Where Talent, Integrity, and User-centricity leads the way

Data Science Services

Revitalize your fundamental workflows through the power of technology and data

Data Science Solutions

Fueling business growth with insightful data integration

Recognizing the significance of a data-driven culture in your business, we specialize in assisting companies like yours in becoming fluent in data science and seamlessly integrating it into your everyday operations.

 

Our mission is to empower our clients by extracting invaluable business insights from their data, enabling them to gain a deeper understanding of their audience, predict demand, mitigate risks, control costs, and achieve numerous other benefits.

What services do we offer?

Serving the industry leaders

We analyze large volumes of data and visualize it in a meaningful and insightful manner, using techniques such as statistical analysis, data mining, and data visualization tools.

By implementing machine learning algorithms we can build predictive models, automate processes, and uncover patterns and insights in complex data sets.

We specialize in implementing cutting-edge tech for efficient data processing and analytics, allowing you to optimize your operations and unlock new opportunities.
We apply NLP techniques to analyze and understand human language in text or speech data enabling sentiment analysis, chatbots, information extraction, and text classification.
Designing and implementing robust data pipelines, data warehouses, and data infrastructure to ensure efficient and scalable data processing and storage for your company.
We deliver cutting-edge AI and DSS solutions that leverage advanced algorithms and data analytics, helping you to optimize processes and make informed choices.
To take your company to the next level

Introducing our lifecycle

Click on each capability to dig deeper

Start

Feature Engineering

TIU excels in providing comprehensive support for the feature engineering phase of the data science lifecycle. Our expertise spans a wide range of techniques, including feature transformation, binning, temporal feature engineering, text mining for natural language processing, image processing for extracting relevant features, and feature selection methods, ensuring that data is effectively transformed and optimized to unleash the true potential of predictive modeling and decision-making.

Model
Training

TIU offers robust assistance during the model training phase of the data science lifecycle. Our team applies state-of-the-art algorithms and techniques for model training, including ensemble methods, to improve predictive accuracy. We also specialize in parameter tuning and retraining strategies to fine-tune models and ensure optimal performance. Additionally, our model management solutions ensure efficient deployment, monitoring, and maintenance of trained models, enabling organizations to effectively leverage the power of data-driven insights.

Model
Evaluation

TIU provides comprehensive support for the model evaluation phase of the data science lifecycle. Our experts employ techniques like cross-validation to rigorously assess model performance, ensuring robustness and generalizability. Additionally, we assist in generating insightful model reports, enabling stakeholders to make informed decisions based on comprehensive evaluation metrics. Furthermore, our team specializes in conducting A/B testing to validate model effectiveness, comparing different approaches and identifying the most impactful strategies for improved outcomes.

Business
understanding

TIU collaborates closely with clients during the business understanding phase of the data science lifecycle. We strive to deeply understand our clients' business objectives, challenges, and key metrics to ensure alignment between data science efforts and organizational goals. By leveraging our domain expertise, we facilitate the translation of business requirements into data-driven solutions, enabling meaningful insights and actionable recommendations that drive tangible business value.

Modeling

TIU offers a range of modeling services to drive data-driven decision-making. From comprehensive feature engineering techniques, including transformation, binning, and text mining, to state-of-the-art model training using ensemble methods and parameter tuning, we ensure accurate predictive modeling and optimal performance. Our expertise in model evaluation, employing techniques like cross-validation and A/B testing, enables rigorous assessment of model performance, generating insightful reports and empowering stakeholders to make informed decisions based on comprehensive evaluation metrics.

Data
acquisition and understanding

TIU Consulting provides valuable assistance in the data acquisition and understanding phase of the data science lifecycle. We help clients determine the most appropriate data sources, establish efficient data pipelines, design suitable data storage environments, and conduct comprehensive data wrangling, enabling a thorough understanding of the data landscape and ensuring high-quality inputs for subsequent analysis and modeling.

Deployment

TIU Consulting specializes in seamlessly integrating data-driven solutions into clients' existing systems and infrastructure. We ensure a smooth transition by conducting thorough testing, managing implementation timelines, and providing comprehensive documentation and training, allowing clients to effectively leverage the deployed solutions to drive business outcomes.
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Data Source

In the data source phase of TIU's data science lifecycle, the team assesses various options for storing and retrieving data, considering factors such as the volume of website traffic, data accessibility, and security requirements. Evaluating on-premises databases, cloud databases, and file systems helps determine the most efficient and cost-effective approach to handle data ingestion and analysis.

Pipeline

We provide expertise in the pipeline portion of the data science lifecycle by designing robust data processing workflows that seamlessly handle both streaming and batch data. Our solutions empower clients to leverage real-time analysis for high-frequency data streams, while also facilitating efficient processing of low-frequency batch data, ensuring optimal insights and decision-making capabilities.

Environment

TIU Consulting offers valuable support in the environment phase of the data science lifecycle by assisting clients in choosing the most suitable data storage infrastructure, whether it be on-premises, cloud-based databases, or data lakes, based on their specific needs and resources. We also guide clients in effectively managing small, medium, and big data, ensuring efficient data processing and analysis, and helping them unlock the full potential of their data assets.

Wrangling, Exploration and Cleaning

We always succeed in providing comprehensive solutions for data wrangling, exploration, and cleaning in the data science lifecycle. TIU’s expertise lies in handling diverse data types, including structured and unstructured data, while ensuring rigorous validation and cleanup processes. With our proficiency in data visualization, our teams enable clients to gain valuable insights from their data, uncovering hidden patterns and trends that drive informed decision-making.

End

Customer acceptance

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Here, we develop scoring models to evaluate and assess data-driven solutions, analyze performance metrics to measure the effectiveness of these models, and implement reliable monitoring systems to continuously track and optimize the performance of the deployed solutions. This ensures that clients can make informed decisions based on accurate evaluations and maximize the value derived from their data assets.
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