Shakoo Makoo

Machine Learning Services

Our Shakoo & Makoo consulting services make your data science and machine learning project a success. These include: auditing a data context set and data delivery process, a workshop on your goals & challenges, consulting on ML software architecture & tools, delivery, and training sessions.

Machine Learning and AI Development Activity Stack

Audit

Companies want to know how well they are doing. Some want to compare themselves to the competition, while others seek opportunities to enhance their internal software delivery processes.

We assess your team's technical challenges and objectives to determine if the ML solution should be applied. Outline a technical roadmap for achieving the desired state.

We research your problem and explore data sets from different sources to design the ML model blueprint and build a Proof of Concept to validate the ML solutions.

We utilise datasets from different sources to test the ML model. Fine-tune the ML algorithms based on results. Roll out the ML model in production at full scale.

Types of Audit

  • Software Process
  • Software Architecture
  • Big Data Architecture
  • DevOps Readiness

Over the last nine years, we have conducted a dozen audits that have helped our clients improve, enhancing their work processes and outperforming the competition.

How it Works

(1) Goal-setting interview with the management team and key stakeholders.

(2) Data-collection workshop where we assess and identify areas of inefficiency and carve out opportunities for improvement.

(3) Workshop with the management and stakeholders where we provide you with the results of the observation, give you a list of things to do to achieve quick wins and also indicate areas of improvement

Consulting and Workshops

We deliver technical workshops for busy technical leaders and their teams that face challenges with staying at the forefront of new technology and approaches to software delivery.

Workshops are aimed at helping you get answers to very specific questions, e.g.:

  • Understand what containers might mean for your business
  • Assess the cost and time frame of transition from bare-metal servers to public cloud
  • Examine scalability and applicability of your software architecture for Big Data

The workshops are hands-on, allowing participants to delve into the realities of company-specific challenges. Not just talking, but also getting things done, such as crafting software architecture and improving the setup of the ML software stack, etc.

Data Context, Algorithms and ML Models Development

Our ML services will help you to discover and author algorithms and model packages that fit your business data, not the other way around, so you can quickly deploy them with confidence. You can choose from free, trial, and paid algorithms and model packages, and assess their quality by reviewing product details such as descriptions, usage instructions, reviews, sample Jupyter notebooks, pricing, and support information. Algorithms and model packages that we develop for you can be deployed directly in the enterprise environment, not all of which are suitable for all. This experience is powered by Shakoo and Makoo's services catalogue and APIs, providing all the benefits in a frictionless deployment.




Delivery

Whether you need to improve your work processes, enhance the software architecture of your product, or create something custom, we have completed numerous assignments in software engineering, making us a top-of-the-line provider.

We employ skilled software architects and engineering talents that can solve these particular pain points and then move on.

  • DevOps
  • R&D and Engineering
  • Big Data & Analytics
  • ML

Tools Consulting and Coaching

Most Enterprises use only a fraction of the automation opportunities ingrained in the software tools they employ. Most of the time is spent on inefficient and manual work.

This hurts productivity and demoralizes employees. The problem becomes even worse if you choose the wrong software toolset, which dictates your process and sets the limits on your productivity.

We can help

  • assess whether you are using the right tools to achieve what you want
  • to set things up properly
  • educate your employees and management on how to do it
  • increase efficient coding production with the lowest bug count

Education and Training

Whether it’s your delivery team, your middle management or key decision makes we can provide well-structured education to raise the awareness level about what’s on the spotlight in the software industry.

Topics we can cover are

  • Agile Software Development & Lean Software Engineering
  • Technical Documentation
  • Effective Software Engineering
  • Full-Stack Development
  • Scaled Agile Framework Architecture
  • Data Architecture
  • ML Development
  • Enterprise Application Integration
  • Data Migration

We can do it in several ways that fit your needs best




Shakoo Service For Big Data Analytics

Main Advantages:

  • reduced costs
  • improved decision-making process
  • easier solutions & services launch

Service Components

Enterprise Data and Business Intelligence

Leverage Enterprise Data

Many companies have already invested heavily in their data warehouse and business intelligence solutions. However, it is not about the quantity of data, but rather the quality. Roadblocks and bottlenecks, such as continuous performance issues with reports and queries, limited trust in the obtained data, poor data comprehension, and an absence of a clear strategy and roadmap, can waste your resources.

