Data Analytics Experts
Successful Projects
Client Retention Rate
Years’ Average Experience
A highly experienced data analyst, adept in gathering, processing, and analyzing datasets along with developing and maintaining databases.
A skilled data scientist, well-versed in big data tools and technologies and developing various predictive models and machine learning algorithms.
A data engineer, extensively experienced in developing and maintaining different data pipelines and ETL (Extract, Transform, Load) processes.
Kick-start your project straightaway with our popular No-Obligation, No-Payment 1-Week Free Trial. Continue with the same resource if satisfied.
Our free, quick, bespoke hiring process helps you save on not just expensive local recruitment fees but also lengthy waiting periods to hire just one resource.
Get your own 'office in India’, do away with pesky issues such as HR, Admin, Payroll, etc., and only pay your data analytics expert’s salary.
As an ISO27001:2013 certified and CMMI Level 3 assessed company, VE assures its clients of breach-proof data security and confidentiality at all times.
VE’s data analytics experts start by collecting data from various sources such as databases, files, and APIs. The gathered data is cleaned and preprocessed to ensure consistency and accuracy. Then, they integrate data from distinct sources into a unified dataset for assessment.
Next, with Exploratory Data Analysis (EDA), our data analytics specialists summarize data attributes through descriptive statistics. They visualize the data to recognize trends, patterns, and outliers. Also, correlation analysis and hypothesis testing help realize relationships between variables.
During this phase, your data analytics experts at VE improve model performance by creating new features and choosing the fittest ones. Employing techniques such as feature importance and correlation analysis, they optimize features and scale them for modeling.
Post feature selection, VE’s data analytics experts select appropriate ML algorithms and split data into testing and training sets. Models are optimized and trained through grid search and cross-validation. Model assessment is based on metrics such as precision, RMSE, and recall.
Finally, our data analytics team deploys your model into production environments. The data drift and performance are monitored over time, upgrading it with fresh data and improvements. Also, extensive documentation is performed to ensure reproducibility and transparency of the gained insights.
We trust our virtual employees with a lot of our confidential data & decisions.
VE has been very important to the success and growth of our company.
VE has been great for us – the price, the reliability, the scalability, and the accuracy.
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