Sumanyu Sharma Email & Phone Number

San Francisco, CA, US

San Francisco, California, US

If 2023 was the year of AI demos / POCs, 2024 is the year of reliable AI Voice Agents.We help engineering teams make their AI Voice Agents reliable. We are hiring!

I consult and advise startups + public companies on data science and growth strategy

New York, New York, US

I ran a growth-y data science team @ Citizen. We supported the following functions: product, marketing, expansion, policy, and operations. In addition to supporting other functions, my team directly ran 5+ weekly growth and revenue-increasing experiments (pricing tests, onboarding experiments, feature launches, etc.)I 2xed the team size to 6 directs. My.

New York, New York, US

I joined Citizen as its 2nd DS. I helped 4X MAU, drove strategic discussions with board members around pricing + fundraising, and sharpened the team's product/growth thinking through a metrics-first lens.Highlights- Made capital allocation decisions to fund or de-fund entire teams by comparing growth vs. revenue trade-offs- Helped set OKRs for the entire.

Austin, Texas, US

Built machine learning-based systems that drove millions in revenue, increased gross margins, and optimized efficiency by 10x across the org. Worked with the C-Suite to lead high-performance teams and execute critical, high-profile business initiatives.Notable wins:1) Saved $2M / year and drove⭡$XXXM / year in additional revenue (without an increase in.

Austin, Texas, US

Machine learning @ Growth; see⭡for the wins

Waterloo, Ontario, CA

Content based techniques for medical image retrieval. Techniques used: stacked autoencoders (deep learning), LSH / k-NN, various classifiers (SVM, random forests, etc.) and domain heuristics.Lead author in published paper: https://arxiv.org/pdf/1610.00320.pdf

Milpitas, CA, US

Domain modeling, API design, reactive backend services (user management & auth, time series, biz logic), devOps (scala, docker, kafka, akka, elasticsearch, mongo)Co-­developed datacenter simulator (akka). Benefits: more robust, exhaustive & cheaper testing; also what­if scenariosCo-­developed power optimization algorithms (core IP) which can reduce the.

San Mateo, California, US

Lead Reflektion’s search and relevance team of four engineers (reported directly to Chief Data Scientist); deployed new products to customers such as Converse.comDesigned and implemented Reflektion’s search product (API, backend services); increased customer engagement by 70% and increased conversion for our customers by 26% (python, pyramid.

San Francisco, California, US

Shipped core application features using Rails; A/B testing; featured in CNN & MSN Money.Marketing strategy and customer development with co-founders (Bo & Jon)