Deliverables

  • Review: Reviewed business goals and drivers for the DWH & BI solution.
  • Documentation: Data sources documented in compliance with privacy and regulatory requirements.
  • Evaluation of the current state of DWH implementation.
  • Road Map: Strategic roadmap for developing DWH & BI solution, including possible migration to the Cloud or Big Data platform if necessary.
  • Delivery: DWH & BI platform, which is aligned with the Business goals, benchmarks and architecture drivers.

Full Cycle Services

  • Audit: Our team evaluate your current DWH & BI platform according to your business goals and architecture drivers, including ingestion process, data sources, tools, etc.
  • Consulting: Based on the audit results, we provide you with a roadmap for developing and improving your DWH & BI solution.
  • Delivery: We’ll deliver the solution or make changes according to a roadmap plan.

Big Data Platform and Next Generation BI

Don’t Become Inundated By Data

As the digital age progresses, the volume of Big Data generated and collected continues to grow and accelerate exponentially. Analysing this rapidly growing data is problematic with traditional analytical tools. To bridge the gap between the data being generated and the data that can be examined, an innovative approach is required.

Deliverables

  • Reviewed business goals and drivers for the modern Big Data platform.
  • Data sources documented according to 4V requirements (volume, variety, velocity, veracity).
  • Tools evaluation, including vertical and horizontal prototypes.
  • Strategic roadmap for developing your Big Data platform.
  • Big Data platform that corresponds to the business goals and architecture drivers.

Full Cycle Services

  • Evaluation: We’ll evaluate your current Big Data solution according to your business goals and architecture drivers, including ingestion process, data sources, tools, etc.
  • Consulting: Based on the audit results, we’ll provide you with a roadmap for developing and improving your current Big Data solution.
  • Delivery: We’ll deliver a solution or make performance and architecture improvements according to a roadmap.

Advanced Analytics and Data Science

Unlock New Intelligence With AI

Most companies don’t use AI, and advanced analytics techniques due to its complexity, lack of IT talent and adoption challenges, as well as an understanding of the core value advanced analytics brings to your business. This can result in losing your competitive advantage.

Deliverables

  • Reviewed business goals and drivers for AI and Advanced Analytics.
  • List of challenges and problems which can be addressed by AI.
  • Tools evaluation, including vertical and horizontal prototypes.
  • Strategic roadmap for developing your AI solution.
  • AI solution that corresponds to business goals and architecture drivers.

Full Cycle Services

  • Evaluation: We’ll evaluate your current Big Data solution and define areas for implementing AI & Advanced Analytics.
  • Consulting: Based on the audit results, we provide you with a roadmap for implementing an AI & Advanced Analytics solution.
  • Delivery: We’ll deliver a solution or make performance improvements according to a roadmap.

Benefits

  • Optimized data storage.
  • Evaluated technology stack.
  • Defined DWH roadmap & strategy.
  • Reduced queries and reporting execution time.
  • Automated data ingestion process.
  • Flexible DWH solution ready to scale.

Typical Project Task Summary

  • Interview your team to clarify high-level business goals and drivers.
  • Review sources of the data and data ingestion process.
  • Identify performance, security and other kinds of problems.
  • Evaluate architecture and technology mapping.
  • Evaluate business intelligence and reporting requirements.
  • Define roadmap with milestones, timeframe and budget.
  • Fix issues, optimise performance and architecture.
  • Conduct tools replacement and migration to the AWS Cloud if necessary.
  • Transfer solutions to the engineering and support teams.

Enterprise Data Operation Scope

Data Sources & Formats

  • Azure Blob Storage.
  • Azure SQL DB.
  • Azure SQL DW.
  • Azure Table.
  • Local SQL Server.
  • Desktop Direct Upload.
  • Hadoop Hive Query.
  • Manual Data Entry.
  • OData Feed Service.
  • Web URL (HTTP).
  • XML File.
  • ARFF.
  • CSV.
  • TSV.
  • SVMLight.
  • Excel.
  • ZIP.

