Who we are
Your extended & trusted business delivery arm
Offshore support for the Swedish market in data science and analytics services with Locus IT has several advantages, including cost-effectiveness, access to specialized expertise, and the ability to scale quickly.
Hire Remote Engineer
Easier & Quicker from our large resource pool
Offshore Development
Dedicated ODC & easy to scale up
Application Support
Optimum Functioning
Professional Consulting
Consultants with 20+ yrs of domain experience
our technology specializations
Different aspects of data analysis, interpretation, and applications that we are specialised on
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1
Data Engineering
Building and maintaining the infrastructure needed for data generation, storage, and processing.
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2
Data Analytics
Interpreting complex data sets to identify patterns, trends, and insights
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3
Big Data
Managing and analyzing large and complex data sets that traditional data processing software cannot handle
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4
Artificial Intelligence
Developing systems that can perform tasks that would normally require human intelligence.
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5
Machine/Deep Learning
Developing algorithms and models that allow computers to learn from and make decisions based on data.
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6
Natural Language Processing
Analyzing and interpreting human language to data that systems understands for analytics
we make the data work for you!
Applying data science principles & techniques to solve business problems & improve decision-making.
- Focus: Using historical data to predict future outcomes.
- Key Techniques: Time series analysis, regression models, machine learning.
- Tools: Python, R, SAS, RapidMiner
- Focus: Studying social structures through networks and graph theory.
- Key Techniques: Network visualization, centrality measures, community detection.
- Tools: Gephi, NetworkX, Pajek, UCINET.
- Focus: Applying statistical methods to analyze data and infer patterns and trends.
- Key Techniques: Hypothesis testing, regression analysis, Bayesian analysis.
- Tools: R, SAS, SPSS, Stata.
- Focus: Ensuring ethical practices & protecting data privacy in data science projects.
- Key Techniques: Data anonymization, compliance with regulations (GDPR, CCPA), bias detection and mitigation.
- Tools: Privacy-preserving techniques, risk assessment frameworks.
- Focus: Mathematical methods to decision-making, resource allocation & optimization.
- Key Techniques: Linear programming, simulation, queuing theory.
- Tools: CPLEX, Gurobi, MATLAB, R.
- Focus: Analyzing biological data, particularly in genomics and proteomics.
- Key Techniques: Sequence alignment, structural prediction, phylogenetics.
- Tools: Bioconductor, BLAST, PyMOL, BioPython.
Data Science | Business Intelligence | Business Analytics
TECHNOLOGIES WE WORK ON
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