Ji (Sylvia) Qi, Phd Email & Phone Number

Mountain View, CA, US

Menlo Park, CA, US

Ads Ranking, Ads Core ML Team

San Antonio, Texas, US

San Antonio, Texas, US

• I’ve supported multiple bank analytics and intelligence initiatives to automate decisions and solve business problems. My main responsibilities are model development, helping business identify and formulate data.
• Text classification model to identify regulatory related call transcripts for compliance review and employee coaching. Conducted human labeling. Explored traditional NLP approaches as well as customized word embeddings.
• Text classification model to classify the reasons customer withdraw mortgage.
• Prototyped OCR models to detect sensitive information in pdf document.
• First party fraud detection models to identify first party fraud using XGBoost. The models have >20% higher precision and >5% recall than existing business rules approach. Overall FTE cost savings and additional fraud.

• Developed a fashion style recommender PerfectHeels which recommends shoes for a dress based on a user-provided photo.
• Applied image processing using Scikit Image, OpenCV, PCA, k-means, k-NN, random forest, and SVM to recognize the attributes of dresses with an average accuracy of ~ 80%.
• Deploy interactive webapp PerfectHeels to find matching heels using Bootstrap, Flask, and AWS.

Houston, Texas, US

• Algorithm development and implementation for sampling while drilling tool SpectraSphere. Developed and improved optical techniques for down-hole fluid analysis.
• Developed fluid analysis algorithms using data mining, machine learning, and multivariate analysis for downhole NIR spectrometer and multi-physics sensors, improving accuracy of fluid fraction by ~ 10%.
• Designed and built test systems for characterizing optical sensors as well as collecting experimental data for algorithm development and validation.
• Developed and implemented prognostic health management module for downhole NIR spectrometer, saving up to 2 days maintenance time on every job.
• Led several innovation projects and collaborated across functions for new sensor feasibility studies and answer product algorithm development.
• Conducted technical reviews on projects’ requirement specifications, evaluation of technical approaches, and risk analysis, all while ensuring the outcome of the projects meet the expectation of both Schlumberger and.

Houston, TX, US

• Developed novel optical techniques and instrumentation for hyperspectral imaging and optical sensors by Raman spectroscopy, surface-enhanced Raman and exploring their applications in biosensors, chemical imaging.
• Developed two high-speed Raman imaging microscopy systems with automated data acquisitions. The overall imaging speed has been improved up to 100 times and 1000 times in the two Raman systems respectively compared to.
• Developed Raman and surface-enhanced Raman spectroscopy sensors for numerous applications, such as mapping hydrocarbon distribution in algae, detecting DNA hybridization, detecting bacterial spores, as well as.
• Identified biological tissue using SVM by combining optical coherence tomography and Raman spectroscopy with ~ 100% accuracy.
• Detected tumor/health tissue boundary. Identified well differentiated liposarcoma using univariate analysis with a p-value less than 0.01.
• Diagnosed and identified different stages of nephritis by Raman spectroscopy combined with LDA with 98% accuracy.

Paris La Défense Cedex, FR

• Part-time internship with TOTAL. Conducted performance analysis for Co-Array Fortran (CAF) application in seismic image processing in high performance computing team.
• Compare the reverse time migration computation efficiency by Intel Fortran compiler and UH CAF compiler in hypercube and dragonfly networks.
• Recommended the engineering team to use CAF compiler for higher efficiency and easier code maintenance.

Tucson, Arizona, US

I mainly conducted modeling and simulation for optically interconnected high performance computing systems and network on chip.

Doctor Of Philosophy (Ph.D.), Electrical And Computer Engineering

Master Of Science (M.S.), Computer Engineering

Bachelor Of Science (B.S.), Electrical Engineering