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Fernando Ferrer

Business Intelligence Specialist
With expert knowledge of Postgres, Oracle, Redshift, & SQL.
Fernando Ferrer is a data consultant specializing in big data analytics and statistical software implementation. He has expert knowledge of Postgres, Python, Redshift, Oracle, Hadoop, SQL, and MongoDB. His clients include AddShoppers, SkillerWhale, AppviewX, Sante Circle Health, SERMO, and Government of Estonia, among others.

Manu Jeevan Prakash

Business Intelligence Specialist
Specializes in Python, machine learning & data science.
Manu Prakash is an analytics and digital marketing expert with over four years of experience in SEO, content marketing and SEM, and a documented record of success in increasing online presence and brand awareness. He has worked at the intersection of business and data science at KDnuggets, Crayon Data, Redevon IT Technologies, and Ideas2IT. As a writer, he blogs about big data, Python, data science, and machine learning. Manu is also Google Analytics, Google AdWords, and HubSpot Content Marketing certified.

Pete Melgren

Business Intelligence Specialist
Former data scientist for the Cincinnati Reds.
Pete Melgren is a data scientist with seven years of experience working on end-to-end predictive analytics projects. He has consulted with cross-industry clients on the use of data science concepts such as machine learning, data mining, business intelligence, and predictive analytics to meet their business needs. As a former data scientist for the Cincinnati Reds, he performed in-depth research of advanced baseball physics measures using statistical techniques that include linear regression, linear classification, mixed models, GAM models, and machine learning methods such as XGBoost. Pete also has advanced knowledge of SQL, R, Python, and AWS.

Kate Tyshchenko

Business Intelligence Specialist
Data scientist, market researcher and data analytics expert.
Kate Tyshchenko is a data scientist with five years of management consulting experience in analyzing and drawing insights from various types of data, including financial, risk, marketing, economic, and behavioral data. For the past two years, she has been working on a marketplace for group dinners, designed and deployed an MVP and used behavioral microtargeting to develop marketing campaigns which helped her to determine the product-market fit and acquire users over a short period. At Deloitte, Kate has evaluated the effectiveness of various startup and technology funding programs offered by the Government of Ontario through market research, financial analysis, and data analytics.

Sagar Goli

Business Intelligence Specialist
Former group manager of data & analytics at Avanade.
Sagar Goli is a data and analytics expert with experience in implementing data warehousing and business intelligence solutions specializing in Microsoft Business Intelligence practice. His fields of expertise include data and analytics, data warehousing, business intelligence, data integration, data governance, master data management, visualizations, and operational reporting. He has worked for big companies such as Avanade, Pfizer, Marlabs, Eli Lilly, and Progressive Insurance.
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Most teams see matched candidates within 48 hours. Our pre-vetted network means we are not starting from scratch when you reach out. If we do not have the right person available, we will tell you upfront rather than scramble.
Practitioners vet practitioners. Your growth marketer candidate gets interviewed by someone who has run growth at similar companies, not a recruiter checking keywords. We combine technical assessments, portfolio reviews, and cultural fit screening before anyone reaches your inbox.
Contract talent works on defined projects with clear deliverables. Embedded talent integrates into your team for ongoing work, attending standups and using your tools. Both can transition to full-time if the fit is right. We help you choose based on scope, timeline, and budget.
If it is not working in the first few weeks, we will find you a replacement at no additional cost. We are not in the business of defending bad matches. Most clients never need this because we invest heavily in fit upfront.
We offer flexible engagement models: hourly for short-term projects, monthly retainers for ongoing work, or placement fees for full-time hires. No hidden fees, no long-term contracts unless you want them. Your account manager will walk through options on your discovery call.
Yes. Someone who thrived at Google with dedicated QA, DevOps, and product managers may flounder when they have to wear all three hats. We look for people who have operated at your stage, pace, and level of ambiguity.
Yes, and not just the flashy demo-building part. Our Agent Operations practice includes people who have run AI agents in production and dealt with the messy reality of keeping them reliable, cost-effective, and safe.
Most marketplaces optimize for volume. They send you 10 candidates hoping one sticks. We optimize for fit. We would rather say “we do not have the right person” than waste your time. Our 95% satisfaction rate comes from being selective, not fast.