Hire Freelance StatsModels Developers and Engineers
John Muller
John is a computer scientist, data scientist, finance quant, and creative problem solver. He loves the challenge of taking on real-world problems with algorithms, data structures, and professionally written code. John has a Ph.D. in computer science and over ten years of experience using R and Python and for modeling and visualization, and data manipulation. John is an effective communicator with both technical and business-oriented colleagues.
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Camila Andrea Gonzalez Williamson
Camila is a data scientist and software developer with more than four years of in-depth experience discovering statistical patterns in data, creating data visualizations, building machine learning models, and developing data-processing pipelines. She's worked on projects in various industries and been exposed to a very diverse set of technologies for data science. Camila has a high level of intellectual curiosity, creativity, and definitely enjoys helping businesses bring value from their data.
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Nicolas Mallison
Nicolas is an expert data scientist with over 24 years of experience using programming languages, including R and Python, to design and develop AI/ML data products, combined with strong practice leadership and people management skills. Nicolas is a published author and thought leader with a vast track record of success in implementing new and innovative ways of achieving the most scalable, data-centric outcomes to drive new business while promoting a consultative and collaborative environment.
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Igor Stankevich
Igor is a results-driven quantitative development professional with progressive industry experience in commodities, deep learning, computer vision, and data science. He has demonstrated hands-on financial and AI software development experience with in-depth knowledge of Python. Igor consistently attempts to find the best value-add opportunities and contribute to the team as a whole.
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Carlos Guerreiro
Carlos is an exceptional data generalist who brings vast experience in the design, implementation, and validation of data-intensive systems to all of his projects, along with deep expertise in machine learning and real-time stream processing. He has worked in the eCommerce and media industries, working for large corporations and startups. Carlos is a versatile engineer and looks forward to his next challenge.
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Tang U-Liang
Tang is a data scientist and educator with expertise in using Python to deliver high-quality insights and analysis to clients. He consulted on projects involving job market analytics, event footfall analysis, HR and talent analytics, and at-risk student modeling. Tang specializes in natural language processing, statistical modeling, and predictive modeling.
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Tamara Makarova
Tamara's recent professional experience includes analyzing financial and transaction data and dealing with various supervised and unsupervised data problems. Along with having strong analytical skills and math background, Tamara is also a proactive and highly motivated person focused on extending and leveraging her expertise in data analysis, machine learning, and data visualization.
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David Kritzberg
After completing his doctorate in economics, David worked for a year as a professor before switching gears into data engineering and data science. He's built a consulting business in the healthcare system space, providing custom solutions and currently bootstrapping SaaS products for surgery centers.
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Frank Lobe
Frank is a highly skilled database application developer with 17+ years of expertise in Progress 4GL/OpenEdge ABL. His proficiency extends to analysis and design. With a background in commerce and applied information technology, Frank excels in constructing expansive financial systems for the brokerage, mutual funds, and banking sectors. He has successfully worked on projects with budgets of up to $250 million, serving thousands of users and driving significant profits.
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Olgierd Michalak
Olgierd specializes in data analytics, data science, and data engineering on Google Cloud using Python. He is well-versed in business and finance concepts and can build data processing and analytics solutions that fit well with the overall business and finance strategies. Faced with complexity, uncertainty, risk, volatility, and ambiguity, he turns to Agile. Recently, he worked on developing data processing pipelines for data warehouses, analytics, ML, and reporting.
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Reema Kumari
Reema has 4+ years of experience in machine learning and data analytics across various projects, such as movie scheduling, cargo space optimization, loan recovery, and digital products. She has focused heavily on natural language processing in the digital product space, and she is proficient in Python and R. Reema is also an incoming student in the UCLA Master of Engineering program, focused on artificial intelligence.
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