Data science leader with expertise in data analytics, machine learning, and artificial intelligence.
Proven track record in designing and delivering complex technology solutions, with in-depth knowledge of technology architectures.
Exceptional communication skills to interface with stakeholders and gathering business requirements.
Development and support on mainframe for a food processing giant (JM Smucker’s)
Supervised Learning: Linear regression, Logistic regression, Linear discriminant analysis, Decision trees, Naive Bayes, K-Nearest Neighbors, Learning vector quantization, Support vector machines
Ensemble Methods: Bagging and random forest, Gradient boosting, AdaBoost, XGBoost, CatBoost, LightGBM
Unsupervised Learning: Clustering, Dimensionality reduction (Principal Component Analysis (PCA), t-SNE), Autoencoders
Deep Learning: Deep neural networks
Computer Vision: ResNet, EfficientNet, VIT, Yolo, Bootstrap Your Own Latent (BYOL), Instance Discrimination (ID)
Time series: SARIMA, Holt winters, Temporal Fusion Transformer (TFT), AutoTS, Prophet, NeuralProphet, Greykite, ensembles
Proof of Concepts: Plotly Dash, Panel, Streamlit
Algorithm Tuning, Time Series, AutoML, responsible AI, real-time analytics
Programming Languages:
Python, VBA, R, Perl, VBScript, PL1, Cobol, Powershell, DOS batch
Development Environments: Eclipse, Jupyter, Visual Studio, Visual Studio Code
Libraries: Matplotlib, SAS, NumPy, SciPy, Pandas, TensorFlow, Pytorch
Office Tools: MS Word, Excel, PowerPoint, Visio
Markup Languages: XML
DevOps: CI/CD, Jenkins, Docker, Kubernetes, Travis CI, Amazon Elastic Container Service (ECS), Google Kubernetes Engine (GKE)
Testing: Selenium, pytest
AutoML Libraries: pycaret, AutoML, AutoTS, Darts, Kats, Prophet, NeuralProphet, Graykite
Ontology Languages: OWL
Text Editors: Notepad, Textpad, Visual Studio Code
Version Control: Git, Github, Gitlab
Databases: SQL, NoSQL
Project Management
Methodologies: Agile, Scrum, Waterfall methodology
Tools: JIRA, Visio, MS Project
Supply Chain Relationships
Industry Classifications: RBICS, ISIC, custom ontology
Workflow Orchestration: JCL, Cron, Apache Airflow
Operating Systems: Mainframe DOS/VSE, Mainframe, MVS, Linux, Windows, macOS
Performance Monitoring and Alerting: Prometheus, Grafana, Nagios, Zabbix, ELK stack
Data Visualization Toolsets: Tableau, Spotfire, Qlik, PowerBI, D3js, ggplot2
Frameworks: Hadoop (HDFS, Yarn, MapReduce), Spark, Flink
Data Processing: Hive, Pig
Streaming: Kafka, Storm
Software:
ArcGIS, QGIS
Servers: GIS Server, Geo-event Server, Geo-Analytics server, Image server
Structured Data: RDBMS (MySQL, Postgres), Data warehouses
Unstructured Data: NoSQL (Cassandra, MongoDB, Redis, CosmoDB)
Cloud Storage: Microsoft Azure (blob storage, Data Lake), Amazon S3 bucket
File Storage: Local or network file shares
File Formats: Parquet, ORC, Delimited files (such as csv, tsv, and txt)
Ingestion: Data ingestion and pipeline
ETL: Informatica, DataStage, Ab Initio, ETL process
Data Modelling: Database design (SQL), Normal forms, Table design and indexing
Data Wrangling: Python and R
Data Governance
Data Lake Strategy
Metadata and Data Lineage
Data Compression and Archival
Data Framework and Logical Data Model
Open Data and Content Pipeline
Knowledge Graphs
Ingestion Aggregation and Transformation
Security: Data Encryption in Motion & at Rest
Processing: Batch and stream Processing
Load Balancing and Scripting
Standard Analysis: Standard Geospatial & Demographic Analysis, Population & People Analysis, On Demand Spending Analysis
Segmentation: Tapestry & Population Segmentation
Distributed virtual machine architecture
Storage Pool
Distributed file systems (DFS)
Distributed databases
Purchasing Power data
Human Mobility Data
Worldwide purchasing power for potential investors to explore export markets
Market Research data
Consumer behavior data
Market segmentation data
Regulations: Sarbanes Oxley, HIPAA, FFIEC, GDPR
Protocols: OAuth, SFTP, SSH, FTP-PGP
Stakeholder Management: Exceptional communication skills to interface with stakeholders, conducting interviews and gathering business requirements
Active listening skills
Presentation skills
Problem Solving: Expert level analytical skills for problem solving
Statistical analysis skills
Critical thinking skills
Business report writing: Demonstrated evidence of business report writing and technical documentation
Technical writing skills
Documentation management skills