Hire the best Big Data Engineers in Massachusetts
Check out Big Data Engineers in Massachusetts with the skills you need for your next job.
- $250 hourly
- 4.6/5
- (83 jobs)
BACKGROUND - Harvard & MIT trained Statistician and Machine Learning (ML) Scientist with particular expertise in Quantitative Finance, Natural Language Processing (NLP), and Causal Inference/Causal AI, with 10+ years experience. - Currently Principal Applied Data Scientist at The Cambridge Group (TCG) leading end-to-end (inception to production) DL and Causal Inference projects for Fortune 100 clients in tech, retail, and e-commerce. Clients include: - Levi Strauss & Co - Shutterfly LLC - Coca-Cola Company - Teaching @ Stanford including XCS234: Reinforcement Learning, XCS224W: ML over Graphs & Networks, and XCS221: Artificial Intelligence - Former Chief Data Scientist in the Quantitative Finance and Venture Capital/Private Equity spaces (AIMatters & BuildGroup), leading design and building of Deep Learning, Natural Language Processing (NLP), and Reinforcement Learning systems for identification of investment opportunities & ML-built ETF (Exchange Traded Fund) - Former Research Fellow at Harvard University, and former Adjunct Faculty in Statistics at MCPHS University - Trained in state-of-the-art Causal Inference techniques by pioneering Harvard faculty with expertise in G-Methods (i.e. G-formula, G-Estimation, etc), Doubly-Robust Estimation, Causal Discovery, Targeted Maximum Likelihood Estimation (TMLE), Double Machine Learning My research interests lie at the intersection of Quantitative Finance, NLP, Experimentation, Causal Inference, and Deep Learning. I’m trained in state-of-the-art Causal Inference techniques by pioneering Harvard faculty, and am a proponent of G-Methods (i.e. G-formula, G-Estimation, etc) and Doubly-Robust Estimation techniques. I have deep interests in specialized techniques for leveraging non-Donsker class ML estimators for Causal Inference, including Targeted Maximum Likelihood Estimation (TMLE) and Double Machine Learning (DML). I’m also interested in the connections of these topics to more “traditional” areas of Deep Learning, including Natural Language Processing, Reinforcement Learning, and Knowledge Discovery over Probabilistic Graphical Models. MACHINE LEARNING / DEEP LEARNING EXPERTISE: - Deep Learning (ConvNet, RNN, LSTM, Transformer, etc) - “Traditional” Machine Learning (Random Forests, Gradient Boosting, SVMs, Stacked Ensembles, etc) - Natural Language Processing (NLP) - Computer Vision - Reinforcement Learning - Generative Learning - Probabilistic Graphical Models - Graphical/Network Machine Learning - Recommender Systems - Interpretable AI - ML + Causal Inference (TMLE, Double Machine Learning) STATISTICS EXPERTISE: - Mathematical Statistics - Stochastic Processes - Statistical Learning Theory - Bayesian Inference (Parametric & Nonparametric) - Survival Methods - Advanced Study Designs (Observation, Case-Control, etc) - Experimentation (A/B testing, Multi-Armed Bandits, Adaptive Trial Design, etc) - Causal Inference Methods (G-methods, Propensity Score methods, IV estimators, etc) SOFTWARE/PROGRAMMING STACK: - Scientific Computing: Python (NumPy, Pandas, Scikit-learn, Matplotlib, etc), R, C++, MATLAB, STATA, SAS - DL frameworks & Optimizers: PyTorch, TensorFlow, Optuna, Hyperopt - Distributed Computing: PySpark, MLlib (exposure to native Spark w/ Scala, & Hadoop) - SQL: MySQL, Microsoft SQL Server - Production: Docker, Flask, Airflow, MLflow, Git, CircleCI - Cloud: Amazon AWS (exposure to Microsoft Azure and Google GCP)
Big Data
StatisticsApache HadoopSQLData ScienceMachine LearningRMATLABC++Python - $175 hourly
- 5.0/5
- (1 job)
What I have done in a nutshell: - Designed, built, and maintained multiple mobile and web apps, cloud infrastructure, and architecture roadmap. - Assisted clients in migrating to AWS and Azure Cloud. - Helped clients solve complex technological, security, performance, and scalability problems. - Assembled, mentored, and led talented, passionate, and hardworking teams. Domain expertise: - Medical and clinical trials - Healthcare, pharma, and medical devices, including Software as a Medical Device (SaMD) - Validated software development in regulated areas such as FDA approval, HIPAA, GDPR, etc. - IoT - Financial and insurance - Retail management and operations - Human resource management - Big Data Analytics - Diabetes management My passion is delivering innovative, modern, and high quality software products to my clients. I build long term relationships. Our clients come back and refer others. As a software engineer and architect at heart, learning new technologies and new methods and applying them in the day to day work is a never ending endeavor. As a technical leader I understand a successful project requires constant attention to the client's needs and the needs of the team. Efficient teams understand and share vision with the client and among themselves, and have a strong, positive culture. I make it a personal responsibility to ensure the success of every project. Please refer to my LinkedIn profile for additional information and recommendations. Leo Kudryavtsev
Big Data
MicroserviceMobile Development FrameworkKubernetesBluetoothJavaScriptJavaAmazon Web ServicesCloud ComputingDockerAPI DevelopmentArchitectural Design - $70 hourly
- 0.0/5
- (1 job)
Effective content developer who specializes in messaging and positioning for technical products and services. I have worked with technology ranging from AI and machine learning to networking and software to wireless power transfer and service assurance. The content I've developed includes collateral (white papers, data sheets, overview brochures), web content, video scripts, blog posts, emails, social media, press releases, sales enablement content, and much more. I work fast and effectively, and pick up new technology very quickly.
