Testimonials
🗣 𝗕𝗿𝗶𝗮𝗻 𝗞𝘂𝗯𝗿𝗶𝗰𝗸𝘆, VP of Innovation at Renuity (Enterprise; Home Improvement space; USA based). 🗣
❝ Aaron is just one of those rare individuals you come across that seamlessly blends technical knowledge with business process acumen to deliver massive value to organizations rapidly. Aaron is one of the most organized consultants I’ve come across that can quickly dive into very detail oriented topics and come right back up to provide valuable strategic direction on projects. He’s been a key resource in a Machine learning project that is delivering tens of millions of dollars of bottom-line impact to our business.
Aaron was phenomenal to work with in every aspect. He posses a unique combination of technical and business skills that allows him to drive value in a way that few people can. ❞
🗣 𝗔𝗽𝗿𝗶𝗹 𝗦𝗲𝗶𝗳𝗲𝗿𝘁, Founder of Decision Analytics (Consumer Analytics space; USA based) 🗣
❝ 𝘼𝙖𝙧𝙤𝙣 𝙞𝙨 𝙚𝙭𝙘𝙚𝙥𝙩𝙞𝙤𝙣𝙖𝙡. 𝙁𝙧𝙤𝙢 𝙨𝙩𝙖𝙧𝙩 𝙩𝙤 𝙛𝙞𝙣𝙞𝙨𝙝, 𝙝𝙚 𝙬𝙖𝙨 𝙨𝙤 𝙥𝙧𝙤𝙛𝙚𝙨𝙨𝙞𝙤𝙣𝙖𝙡. 𝙃𝙚 𝙬𝙤𝙧𝙠𝙚𝙙 𝙝𝙖𝙧𝙙 𝙩𝙤 𝙙𝙚𝙚𝙥𝙡𝙮 𝙪𝙣𝙙𝙚𝙧𝙨𝙩𝙖𝙣𝙙 𝙢𝙮 𝙜𝙤𝙖𝙡𝙨 𝙖𝙣𝙙 𝙣𝙚𝙚𝙙𝙨 𝙛𝙤𝙧 𝙩𝙝𝙚 𝙥𝙧𝙤𝙟𝙚𝙘𝙩, 𝙖𝙣𝙙 𝙝𝙚 𝙬𝙖𝙨 𝙘𝙖𝙧𝙚𝙛𝙪𝙡 𝙩𝙤 𝙖𝙧𝙩𝙞𝙘𝙪𝙡𝙖𝙩𝙚 𝙩𝙝𝙚𝙢 𝙗𝙖𝙘𝙠 𝙩𝙤 𝙢𝙖𝙠𝙚 𝙨𝙪𝙧𝙚 𝙬𝙚 𝙬𝙚𝙧𝙚 𝙖𝙡𝙞𝙜𝙣𝙚𝙙. 