

Data Sciences and Analytics Services
Our Data Sciences and Analytics Services help clients extract valuable insights and solve business challenges using Machine Learning. From small businesses to large enterprises, we drive value through tailored solutions. InnoSquares’ services are designed to support various stages of Machine Learning adoption.
Our core engagement types in this domain include:
ML Roadmap Design
We assist you on the road to embrace ML and AI in your business processes. We do collaborative teamwork to identify key improvement areas that can benefit from the use of advanced Data Sciences and Analytics Services within your company. We define the infrastructure and competencies needed to achieve the goal and create a game plan. The created roadmap incorporates industry best practices and inputs from your business. In our approach we are always tool-agnostic and first try to maximize the usage of existing IT infrastructure and analytical platforms. If your existing approach to analytics no longer gives competitive advantage we often suggest exploring one of the available ML-as-a-service cloud solutions.
ML Audit and Consulting
Our broad industry experience in delivering analytics to Fortune 500 companies gives us the confidence to evaluate and assess your current analytical ecosystem and processes. If your company struggles with adopting ML or business benefits from AI are not to par, we are here to help. By evaluating every step of the ML lifecycle in your organization, we will be able to pinpoint the challenges and prepare a resolution plan. We summarize our findings in a formal report, outlining recommendations for the organization and the following steps to be taken. Our findings often include cost-cutting guidelines and strategies for improving time to market team. We also define processes limiting the rework needed in the ongoing support of Machine Learning products.
Design and implementation of AI solutions
The core of our engineering services is delivering end-to-end AI tools that solve business-critical problems. We can help your organization to achieve a competitive advantage in the following areas:
Making predictions more accurate with AI
Automating repetitive tasks
Allocating marketing budgets more effectively
Ensuring business continuity with AI-powered tools
Understand patterns in your business data
Secure your corporate data and IP from exfiltration
And many more that we will be happy to discuss and explore
Cybersecurity and Fraud Protection
Systems monitoring billions of packets daily for early network attack detection and mitigation
Analysis and prediction of event sequences leading to customer churn
Natural Language Processing for fraud risk assessment
Machine Logs processing for data leakage monitoring and suspicious traffic patterns detection
Social Network Analysis for fraud rings identification and other organized fraud scenarios monitoring
Data Sciences and Analytics Services
TECHNOLOGY TOOL STACK
Out Data Sciences and Analytics Services includes massive technology tool stack including cloud technologies, open source technologies, visualisation tools like Tableau, Power BI and programming skills like Python, Java, and SQL.
Cloud Toolset
Analytical Databases: Big Query, Redshift, Synapse, Snowflake
ETL: Databricks, DataFlow, DataPrep
Scalable Compute Engines: GKE, AKS, EC2, DataProc
Process Orchestration: AirFlow / Composer, Bat
Platform Deployment & Scaling: Terraform, custom tools
Open Source
Support for all Hadoop distributions: Cloudera, Hortonworks, MapR
Hadoop tools: hdfs, hive, pig, spark, flink
No SQL Databases: Cassandra MongoDB, Hbase, Phoenix
Process Automation: oozie, Airflow
Visualization Tools
Power BI
Tableau
Data Studio
D3.js
Programming Skills
Python: numpy, pandas, matplotlib, scikit-learn, scipy, spark, pyspark & more.
Scala, Java
SQL, T-SQL, H-SQL, PL/SQL