Eng Hui Yap Email & Phone Number

Houston, Texas, Us

Lead CX analytics team to deliver business solutions and strategic tool development; provide thought leadership on enterprise analytics strategy- Transcript Analytics: topic modeling, keyword generation- Survey Analytics: unsupervised and supervised attention-based deep learning NLP models- CX tools: customized alerts and applications enabling 360-view of client interactions, using RShiny and SQL- Data Engineering: designed and co-implemented data model and API-based ETL for Genesys call data to Snowflake- Bias in AI/ML: incorporate bias checks into model development and governance

New York, Ny, Us

Recommended and delivered business solutions based on stakeholder needs; provided thought leadership on enterprise analytics strategy- Call Transcript Analytics: identified pain-points in contact centers with recommended actions- Causal Inference: quantified the impact of advisor engagement on client retirement readiness- Surrender Predictive Model: predicted institutional clients with high surrender risks for mitigation- Data Strategy: co-developed AIG Retirement Services (AIGRS) Data Strategy, based on extensive interviews of data practitioners. Delivered a 3-phase implementation plan to AIGRS Transformation Office.

New York, New York, Us

Led client engagements with cross-functional teams using proprietary A.I. research engine; built internal team and processes in startup setting.Selected work:- Customer Churn: Identified behavioral patterns from customer call, web, and transaction activities, resulting in improved predictive model that translates to 10% (>$20M) in additional asset retention.- Cross-selling: Built product-specific models to rank customers on likelihood to purchase new products, based on existing portfolios; achieved 4x lift in identifying cross-sell opportunities.- Insurance Risk modeling: built Random Forest, GLM models to predict claims frequency and severity for non-weather-related water loss; incorporated and established predictive signal from novel NASA elevation data.- Training: developed materials and conduct training on Data Science methodology and SparkBeyond software.

Chicago, Illinois, Us

Summary: Lead analytics-driven marketing campaigns for Canada and Australia.• Machine Learning (Python/PySpark): - Build Random Forest/Gradient Boosting models to predict marketing response and credit approvals - Developed Naïve-Bayes model to predict industry-sectors given business names• Data Sourcing/ Scraping / Cleaning • Business Intelligence / Funnel Analytics

Bronx, New York, Us

Summary: Algorithm development using statistical and biophysical models to predict protein-protein interactions.1) Unsupervised Learning (R/Perl): applied hidden Markov models and hierarchical clustering on interaction data (18 Gb) to successfully functionally cluster 500+ proteins.2) Ligand prediction using Machine Learning (C++/Perl/Python/R): (i) Feature Engineering through odds-ratio analysis on dynamics data (2.75 Tb); (ii) applied Random Forest and Support Vector Regression to predict binding patterns(iii) screened candidates using dead-end elimination and combinatorics; achieved superior accuracy (52% vs. 11%) over leading methods. 3) Biostatistical Analysis (R/Python): identified transcription factor binding motifs from ChIP-chip data using hypergeometric tests; analyzed next-gen RNA-sequencing data to identify statistically significant genes (Fisher exact test) in brain tumors

Berkeley, Ca, Us

Develop theories and algorithms for computational modeling of protein-protein interactions: (1) coarse-grained model for protein folding and aggregation(2) novel semi-analytical solution of Poisson-Boltzmann electrostatics using multipoles(3) protein engineering of de novo enzymes

• Led a multi-disciplinary engineering team on marine / offshore installation projects• Designed and installed electrical and instrumentation systems• Mediated between clients and vendors to achieve optimal engineering solutions• Implemented a materials-tracking database in MS Access

Part of 6-member team; launched a business plan competition, identified investment opportunities, and provided seed funding for a semiconductor startup.

Ph.D, Bioengineering

M.Sc., Electrical Engineering