𝙃𝙚 𝙬𝙖𝙨 𝙞𝙣 𝙘𝙤𝙣𝙨𝙩𝙖𝙣𝙩 𝙘𝙤𝙢𝙢𝙪𝙣𝙞𝙘𝙖𝙩𝙞𝙤𝙣 𝙬𝙞𝙩𝙝 𝙢𝙚 𝙖𝙨 𝙝𝙚 𝙬𝙖𝙨 𝙬𝙤𝙧𝙠𝙞𝙣𝙜, 𝙖𝙣𝙙 𝙬𝙝𝙚𝙣 𝙬𝙚 𝙝𝙞𝙩 𝙥𝙤𝙞𝙣𝙩𝙨 𝙬𝙝𝙚𝙧𝙚 𝙟𝙪𝙙𝙜𝙚𝙢𝙚𝙣𝙩 𝙘𝙖𝙡𝙡𝙨 𝙣𝙚𝙚𝙙𝙚𝙙 𝙩𝙤 𝙗𝙚 𝙢𝙖𝙙𝙚, 𝙝𝙚 𝙥𝙧𝙤𝙫𝙞𝙙𝙚𝙙 𝙢𝙪𝙡𝙩𝙞𝙥𝙡𝙚 𝙧𝙚𝙘𝙤𝙢𝙢𝙚𝙣𝙙𝙖𝙩𝙞𝙤𝙣𝙨 𝙖𝙣𝙙 𝙧𝙚𝙖𝙨𝙤𝙣𝙨 𝙛𝙤𝙧 𝙚𝙖𝙘𝙝. 𝙏𝙝𝙚 𝙚𝙣𝙙 𝙧𝙚𝙨𝙪𝙡𝙩 𝙞𝙨 𝙖 𝙨𝙤𝙡𝙪𝙩𝙞𝙤𝙣 𝙩𝙝𝙖𝙩 𝙄 𝙖𝙢 𝙨𝙤 𝙩𝙝𝙧𝙞𝙡𝙡𝙚𝙙 𝙬𝙞𝙩𝙝! 𝙄 𝙘𝙖𝙣'𝙩 𝙧𝙚𝙘𝙤𝙢𝙢𝙚𝙣𝙙 𝘼𝙖𝙧𝙤𝙣 𝙝𝙞𝙜𝙝𝙡𝙮 𝙚𝙣𝙤𝙪𝙜𝙝! ❞
🗣 𝗠𝗮𝘁𝗲𝘂𝘀𝘇 𝗞𝗹𝘂𝗽𝗰𝘇𝘆𝗻𝘀𝗸𝗶, CEO of Curulis (50 person company; People Analytics space; Poland based). 🗣
❝ 𝙒𝙤𝙬. 𝘼𝙖𝙧𝙤𝙣 𝙪𝙣𝙙𝙚𝙧𝙨𝙩𝙖𝙣𝙙𝙨 𝙖𝙡𝙡 𝙩𝙖𝙨𝙠𝙨 𝙗𝙚𝙛𝙤𝙧𝙚 𝙬𝙚 𝙛𝙞𝙣𝙞𝙨𝙝𝙚𝙙 𝙩𝙤 𝙙𝙚𝙨𝙘𝙧𝙞𝙗𝙚 𝙤𝙪𝙧 𝙣𝙚𝙚𝙙𝙨. 𝙃𝙚 𝙞𝙨 𝙫𝙚𝙧𝙮 𝙤𝙥𝙚𝙣 𝙩𝙤 𝙨𝙪𝙜𝙜𝙚𝙨𝙩𝙞𝙤𝙣𝙨 𝙗𝙪𝙩 𝙖𝙡𝙨𝙤 𝙝𝙖𝙫𝙚 𝙜𝙧𝙚𝙖𝙩 𝙨𝙠𝙞𝙡𝙡𝙨 𝙞𝙣 𝙘𝙤𝙢𝙢𝙪𝙣𝙞𝙘𝙖𝙩𝙞𝙣𝙜 𝙝𝙞𝙨 𝙤𝙬𝙣 𝙞𝙙𝙚𝙖𝙨. 𝙃𝙞𝙨 𝙖𝙥𝙥𝙧𝙤𝙖𝙘𝙝 𝙞𝙨 𝙫𝙚𝙧𝙮 𝙨𝙢𝙖𝙧𝙩, 𝙜𝙧𝙚𝙖𝙩 𝙘𝙤𝙢𝙢𝙪𝙣𝙞𝙘𝙖𝙩𝙞𝙤𝙣𝙨 𝙖𝙣𝙙 𝙜𝙧𝙚𝙖𝙩 𝙥𝙧𝙤𝙙𝙪𝙘𝙩 𝙢𝙖𝙣𝙖𝙜𝙚𝙢𝙚𝙣𝙩 𝙨𝙠𝙞𝙡𝙡𝙨. 𝘼𝙨𝙠𝙨 𝙜𝙤𝙤𝙙 𝙦𝙪𝙚𝙨𝙩𝙞𝙤𝙣𝙨 𝙖𝙣𝙙 𝙘𝙖𝙣 𝙙𝙚𝙡𝙞𝙫𝙚𝙧 𝙗𝙪𝙨𝙞𝙣𝙚𝙨𝙨 𝙫𝙖𝙡𝙪𝙚. 𝙏𝙤𝙥 𝙥𝙧𝙤𝙛𝙚𝙨𝙨𝙞𝙤𝙣𝙖𝙡!❞
Pricing
Keeping Data Science Prototyping Costs as Low as Possible
----- 𝗛𝗼𝘄 𝗗𝗼𝗲𝘀 𝗮𝗻 𝗘𝗻𝗴𝗮𝗴𝗲𝗺𝗲𝗻𝘁 𝗚𝗼?
We build in cycles:
▶️ We collaborate to set realistic goals.
⤴️ I build a little (or work with a team to build).
🔁 I let you know what I found; we restart.
These cycles get larger over time, and stop when you know: "Should you invest more money in data science?"
