Candidate Id: CAN2363

Experience: 5 Years

Location: United Kingdom

Enterprise Resource Planning (ERP):

SAP R/3 ECC 6.0

Data Visualization and Business Intelligence:

Tableau, Power BI

Database Management System:

SQL Server

Data Storage Format:

Flat Files

Accounting Software:

Tally

Office Suite:

Ms-Office

With over 5 years of experience, I've evolved into a seasoned Data Analyst. In my current role, I consistently deliver valuable insights and data solutions. My expertise spans SAP R/3 ECC 6.0, Tableau, Power BI, SQL Server, the handling of flat files, Tally, and a range of Microsoft Office tools.

Actively contributing to data analysis, visualization, and reporting, I utilize these skills to provide actionable information for decision-making. My dedication to data-driven results, coupled with my extensive experience, positions me as a valuable asset in the realm of data analysis and business intelligence.

Candidate Id: CAN2361

Experience: 4 Years

Location: United Kingdom

Programming Languages:

VB.NET, PL/SQL, T-SQL, Excel (VBA)

Data Integration and Reporting Tools:

SSIS (SQL Server Integration Services), SSRS (SQL Server Reporting Services), SSAS (Tabular Model), BIDS (Business Intelligence Development Studio)

Cloud Platforms:

MS Azure

Database Management Systems:

Exasol, SQL Server 2005/2008/2008 R2/2012/2017/2019, MS-Access, PostgreSQL

Reporting and Business Intelligence Tools:

Business Objects, Power BI, Tableau, QlikView

Database Management Tools:

SSMS (SQL Server Management Studio), SQL Server Agent

Operating Systems:

Windows 98/NT/2000/2003/XP/Vista/7, Mac OS

Testing:

Unit Testing, Regression Testing, Performance Testing, UAT (User Acceptance Testing)

With over four years in the IT industry, I am a seasoned Data Analyst with a strong focus on the Health Care sector. My skills are honed in Python, PostgreSQL, Power BI, MS Excel, and various machine learning techniques, including Linear Regression, Logistic Regression, KNN, K-Means, Decision Tree, Random Forest, and Neural Network.

In addition to analytical techniques, my expertise extends to database management. I have hands-on experience with MS SQL Server 2018 and Microsoft Visual Studio 6.0. My passion lies in delivering data-driven insights and predictive models to enhance decision-making specifically in the Health Care industry.

Candidate Id: CAN2362

Experience: 3 Years

Location: United Kingdom

Data Management and Analysis:

Data Visualization, Microsoft SQL Server, Data Modeling, SSRS (SQL Server Reporting Services), ETL (Extract, Transform, Load), T-SQL (Transact-SQL), Data Analysis, Database Objects, Power Query, Data Warehousing, Data Cleaning, Data Integration

Business Intelligence and Visualization:

Power BI

Microsoft Office Tools:

Microsoft Excel, Microsoft Word, Microsoft PowerPoint

Advanced Analytics:

Data Mining

Data Migration:

Data Migration

With over 3 years of experience, I've established myself as a skilled Data Analyst, SQL/MS SQL Developer, and Power BI Developer. My professional journey has been marked by a strong focus on data analysis, database management, and business intelligence, resulting in profound expertise in these areas.

Proficient in essential skills like data visualization, Microsoft SQL Server, data modeling, SSRS, ETL (Extract, Transform, Load), T-SQL, data analysis, and database object management, I actively engage in Power BI, Linked Server configuration, Power Query, data warehousing, data cleaning, data integration, and data mining in my role.

My proficiency extends to using Microsoft Excel, Word, and PowerPoint to communicate insights effectively. Well-versed in business analysis and data migration, my dedication to delivering data-driven solutions and leveraging technology for informed decision-making makes me a valuable asset in the field of data analytics and business intelligence.

Candidate Id: CAN2364

Experience: 3 Years

Location: United Kingdom

Python Development and Libraries:

Python Development, Scikit-Learn, Pandas, NumPy, Statsmodels

Statistical and Predictive Modeling:

Statistical Modeling, Predictive Modeling, Machine Learning , Data Modeling, Clustering, Classification, Unsupervised Algorithms, Exploratory Data Analysis, Text Mining, CART (Classification and Regression Trees), Random Forest, ML Algorithms (Machine Learning Algorithms), ANOVA (Analysis of Variance), PCA (Principal Component Analysis), Linear/Logistic Regression, Ensemble Methods (Bagging & Boosting)

Data Visualization:

Data Visualization

Data Mining and Analysis:

Data Mining, Requirement Analysis

Database Management System:

MYSQL

With 3+ years of experience, I'm a results-driven data analyst specializing in Python for business intelligence, data visualization, analytics, and predictive modeling. I consistently provide actionable insights for informed decision-making, leveraging skills in Python development, statistical and machine learning modeling, data mining, and visualization.

My proficiency extends to Scikit-Learn, Pandas, NumPy, and Stats models, covering clustering, classification, unsupervised algorithms, exploratory data analysis, text mining, CART, random forest, and various machine learning techniques. I excel in MySQL, ANOVA, PCA, linear and logistic regression, as well as ensemble methods like bagging and boosting. With a comprehensive skill set, I am an invaluable asset in the field of data analysis.