Big Data
Tech & ITSimulation GameArtificial IntelligenceComputer NetworkSoftwareHubSpotEvent ManagementEmail Marketing StrategyCampaign CopywritingContent MarketingProduct LaunchBrand PositioningSales EnablementMessaging FrameworkContent DevelopmentCase Studies - $20 hourly
- 5.0/5
- (1 job)
Jiaxin is a recent graduate from Brandeis International Business School. He has dual-major in Computer Science and Economics from his undergraduate degree at Brandeis University. He has taught classes at Brandeis Precollege for web development and Introduction to Coding while also working as a research assistant for two professors focusing on trade economics and business analysis. Jiaxin has interned as a business analyst for startups and also worked as an investment banking analyst at GF Securities. He has an interest in data science as well as research in economic and financial analysis.
Big Data
CSS 3BootstrapCSSDatabaseMobile AppWeb ApplicationAnimationNode.jsHTML3D AnimationMongoDBJavaMachine LearningMATLAB - $100 hourly
- 0.0/5
- (0 jobs)
Motivated DevOps engineer with SWE background, expert at building reliable, secure, scalable infrastructure in automated fashion. Previously at F500 companies, was exposed to large scale, high pressure environments, currently working at geospatial startup with full control over DevOps and MLops strategy. Skills * Proficient in Python, R, C++, C#, SQL * Experienced in git, Ansible, Terraform, boto3, bash, & more * Cloud Networking (VPC, Security, Load balancing, etc) * Proven AWS expert; designs DRY, secure, & scalable infrastructure to support HPC workloads * Results driven; track record of improving and automating manual, slow, and costly processes * Proactive communication skills and AGILE mindset
Big Data
LinuxDaskCI/CDAmazon EC2Machine LearningPythonTerraformGitLabKubernetes - $65 hourly
- 0.0/5
- (0 jobs)
• Leading a team to build distributed and scale IoT platform on AWS cloud to connect all the Philips devices for global Inventory and operational Insights. • Leading a team to build big data platform using Hortonworks for acute patient care. • Leading an effort how IBM delivers software install and deploy media which includes in place upgrade and rollbacks. Wrote a platform using Eclipse SWT to replace Microsoft MSI • Integrating Open source OpenSAML2.0 for SSO login to IBM Applications and Pega applications. Expert knowledge in Java API for OpenSAML2.0 and OpenAM and IDP. • SME for IBM Websphere MQ, Rabbit MQ, Open MQ to integrate with Pega BPM application for complete JMS implementation for message oriented system integration. • Expert knowledge in Hadoop/Spark, created a big data platform for inhouse deployment using Hortonworks distribution to churn more than 1 PB of data. • Good knowledge of Hazelcast and Multitenancy for Pega SaaS of-fering. • Good knowledge of AWS, EC2, S3, Docker. • Solid Application Server knowledge for IBM WAS, JBOSS, Oracle Weblogic. Good understanding of Tomcat servlet container. • Develop SOA services in SOAP/REST to integrate with Pega Applications. • Work with Global Customer Support team to resolve high severity Customer issues. • Mentor and train new team members to get started with product and process. • Experience with large-scale search and discovery platforms such as Elastic Search and Lucene. • Excellent knowledge of Relational Databases, SQL and ORM technologies (JPA2, Hiber-nate). • Expert level knowledge on different databases like DB2, Oracle, MSSql, Postgresql • found insight of Java and JEE internals (Classloading, Memory Management, -Transaction management etc)
Big Data
Cloud FoundryDistributed ComputingSpring CloudCloud ComputingSaaSSpring BootAngularJSJavaASP.NET Core - $20 hourly
- 0.0/5
- (0 jobs)
Throughout my academic journey, my analytical thinking and problem-solving skills have guided me toward tackling complex challenges, particularly in mathematics, which inspired my pursuit of a degree in Electronics and Communication Engineering. During my undergraduate studies, hands-on experience in projects such as designing wearable emergency communication systems and implementing robust communication protocols using VHDL further deepened my passion for innovation. My internships, where I integrated image processing into advanced systems and developed real-time data acquisition architectures, shaped my interest in applying engineering to solve real-world problems. This led me to pursue graduate studies in Electrical and Computer Engineering, focusing on cutting-edge areas like computer vision, machine learning, and algorithms. I firmly believe that this advanced education will empower me to evolve both personally and professionally, enabling me to contribute meaningfully to the technological advancements I am most passionate about.
Big Data
RoboticsDigital Signal ProcessingEmbedded SystemArtificial IntelligenceAltium DesignerC++Object DetectionImage ProcessingComputer VisionDeep LearningMATLABPythonMachine LearningMachine Learning Model Want to browse more freelancers?
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