Sr. Data Scientist / Sr. Architect Resume

SUMMARY:

A successful and diverse background spanning machine learning, data science, big data, and IT networking with expertise in developing disruptive analytical solutions and services. Strong experience and success working with global teams, vendors, clients and key customer accounts. Authored several papers and patents.

SKILLS & TOOLS:

Machine learning, Statistics, Networking
SAS, R, Python, C/C++, Java, TCL
MySQL, NoSQL, Hadoop, MapReduce
AWS Kinesis, Tensorflow, Tableau, SparkMLlib, SparkR

PROFESSIONAL EXPERIENCE:

Sr. Data Scientist / Sr. Architect

Confidential

Responsibilities:

Developed and invented machine learning algorithm based on Confidential and Confidential ’s time series forecast models for the anomaly detection in real time data. Also, invented the algorithm for the prediction interval in real time. The algorithms are to be implemented as AppD next release.
Developed and built real time forecasting and anomaly detection models using neural network techniques LSTM/Tensorflow and RNN for IT system performance management such as bandwidth and memory usage. This PoC passed the internal review and was well received in Confidential IT.
Built and developed PCA model for multivariate anomaly detection in the streaming. The model and algorithm are being integrated within the big data streaming infrastructure of recent acquisition Perspica, and it has been released in AppD 4.5.1 release, which supports customers with subscribed based multimillions revenue.

Director, Data Science

Confidential

Responsibilities:

Brought on board to create and manage the data science organization, built big data platform for IoT analytics with the integrated system of Hadoop, Hive, Kafka, Spark, and SparkR. The platform supported multiple customer accounts and deliveries.
Built and developed scanner risk analytics and error/warning prioritization models, warehouse business discovery and process optimization models, flight delay and delay time forecasting models, coffee supply chain optimization using logistic regression, clustering, and time series techniques.

Principal Data Scientist / Sr. BOM

Confidential

Responsibilities:

Invented the customer critical case escalation (CAP) early warning system achieved more than 90% accuracy. The system was built using logistic regression, random forest, and k - NN. The system could potentially save Confidential multimillion dollars of the technical support annually.
Pioneered the development of the Network Performance Index (NPI) using the clustering technique and developed the algorithm, and implemented as the KPI for Confidential multimillion-dollar service products Network Performance Analytics ( Confidential ).
Managed and guided the team to develop the unsupervised machine learning SVM model for forecasting critical events using DNA. It was demoed in Confidential Live 2015, and was well received.

Manager, Software Development

Confidential

Responsibilities:

Oversaw all aspects from product definition, development, to release of Survive Remote Site Telephone products recognized by industry as innovative products in IP telephony. The product became the key voice products to drive the access routing revenue.
Confidential won prestigious Confidential Pioneer Technology 2001.
Gained distinction in managing teams to develop and release Confidential innovative product Integrated Service Router ( Confidential ).
Managed the team to develop high-density voice module and DSP sharing feature development for Confidential .
Confidential won the Pioneer Product award, and generated multibillion dollars revenue.

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