Data Analytics Services
Leverage the expertise of LeewayHertz’s data analysts, proficient in data analytics and machine learning model training, to harness the power of data and improve business performance with data-driven decisions. With their deep knowledge of statistics, programming, data visualization, and machine learning, our data analysts empower businesses of all sizes to extract crucial insights from their data, refine their data strategies, and comprehend complex data.
Software Products Delivered
Total Years of Experience
Our Data Analytics Services
Our data analysis service helps businesses gain insights from their data through advanced tools and approaches, such as EDA. We clean and prepare the data, visualize it, analyze it using statistical methods and ML algorithms, and create customized reports.
Data Analytics Consulting
Whether your business requires consulting services for developing data strategies, conducting data analysis and reporting, building predictive models, or establishing data governance, we are well-equipped to provide you with the support your business needs.
Data Strategy Development
We assess your data environment, identify opportunities for data analytics, develop a roadmap, and implement and refine the strategy. Our service helps you gain valuable insights from your data and use them to make better decisions, and improve business operations, products, and services.
Our predictive data analytics service uses advanced statistical methods and ML algorithms like linear regression and random forests to identify patterns and relationships in your data and build predictive models that can forecast future trends and outcomes with a high degree of accuracy.
Our Data Analysts’ Areas of Expertise
With proficiency in multiple ML resources like Keras, PyTorch and Scikit-learn and numerous ML techniques, including reinforcement and transfer learning, our data analysts work closely with our AI developers to build highly efficient models for tasks like predictive maintenance and anomaly detection.
We have a thorough understanding of deep learning frameworks like TensorFlow, Caffe and Theano and have in-depth knowledge of multiple neural networks, be it CNNs or RNNs, using which we develop business-specific AI models with optimized performance.
To ensure that the data we collect and clean is accurate, complete, and properly formatted, our analysts use advanced developer resources like SQL, Python, and R, besides performing tasks like data transformation and feature extraction to prepare them for ML model training.
Supervised and Unsupervised Learning
With expertise in both supervised and unsupervised learning algorithms, including decision trees, SVMs, k-means, hierarchical clustering and t-SNE, our data analysts work on both labeled and unlabeled data required for AI model training and fine-tuning.
Our data analysts use hyperparameter tuning, cross-validation and grid search, among other techniques, to refine the model’s architecture and enhance its accuracy. They also assess the performance metrics of the model to identify the areas of improvement and fine-tune them.
LeewayHertz’s data analysts are skilled in feature engineering, which involves techniques such as principal component analysis (PCA), feature scaling, and one-hot encoding. They are also experienced in domain-specific features, such as image feature extraction for computer vision.
Tech Stack Our Data Scientists Utilize
Integration and Deployment Tools
Data preprocessing tools
Data visualization tools
Our Artificial Intelligence Portfolio
Big Brands Trust Us
Our Engagement Models
Dedicated Development Team
Our blockchain developers are hands-on the cognitive technologies to deliver high-quality services and solutions to clients.
Our team extension model is intended to help clients who want to extend their team with the right expertise required for their project.
Our project-based model and software development specialists are there for customer collaboration and specific client project engagement.
Get Started Today
1. Contact Us
Fill out the contact form protected by NDA, book a calendar and schedule a Zoom Meeting with our experts.
2. Get a Consultation
Get on a call with our team to know the feasibility of your project idea.
3. Get a Cost Estimate
Based on the project requirements, we share a project proposal with budget and timeline estimates.
4. Project Kickoff
Once the project is signed, we bring together a team from a range of disciplines to kick start your project.
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How do you evaluate the performance of an AI model?
There are several ways to evaluate the performance of an AI model, such as measuring accuracy, precision, recall, F1 score, and AUC-ROC. Our data analysts use a combination of these metrics and other techniques to evaluate the model’s performance.
Can AI models be used for predictive analytics?
Yes, AI models are used for predictive analytics, which uses historical data to forecast future events or outcomes. Our data analysts have expertise in developing and training predictive models using various techniques such as regression, decision trees and neural networks.
Do LeewayHertz's data analysts have expertise in using different data types for developing AI models?
AI models can be trained on various data types, such as numerical, categorical, image, text, and more. However, it’s important to ensure the data is high quality and relevant to the problem you are trying to solve.
Data analysts at LeewayHertz have expertise working with various data types, whether text, image or numerical. They also have experience working with structured, unstructured, semi-structured and streaming data for AI models. Our team is equipped to handle the complexities of different data formats and sources, enabling us to provide customized solutions to meet the unique needs of our clients.
How long does developing and deploying an AI model usually take?
The time required for developing and deploying an AI model depends on the project’s complexity, the amount of data available, and the model’s specific requirements. It can range from a few weeks to several months.
Can you help us with data visualization and dashboard creation for our data analysis needs?
Data visualization and dashboard creation are part of our data analytics services. Our team has expertise in various tools and technologies for data visualization and can provide customized solutions based on the client’s specific needs.
Data annotation is adding labels or tags to a training dataset to provide context and meaning to the data.
Parameter-efficient Fine-tuning (PEFT) is a technique used in Natural Language Processing (NLP) to improve the performance of pre-trained language models on specific downstream tasks.
Language models are the backbone of natural language processing (NLP) and have changed how we interact with language and technology.