Hello, I’m Randy Geszvain Randyyyy.
Powered by Data Flut
Cloud Architect and ML/AI Practitioner at FIS (Fortune 500)
Data Engineering | Machine Learning and AI | Full-Stack Developer
Big Data
Architecture Design
Machine Learning and AI
Development
Database Design
Frontend: HTML, CSS, JavaScript, Python(Flask/Django)
Backend: Big data pipeline and machine learning
I am a highly motivated and skilled Big Data Full Stack Engineer. I have a unique combination of technical expertise and hands-on experience that allows me to develop end-to-end big data solutions with ease. My expertise spans the full stack of big data technologies, including front-end development, back-end development, and data engineering.
I used machine learning and statistical modeling techniques to develop algorithms for business trend analysis and personal projects. I also performed various analysis projects including time series, sentiment analysis, and statistical analysis using big data.
More specifically, I am proficient in various programming languages such as Java, Python, and JavaScript and have extensive experience working with big data tools such as Hadoop, Spark, and NoSQL databases. I have a deep understanding of the entire data pipeline, from data ingestion and storage to data processing and analysis.
Whether it's developing scalable data architectures, optimizing data processing workflows, or creating intuitive user interfaces, I am able to deliver effective big data solutions that meet the needs of my clients. I am excited to bring my skills and passion for big data and full-stack development to new and challenging projects
Finally, I have both a positive personality and an innate pursuit of excellence that has served my employers well.
Experience
And if it’s not listed here, I learn incredibly quickly
FIS (Fortune 500)
Senior Cloud Architect and AI/ML Engineer
- Building big data pipeline and ecosystem and incorporating software engineering for a scalable data platform
- Utilized Java/Python programming in connecting AWS microservices; Scala programming in Databricks/Spark processing; Java Script in Snowflake stored procedure; Terraform in AWS microservices deployment
- Technologies including AWS, Databricks(Apache Spark), Scalable Database(Snowflake), Docker/Kubernetes/Helm Charts, Airflow tasks orchestrator
WageWorks -> Health Equity
Data Integration Engineer
- Achieved 99% on-time completion rate while managing 250 implementation and migration projects annually. The projects utilized ETL, SQL, mapping and programming skills to achieve the clients and the company’s expectation
- Provided servant leadership and support while standardizing processes and cultivating continuous improvement focus on several implementations and migration projects including FSA, HSA, HRA, and commuter products
- Used Oracle databases for transaction data to conduct data mining and analysis to identify the area of business importance; assisted implementation and operation managers on projects with analytical skills
Corey Oil
Finance/Accounting System Management
- Month-end audit/troubleshooting
- Financial matrix/Ratio analysis/Tax system analysis
- Access and SQL report customization
- Tableau data visualizations and reporting
- ETL scripting and processing management
- Truck delivery forecast and prediction model
Education
Learning never stops!
University of Wisconsin - Milwaukee
P.h.D - Information Studies
University of Colorado Boulder
CS - Big Data, Machine Learning, and AI
Syracuse University
MS - Applied Data Science
Cardinal Stritch University
Master of Business Administration (M.B.A.)
National Taiwan University
Business Administration
Skills
And if it’s not listed here, I learn incredibly quickly
- Development
- Java
- JavaScript
- Python
- Scala
- Program R
- AWS/Terraform
- SQL
- ETL
- HTML/CSS
- Deployment
- Databases
- Snowflake
- Oracle
- Microsoft Access
- MongoDB
- Machine Learning and AI
- Spark
- TensorFlow
- Numpy
- Scipy
- Scikit-learn
- Keras
- PyTorch
- Pandas
- Matplotlib/Seaborn
- Software
- IntelliJ IDEA
- IntelliJ DataGrip
- IntelliJ PyCharm
- IntelliJ WebStorm
- Docker
- Atom
- Visual Studio Code
- Postman
- Toad
Projects
Proven Success in Creation and Development
TradingBot
A trading robot built using machine learning prediction algorithm to buy and sell automatically.
Request DemoETL automation
ETL automation built with Airflow and SQL connecting Microsoft Access, PostgreSQL, Snowflake, and Oracle.
Request DemoKedro Data Science Pipeline
A pipeline to prep, clean, run machine learning using Kedro platform
Request DemoSupply Chain Research Paper
A company has faced a challenge in improving its supply chain management and related performances...