Data Preparation & Processing

  • Clean Missing Data.
  • Clip Outliers.
  • Edit Metadata.
  • Convolution Function Deduction.
  • Feature and Label Definition.
  • Filter.
  • Learning with Counts.
  • Data Normalization.
  • Partition and Sample.
  • Principal Component Analysis.
  • Data Quantization.
  • SQLite Transformation.
  • Synthetic Minority Oversampling Technique.

Data Visualization

  • Scatterplots.
  • Bar Charts.
  • Box plots.
  • Histogram.
  • R and Python Plotting Libraries.
  • REPL with Jupyter Notebook.
  • ROC, Precision/Recall, Lift.
  • Confusion Matrix.
  • Decision Tree.

Makoo Service For Machine Learning Development

With the power of machine learning and artificial intelligence, we build solutions that empower data analysis and help businesses overcome their data challenges.

Machine learning consulting empowers your data analysis with analytical algorithms. Learning from data enables artificial intelligence to make data-driven predictions without human intervention.

Makoo Service helps solve complex data challenges

Natural Language Processing

Enhance translation, speech recognition, relationship extraction, sentiment analysis, and topic segmentation.

Customer Analytics

Know your customers and their next move, create personalised experiences to drive loyalty and greater profits.

Image Recognition

Process an unlimited number of images to detect specific objects and classify images by topic groups or by features.

Fraud Detection

Secure your enterprise through ML fraud detection capability; prevent and manage fraud efficiently.

Get an edge over your competition by utilising the power of more accurate predictions and business insights you get from data.

Secure your niche by building and releasing cutting-edge applications and products faster.

Gain insights into customer behaviour to customise your products, improve user experience, and increase customer satisfaction.

Reduce operational costs by improving the performance of your team; improve your product’s performance using ML.

Benefits

  • More Accurate Predictions & Insights: Get an edge over your competition by utilising the power of more accurate predictions and business insights you get from data.
  • Faster Time-to-Market for Next-Gen Products: Secure your niche by building and releasing cutting-edge applications and products faster.
  • Better Understanding of Customer Behaviour: Gain insights into customer behaviour to customise your products, improve user experience, and increase customer satisfaction.
  • Improved Efficiency & Cost Reduction: Reduce operational costs by improving the performance of your team; improve your product’s performance using ML.

Typical Project Task Summary

  • Audit & Strategy: Assess your technical challenges and objectives to determine if the ML solution should be applied. Outline a technical roadmap for achieving the desired state.
  • Research & Development: Research your problem and explore data sets from different sources to design the ML model blueprint and build a Proof of Concept to validate the solution.
  • Cloud Services: Assess cloud architecture and choose the right combination of AWS products and tools to integrate them into both infrastructure and the ML solution seamlessly.
  • Deploy & Scale: Utilise datasets from different sources to test the ML model. Fine-tune the ML algorithms based on results. Roll out the ML model in production at full scale.

Models & Algorithms Scope

Anomaly Detection

  • One-class Support Vector Machine.
  • Principal Component Analysis-based Anomaly Detection.
  • Time Series Anomaly Detection.

Classification

  • Averaged Perceptron.
  • Bayes Point Machine.
  • Boosted Decision Tree.
  • Decision Forest.
  • Decision Jungle.
  • Logistic Regression.
  • Neural Network.
  • Support Vector Machine.

Classification

  • Decision Forest.
  • Decision Jungle.
  • Logistic Regression.
  • Neural Network.
  • One-vs-all.

Regression

  • Bayesian Linear Regression.
  • Boosted Decision Tree.
  • Decision Forest.
  • Fast Forest Quantile Regression.
  • Linear Regression.
  • Neural Network Regression.
  • Ordinal Regression.
  • Poisson Regression.

Statistical Functions

  • Descriptive Statistics.
  • Hypothesis Testing T-Test.
  • Linear Correlation.
  • Probability Function Evaluation.

Recommendation

  • Matchbox Recommender.

Clustering

  • K-means Clustering.

Computer Vision

  • OpenCV Library.

Text Analytics

  • Feature Hashing.
  • Named Entity Recognition.
  • Vowpal Wabbit.


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