Data and Technology Strategy Automated machine learning, data science, recommender systems, personalization, know your customer, enterprise customer feedback systems, algorithm design, Big Data, C++ to STL level, R, , kDB, Q, Python, computer vision, agile framework econometrics, forecasting, FIX protocol. linear and non-linear regression, multivariate time series models, dynamic factor models, modern statistical learning approaches. Data management, data engagement, data warehousing, ,Statistical models, Pig, Impala, Sqoop, Oozie, ZooKeeper, Sentry, Spark and Hue. YARN Capacity Scheduler, HFDS, MapReduce, Sqoop, Hive, HBase, Flume, Impala, Solr.
Industries: Telecommunications, financial service, retail, B2B, B2C,edtech
Seasoned quantitative analytics specialist with experience in EVA, credit (migration), analytics, model validation, model risk analysis, backtesting, QRM-BSM, GLM risk segmentation, digital strategy, marketing strategy
Strong skills TCP stack optimization, mutli-core 1 machine parallelism, and/or low level cache optimization/profiling. Exchange/ECN connectivity , bash, Factset, haver, Bloomberg, FAME, AREMOS, mongoDB, NoSQL, Cassandra, Hadoop, Xml messaging, change management, agile development, Python, NumPy, SciPy
Vendor Management, Project Management, Integration, IT Strategy, Business Process improvement
Specialties: Big Data and Quantitative Analytics. Saas (Software as a service), Machine Translation, artificial intelligence, machine learning as a service, recruitment, equities, sql python (programming), project management, SQL, MLOPS