Over almost three decades, I have developed proficiency and expertise in the following skills.
Python
R
SQL
C++
Scala
Spark
BigQuery
Oracle
SQL Server
DB2
Redshift
Mongo DB
Teradata
Netezza
SQLite
Neo4j
Algorithm optimization for production
Automation of model calibration
ML lifecycle management
Underlying distributional anomaly detection
Hyperparameter tuning
Model governance
Baseline security clearance
Australian Citizen
R (Dplyr, Ggplot2, Shiny, Lubridate, Knitr, Tidyr, TensorFlow, Rmarkdown)
Python (NumPy, Theano, Keras, PyTorch, SciPy, PANDAS, PyBrain, SciKit-Learn)
Advanced Predictive Analytics
Model Development
Sorting & Matching Algorithms
Model Validation & Stress Testing
Quantitative Finance Analytics
Credit & Market Risk Analytics
Fraud Detection Analytics
Pure Mathematics, Riemannian Manifolds, Algebraic Topology, Stochastic Optimization
Computer Science, Machine Learning, AI, Deep learning
Data integration tools (Talend, DataStage, Informatica)
Hadoop HDFS, MapReduce, Sqoop, Hive, HBase, Flume, Impala, Solr, Talend, Spark, Presto
Analytical appliances (Teradata, Vertica, Netezza)
Big data storage formats (Parquet, ORC, Avro)
3NF models, star schemas, SCDs, Data Vault
Batch processing/real time systems (Flume, Kafka, Storm)
Cloud-based PaaS solutions (Snowflake, AWS Redshift)
MS Azure (VM Bastion, Blobs, Containers, NoSQL, CosmosDB, HDInsight, CLI, PowerShell)
AWS (EC2, S3, RDS, EMR, Athena)
Red Hat Linux, UNIX Shell & DOS Scripting
C, C++, C#, Java
SQL: Oracle, DB2, Netezza, SQL Server, Teradata
Excel, VBA, VBScript, SAS
Data Warehousing & Business Intelligence
Data Integration: ETL, EAI & EII