experience. Combining technical skills with modern business concepts to streamline crucial decision-making processes.

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

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.

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.

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

Every data-set has a story, one that will impact the company and deliver on business goals. I am the conduit between a business and its data, helping clients architect analytical solutions to produce data driven decisions.

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.

Engaging, understanding, and knowledgeable technical trainer with over 7 years of experience educating students, seasoned employees and new hires in the software industry. Certified as an Azure AI Engineer and a Microsoft Certified Trainer. Also adept at teaching users a variety of software programs and technologies. Dynamic communicator with excellent presentation skills, able to translate complex concepts into understandable terms using creative teaching methods.Proven track record of more than 10,000 students with industry jobs in emerging technologiesI like to be innovative and do special things which brings smile to other people's face. I always believe in a phrase "​ Don't work hard just work with heart.."'As I believe Technology has the power to transform educationWe at Codegnan make every passionate learner realize what they are and pursue their passion to make their dreams come true. We strongly believe “Nothing is Impossible with persistent practice and effort”.

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.

Drumil Joshi is a nationally recognized leader in AI-driven predictive analytics for renewable energy systems. With a Master of Science in Data Science from Indiana University Bloomington and a portfolio of 12 international research papers, 6 patents, and a published book, Drumil combines academic excellence with real-world operational impact. As the sole Monitoring & Diagnostics Analyst at Southern Power, he manages a $450M portfolio of solar, wind, and battery energy storage assets. He specializes in building end-to-end machine learning pipelines, real-time anomaly detection platforms, and operational stability indices that have enhanced renewable energy reliability and reduced manual analysis time by over 25 hours per week. Drumil’s innovative work—featuring cutting-edge tools like Azure Databricks, SHAP interpretability, and Dash visual analytics—has been nationally recognized by media outlets such as Hindustan Times, DNA India, TechBullion, and Silicon India. His mission is to democratize AI innovation for energy and industrial systems by providing tactical, scalable solutions that companies can implement without needing large teams. With a strong foundation in machine learning, energy analytics, automation, and sustainable AI systems, Drumil offers a unique blend of technical depth, entrepreneurial spirit, and thought leadership that continues to shape the future of smart energy management.

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

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.

I am a machine learning and AI specialist with over eight years of experience building models that deliver business impact. My career began in fintech, where I worked on regulatory models at American Express. Later, at Amazon, I led the development of key machine learning models across credit risk, fraud detection, and demand forecasting. These models have been instrumental in shaping product strategies and driving business outcomes. Beyond my technical contributions, I have shared my work at leading conferences. Mentoring aspiring data scientists and fostering a collaborative learning culture is something I am deeply passionate about. I thrive on solving high-stakes problems, creating AI solutions that have a meaningful impact, and continuously pushing the boundaries of what is possible in machine learning.

I am Brian Tham, an Applied Artificial Intelligence undergraduate at Singapore Institute of Technology with a strong academic record and practical experience in AI research and development. My work focuses on advancing AI applications, particularly in the areas of model protection, computer vision, and machine learning. You may view my portfolio/website at https://tham.ai As a Research Student at Singapore Institute of Technology, I've contributed to significant work on AI model protection, specifically focusing on defending deep neural networks against model extraction attacks. My research encompasses model watermarking, adversarial robustness, and advanced defense mechanisms, with practical applications in medical imaging through UNet model implementation for brain MRI segmentation. My technical portfolio includes notable projects such as FoodVision, a real-time deep learning food detection system utilizing YOLOv8 technology, and a Speech Emotion Recognition system based on Wav2Vec2. I've also conducted comprehensive analyses of emerging technologies, including a detailed study of ransomware impacts across various industries and an evaluation of AI chatbot capabilities. Previously, I enhanced medical education at Lee Kong Chian School of Medicine, where my e-learning courseware development contributed to a 20% improvement in student test scores. My professional experience extends to the Ministry of Defence of Singapore, where I specialized in data processing automation and visualization using PowerBI and Excel. I hold multiple prestigious certifications, including Google Professional Machine Learning Engineer, Google Business Intelligence, and AI4I® – Proficiency in AI from AI Singapore. My technical expertise spans Python, machine learning frameworks (TensorFlow, PyTorch), and data analysis tools, complemented by a deep understanding of quantum computing, large language models, and autonomous vehicle technologies. This combination of academic excellence, practical research experience, and technical expertise positions me at the forefront of AI innovation and its real-world applications.

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