Clem Riedel Email & Phone Number

California, United States

Oakland, California, Us

- Manage a team of 6+ people. Identify strategic pillars: detail them into technical roadmaps and objectives; with planned dependency across engineering teams; aligned with product strategy.- With Credit Karma $1.6 billion annual revenue, a 3% revenue gain generates about $50 millions. My team built dozens of successful variants supporting the main business verticals of credit cards, personal loans, mortgage, auto.- Models include click rate, approval odds, propensity, tax, refund advance deposit, engagement, churn… Each model is built end-to-end under operational excellence (explainability, monitoring, quality, efficiency).

Oakland, California, Us

Staff ("Multiple teams leader") since Feb 2019. Senior DS since Feb 2018.- Build variants of models to improve the Credit Karma app (recommender system) to be optimized along metrics.- CK Tax: Propensity (classification using deep learning) for members to file taxes with Credit Karma. High propensity members are 3x more likely to file than baseline leading to 2M members filing establishing CK Tax as the fifth-largest provider two years after launch -while accelerating the other business verticals revenue to $1.6 billion.- Approval Odds model: Developed algorithms, engineered new set of features and automated model training scoring. Improve approval odds and revenue per member by statistically significant undisclosed metrics. I think Credit Karma has the best Approval Odds in the industry and would love to debate with limited public data.

Berkeley, Ca, Us

✔ Leading and training data scientists. Developing data products, teaching classes, (Supervised / Non supervised learning, regularization, gradient descent, neural networks, machine learning system design, support vector machine, anomaly detection, recommender system, dimensionality reduction. Using python, matlab, git).http://dlab.berkeley.edu/working-groups/berkeley-machine-learning-group

Berkeley, Ca, Us

✔ First author paper in Nature.By using single molecule techniques such as atomic force microscopy, fluorescence correlation spectroscopy and optical tweezers I measure biophysics properties of single molecules and describe their behavior via data analysis and theory. Enzymes catalyze chemical reactions and are essentials in any living system. I have quantitatively describe how the heat released by a single chemical reaction affects the structure, kinetics and dynamics of the enzyme.The heat released during catalytic turnover enhances the diffusion of an enzyme. Nature 517(7533):227-30 | C. Riedel et al

Madrid, Comunidad Autónoma De Madrid, Es

✔ 3 publications.I have developed Electrostatic Force Microscopy simulation to compute the interaction between the tip of an Atomic Force Microscope and dielectric sample.

Montpellier, Fr

I went to the top of Aragat Mount (Armenia) to install a home made radio-detection system of Electromagnetic Air Shower. EAS are created by high energy photons originating from intense astrophysical phenomena such as star explosions, rotating black holes... I felt really lucky to have been able to participate in the physical study of these phenomena, the creation of the radio-detection antenna and codes to control them and analyze the data, actual on-site installation with all sort of unexpected issues (like a discussion with custom officers about finding an agreement for us to import a technology).

Montpellier, Fr

I performed a numerical study of the sensitivity of a NASA satellite to detect dark matter (http://fermi.gsfc.nasa.gov/). What is dark matter? To be honest: we don't really know; but we have hints that it is similar to regular matter (regarding its gravitational definition), except that it does not emit light. Something that does not emit light is invisible to the eye so it was a little bit tricky to study but I had a lot of fun. Collaborating with scientists from one of the best university in the world (SLAC -Stanford was in charge of the production) was really interesting.

Doctor Of Philosophy (Phd) Universidad Pais Vasco / Universite Montpellier, Physics

Core Of Bunisess Administration

Data Science Immersive, Data Science

Master, High Energy Astrophysics