Data Science
Summary
Performed advanced data extraction using Web scrabbing and data manipulation.
Created data visualization graphics, translating complex data sets into comprehensive visual representations.
Extraction of financial data (historical share price and quarterly revenue reporting) from various sources using
Python libraries and web scraping (Analyses of Stock performance - Tesla, Amazon, AMD and GameStop)
Collaborated with our data engineers to gather the right information from our various sources to implement
advanced statistical methodologies and design interventions to optimize business performance.
Participated in workshops to advance skills.
Created data mining architectures and models to identify trends in large data sets.
Conducted exploratory analysis including hypothesis testing, statistical inference, and statistical analysis
(predictive and/or prescriptive).
Developed and coded software programs, algorithms and automated processes to cleanse and evaluate large
datasets from multiple disparate sources using Python
Performed data administration duties for databases and learned SQL.
Assisted with creating and updating training materials for personnel use.
Took notes during meetings to better understand project initiatives and to distribute them to stakeholders.
Developed processes and tools that monitor, analyze, and continuously improve model performance and data
accuracy.
Translated cost and benefits of machine learning technology for non-technical audiences.
Brainstormed with data personnel to define data modelling standards for projects
Used SPSS and Python to manage and analyze large data sets.
Work closely with subject matter experts to deliver value by developing novel, practical, scientific, data-driven
solutions to meet business needs.
Leverage large datasets to conduct end-to-end supply chain and manufacturing analytics that include data
gathering and requirements specifications, processing, analytics, and presentations.
Expectations
I am looking for an equal opportunity organization where i can grow and also maximize my potential and adding value to the organization. I will like to work in an hybrid setting.
Employment Preferences
Relocation destinations:
- Ballinger, Texas, United States
Expected Base Salary
**,000 GBP
Expected Hourly Rate
**0 GBP/hr
Academic Degree
Experience
Total Professional Experience
Startup Experience
Big-Tech Companies
Enterprise Experience
Skills
- Python
- SQL
- R
- Excel
- Matplotlib
- Seaborn
- Machine Learning
- Apache PySpark
- Databricks
- Azure Data Factory
- ADF
- Airflow
- Deep Learning
- Classification
- Regression
- Object Detection
- Natural Language Processing
- Primavera P6 Planning Project Controls Strategic Planning Compensation Events Extension
- Time Analysis
- Quantum Claims Consultant Schedule Development Project Management Baseline Management Change
- Control Scope Managment MS Project Visio Excel NEC 3
- FIDIC Awareness KPI Critical Path
- Methodology Work Breakdown Structure
- WBS
- Trend Forecasts Quality Assurance Program
- Team
- Management Resource Management Subcontractor Management Understanding SORs
- Surveys Project
- Estimates
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