SUMMARY:

• Advanced Big Data Analytics executive with hands - on experience in data science, data modeling, and automating multi-billion dollar enterprises. Strong record of success in creating robust Cognitive Data Science platform.

TECHNICAL SKILLS:

Technology and Tools: Architect enterprise level applications, OOP, C#, Angular.JS, Node.JS, SQL, noSql, JIRA, MS Project, Networking: VMWare, SAN, Exchange, and AD, Finance, Accounting, Business Valuations, Modeling, Big Data with Hadoop: Hive, Pig, Spark, Scala, Sqoop, Mahout, Kafka,Flume, Drill, Databricks, Zeppelin, Presto, Phoenix Python: Numpy, Scipy, Pandas, Scikit: Machine Learning, Deep Learning: Torch, Lua, Caffe, C++, R, Data mining, Tableau, Advanced Statistics and Mathematics, Differential Equations, Numerical Methods

PROFESSIONAL EXPERIENCE:

Confidential, Los Angeles & San Francisco Bay Area, California

Head Consultant

Responsibilities:

• Execute Big Data Science, Machine Learning, Natural Language Processing and Computer Vision projects.

Confidential, Los Angeles, California

Chief Data Scientist

Responsibilities:

• Statistical Data Modeling: Propensity, Segmentation, Price, Promotions Elasticity, Cross-Sell & Up-Sell using: Logistic Regression, Multivariate Regression, Cluster Analysis, CHAID, Recommender system, Queuing, News Vendor, EOQ, (Q, R), Fraud detection, caller/Agent match, Yield.
• Deep Machine Learning:
• Computer Vision: Using Convolutional Neural Network, Machine Learning, Theano: Caffe, Torch - Lua-, TensorFlow, and modern techniques for face recognition.
• Natural Language Processing (NLP): Spam detection, sentiment analysis, article spinners, Chat bot, Speech recognition technologies used in Sri, Google Assistance, Cartona, Sequence to Sequence, Generating texts, machine translation using GRU/LSTM RNN, and TNN
• Cluster Analysis and Unsupervised Machine Learning: Pattern recognition, data mining, k-means clustering, hierarchical clustering, with unsupervised learning, dimensionality reduction, and visualization using Theano
• H20: Using H2o predictive models
• Big Data: Hadoop, Hive, Pig, Sqoop, Mahout, Kafka, Flume, Python: Map/Reduce, Amazon Elastic M/P
• AWS Solution Architect: Database, Analytics, Networking, Application & Mobile Services.
• Data mining and Visualization: Tableau 9+, Weka
• Databases: SQL Server, NoSQL: HBase, Cassandra, Mongo, Arura
• Tech. leader: Architect, lead and engineer Rite Route as SaaS based application
• Budgeting: technology operations assumed $1m of IT budget

Confidential, Los Angeles, California

Executive Director, IT | Data Science & Business Solutions

Responsibilities:

• Classification methods: Neural Net, Logistic Regression, Decision Trees, KNN, SVM, Random Forest
• Recommender system: Collaborative filtering, item based
• Regression methods: Linear, Nonlinear, Boosted Regression Tree
• Clustering methods: K-means, Fuzzy C-means, Hierarchical Clustering, Mixture Modeling
• Data modeling: Time-series Modeling/Forecasting using Kresa
• Data sampling: Hypothesis Testing, Experiment Design, Hierarchical Modeling, Bayesian Inference
• Reduction of Acquisition Cost: Built an in-house CRM system; $10m total savings
• SAS: Implementation of SAS database, data modeler; connect it to company’ Confidential CRM, Avaya system
• ERP: In charge of company’ Confidential global ERP - Navision system—Accounting Data and connection to SAS
• Marketing Data Modeling: Implemented Regression analysis; lifted 65% of total revenue
• Increased business profitability: Built Call Monitoring Forecasting that saves $2m annually
• Improved Customer Experience: implemented Intelligent Call Routing; improves 30% of operation cost
• Business Process Automation: Built Inquiries distributions that save 60% of outbound team
• Marketing data: implemented Segmentation, Row Creation, and SAS that saves $800k annually
• Restructured Operation Processes: Built Agent Incentive Tools that saves $1.4m annually
• Big Data Analytics: Build Big Data Analytics platform which brought $400m in 5 yrs.
• Data Center: Build company’ Confidential entire data center for a distributed call center and 3000 global users
• OS and hardware: Linux CentOS 7, Ubuntu, Windows Server, VMWare, web server, email server, UAT and production servers, VPN set up: SonicWALL router, SAN NetApp.
• Compliance: competent with PCI compliance to secure reservation payment gateway
• Assumed budgetary: $1B of company’ Confidential data purchased and appended, a $3m annual team budget

Confidential, Los Angeles, California

Director, Marketing CRM

Responsibilities:

• Built company Confidential marketing CRM database from scratch. It increased company Confidential revenue by 100%.
• Automated more than 10 manual processes which saved 40% of labor costs while it made the processes flawless.

Confidential

Manager, I.T

Responsibilities:

• Design and set up of company servers: UAT, Development, and Production. Web, Exchange, VPN, and SQL Server.
• Design and implement a Global Reservoir Database.

Confidential

Software Engineer

Responsibilities:

• Built a 3-D Geo Graphical tool to simulate underground reservoirs using Gamma ray input data. GeoTool was used to locate a reservoir. It generates an optimum coordinate for drilling path. Using GeoTool, a company can reduce drilling costs by up to 60%.