Ketul P.
Data Scientist II | Harnessing Data for Stock Market Insights | Applying Analytics for Informed Investments
- Role
- Data Scientist Ii at O\'neil Global Advisors
- Location
- San Francisco, CA, US
- LinkedIn followers
- 500 followers
About Ketul P.
Data + Science(Art)+ Tools = ValuesExperienced Data Scientist with a passion for extracting actionable insights from complex datasets. Proficient in machine learning, data analysis, and statistical modeling. Adept at translating data into strategic solutions to drive business growth and informed decision-making. Eager to collaborate on innovative projects in the field of data scienceSkills: R, Python, SQL, Tableau, C#, C++, ABAP, HTML, Java(Basic), Flask, and Django FrameworkGenerative AI | Large Language Model | Data Science | Data Analytics | Machine Learning | Deep Learning | Data Visualisation | Statistics | Business Analytics | Business System Analyst | Project Management | Enterprise Data Management | Finance and Accounting Management | SAP ERP HCM | SAP Payroll Certified | Tools: Amazon Web Service, TensorFlow, Microsoft Office Suite- Excel, Word, PowerPoint: Advanced; MS Access: Basic, MS AzureDatabase: AWS Redshift, Snowflake, MS SQL, SAP HANA Visit my GitHub Portfolio: https://github.com/ketul14
Experience
Data Scientist Ii
Apr 2025 — Present · San Francisco, CA, US
Education
San Diego State University
Management Information System, Management Information Systems, General
2017 — 2019
Gujarat University
Bachelor of Engineering (BE), Electronics and Communications Engineering
Jawahar Navodaya Vidhyalaya
Mathematics And Biology
2000 — 2007
Skills
- Sap HR
- Ess
- Mss
- Time Management
- Payroll
- Performance Management
- Matlab
- C
- C++
- Vhdl
- Labview
- Verilog
- Orcad
- Electronics
- Pspice
- Microcontrollers
- Microsoft Office
- Programming
- Microsoft Excel
- Teamwork
- Powerpoint
- Sap Erp
- Sap
- Erp
- Team Management
- Consulting
- Requirements Analysis
- Business Analysis
- Sap Products
- Sap Implementation
- Java
- Machine Learning
- Deep Learning
- Sql
- Data Analytics
- Statistical Data Analysis
- Blockchain
- Enterprise Resource Planning (Erp)
- Data Science
- Business Analytics
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