Angad Singh Email
Data Engineer @ Feme Ltd
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Angad Singh Location
- London, England, GB
Angad Singh Work
- Data Engineer @ (July 2026 - Present)
- Data Analyst @ (May 2024 - Present)
- Senior Data Analyst (Order to Cash) @ (August 2019 - December 2022)
- Process Developer @ (January 2018 - July 2019)
- Junior Analyst @ (January 2011 - March 2015)
Angad Singh Education
- Middlesex University
Master of Science - MS (Data Science)
2023-2024 - Kalinga University, Raipur
Bachelor of Science - BS
2015-2018
Angad Singh Skills
- Accounting
- Accounts Receivable (AR)
- Agile & Waterfall Methodologies
- Analytical Skills
- Artificial Intelligence (AI)
- Attention to Detail
- Big Data
- Big Data Analytics
- Business Analysis
- Business Intelligence (BI)
- C
- Cloud Computing
- Credit Analysis
- Customer Service
- Dashboards
- Data Analytics
- Data Quality
- Data Science
- Data Visualization
- Deep Learning
- Demographics
- Employee Training
- English
- Enterprise Resource Planning (ERP)
- Finance
- Financial Accounting
- Financial Analysis
- Financial Forecasting
- Financial Planning
- Financial Reporting
- Forecasting
- HTML
- Hadoop
- Key Performance Indicators
- Leadership
- Logical Approach
- Machine Learning
- Microsoft Excel
- Microsoft Power BI
- Microsoft Power Query
- Natural Language Processing (NLP)
- NetSuite
- Order Management
- Order to Cash
- Pivot Tables
- Predictive Modeling
- Problem Solving
- Python (Programming Language)
- Relational Databases
- Reporting & Analysis
- SAP Portal
- SAP Sales & Distribution
- SQL
- Sales
- Sales Management
- Salesforce.com
- Scrum
- Shortlisting
- Statistical Data Analysis
- Statistics
- Strategic Planning
- Tableau
- Training & Development
- Visual Analytics
- Workforce Management
- accountancy
- altrix
- C
Angad Singh Summary
- Angad Singh, based in London, England, GB, is currently a Data Engineer at Feme Ltd. Angad Singh brings experience from previous roles at Feme Ltd, Accenture, Genpact and PADMA INFOCOM PRIVATE LIMITED. Angad Singh holds a 2023 - 2024 Master of Science - MS in Data Science @ Middlesex University. With a robust skill set that includes Accounting, Accounts Receivable (AR), Agile & Waterfall Methodologies, Analytical Skills, Artificial Intelligence (AI) and more.
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