DATA SCIENCE & MACHINE LEARNING

We guide clients through all aspects of the journey by integrating business challenges into machine-learning problem statements and measuring the business impact.

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Experience the power of data modeling

Our leveraged team of data scientists provides predictive insights through advanced data models. In Data science we have expertise in data analytics, data mining, machine learning, and many other disciplines. Furthermore, in this field, we explore how to deal with data, including how to create research questions, collect data,  pre-process it for analysis, store it, analyze it, and display the research outcomes in reports and visualizations.

Benefits of Predictive Analytics and Why It's Important?

DATA SCIENCE & MACHINE LEARNING

Predictive analytics can help businesses make more informed decisions by providing insight into future trends and behaviors. It helps organizations anticipate customer needs and desires, optimize operations, promote products, identify new opportunities for growth, spot potential risks, and make predictions about a wide range of business outcomes. With predictive analytics, organizations can improve their competitive advantage by gaining valuable insights that drive smart decisions.

DATA SCIENCE & MACHINE LEARNING
ML

Data Modeling for Automated Machine Learning

ML

Data modeling is an important part of machine learning automation as it helps to optimize accuracy and performance. Through predictive data modeling, organizations can create comprehensive datasets that include all the information relevant to their current business goals. By leveraging this data, machine learning algorithms can then be used to identify complex relationships and patterns in this dataset that may not have been discernable before. Ultimately, data modeling allows organizations to create more accurate models and make better and faster-automated decisions through the use of machine learning technologies.

In Machine learning we practice extracting data, studying it, and forecasting future trends for any topic using algorithms. ML is a data analysis technique that automates the creation of analytical models. It is a subfield of artificial intelligence that is predicated on the premise that systems can learn from data, spot patterns, and make decisions with little or no human interference

How to Apply Data Science and Machine Learning to Real Business Problems

Applying data science and machine learning techniques to real business problems can have immense potential for companies. By harnessing the power of big data, businesses can unlock insights that help them make better decisions, drive efficiencies in their operations and find innovative solutions to pressing challenges. This guide explores how data science and machine learning can help solve key business issues, as well as how organizations can successfully implement these strategies.

Akratech is expert in Data science: Know why?

We have helped customers translate observations into shared knowledge and contribute to strategy. We show how to solve core business problems operating with algorithmic complexity.

We use raw data to build a predictive algorithm and use heuristics. Our quantitative technique in finding solutions to many business problems involves building analytic models.

We carry rich experience in Predictive Modeling, Structural Equation Modeling, Survey designing, Data mining, Regression Analysis (Linear to non-linear), Statistical Analysis Interpretations, Hypothesis Testing or Estimation

Data Science & ML Services -

checkbox Data Science & ML: Our machine learning abilities encompass supervised, unsupervised, and deep learning. We comprehend the challenges that arise during implementation. We will assist you in selecting the best algorithms and accurate models for your situation. In circumstances when none of the available libraries are adequate, our multidisciplinary team of computer science professionals and data scientists may assist in the creation and implementation of novel methods.

checkbox ML Operationalization: It is not easy to integrate your models into real-world systems. Most ML prototypes fall short in this area. Our ML Ops services ensure that ML models are effectively implemented in real-world systems and that they are monitored over time.

checkbox Data Science – Ideation to Implementation: We guide clients through all aspects of the journey by integrating business challenges into machine learning problem statements and measuring the business impact.

checkbox AI and ML-Powered Product Development: We are a suitable technology partner for your AI and ML-powered product development needs due to our product development experience and data analytics knowledge. We assist in developing ML and AI tools from the ground up or implementing off-the-shelf solutions to minimize the entire time-to-market for your products.

checkbox AI solutions for your industry: Adopt cutting-edge technology, methodologies, and algorithms to compete with industry titans. Collaborate with specialists who have discovered AI power in travel, transportation, healthcare, retail, eCommerce, and finance.

Making Enterprises Stand Out With Data Science Software and Mobile Applications that Matter.

Discover how working with a team of world-class experts in Data Science fields to prime your business for explosive growth.

Have A Data Science Project in Mind?




    Benefits of our data science & ML Solutions

    Data science and machine learning services, such as predictive analytics, can offer benefits to businesses in a number of different areas. These services can help speed up processes, improve customer experience, increase revenue through advanced insights and understanding of customer behavior, and build better-personalized marketing campaigns. Additionally, they can help with the optimization and automation of operations, reducing costs and boosting efficiency.

    Data Science & ML Benefits

    checkbox Make the most of your data investments to solve crucial business problems.

    checkbox Improve the accountability, Auditability, and trustworthiness of your AI and ML applications.

    checkbox Make use of predictive analytics to automate time-consuming tasks.

    checkbox Accelerate your path to greater AI and ML maturity.

    TECHNOLOGY STACK

    Our Data Science & ML Experience

    We have created multiple platforms for multiple companies using Data Science and ML with the highest rate of success. Let’s take a look at one of Akra Techs’ Applications that use Data Science and ML- 

    Data science and ML Experience

    Forecast Application

    Forecast – “Built to simulate and forecast power markets", as the slogan tells this application holds information and insights about power generation and balancing authorities’ operations. The application aims to provide more accurate forecasting of generation, load, and trade of power requirements."

    Features

    checkbox Daily forecasts

    checkbox Time series forecasting

    checkbox Load, Generation, and Trade real-time forecasting data

    checkbox Predict future requirements

    checkbox Reduce inventory management effort

    checkbox Analytical approach

    checkbox Business decisions

    checkbox Customizable

    Pricing prediction

    We have built a pricing prediction tool with the help of python and machine learning which uses the ML model and classification techniques to predict price. This helps in predicting a price of a new product depending on the information. A user should enter the specific inputs to get the predicted price from the ML tool.

    We built this Pricing tool using Python and ML models. 

    Features

    checkbox Get quotation for each client

    checkbox Predict price of a new product

    checkbox Works with user inputs

    checkbox Customizable

    We have been involved in building route optimization tool using proprietary ML Algorithms which uses Quantum computing technology to determine the most cost-efficient route when delivering. The algorithm takes customer orders and the required time window, available resources, road traffic, and operational constraints, to determine the best optimal routes and stopovers. This would help customers receive their orders faster, through deliveries happening using the most optimal routes.