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Build Machine Learning Models
using expert Data Scientists teamMachine Learning &
Data Science ConsultingOverview
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Data Science Consulting Services
Data is the real asset for any business which can decide the future of an organization. Unleash the true potential of data by using best Data Science consulting company. DataFram has expert Machine Learning consultants who build complex LLMs which can be used to achieve business goals. Our specialization lies in providing customer AI model development services and processing cost optimization. From EDA (Exploratory Data Analysis) to Predictive Analytics to ML Models Creation to Feature Engineering, DataFram covers all aspects of Machine Learning & Data Science engineering.
What is Data Architecture?
What is Data Architecture?
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Related Services
Exploratory Data Analysis (EDA)
Understand primary characteristics of a data set to enrich its full potential and get meaningful graphs, charts and other patterns
Predictive Analytics
With frequent shifts in market & client sentiments, it becomes important to be prepared for future needs using Predictive analysis
ML Model Creation
Get custom machine learning models using complex analytics & algorithms to scale multiple business variables and outcomes
Feature Engineering
Select, transform and create features or variables for ML model optimizations and get ahead
Get Free Consulting on Data Science & Machine Learning
Talk to the expert Data Scientist team & build robust ML models
- Rashed Ka, CEO
Why DataFram for
Data Science &
Machine Learning Consulting Services?
- Expertise in latest ML models & tools
- End to end data engineering capabilities
- Quick prototyping and implementations
Our Achievements
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Robust Data Infrastructure
We successfully built and implemented a scalable data infrastructure capable of processing petabytes of data, ensuring seamless data flow across multiple platforms and applications.
Award-Winning Data Strategy
Our innovative data strategy was recognized with the prestigious Data Strategy Award, highlighting our commitment to driving data-driven decision-making and business intelligence.
Advanced Data Security Protocols
Implemented advanced data security protocols, achieving a 99.9% reduction in data breaches and ensuring the highest standards of data privacy and compliance.
Explore More Services
Relevant Data,
Meaningful Analysis and
Scalable ML Models
Talk to DataFram Data Scientists and Machine Learning Consultants to
better business planning
Selected Case Studies
What clients said about us
Peter Lie
“I am very happy to work with DataFram as they have very good team of Business Intelligence consultants. They are very professional and are always available to pivot.”
Jay Prakash
“DataFram has helped us to build Business Intelligence platform which has increased our customer satisfaction from 62% to 86%. Their understanding of meaningful dashboard creation is exceptional as they always come up with new ideas which can have direct impact on business.”
Paul Liboy
“DataFram team has enhanced our Bot containment from 40% to 70% and saved million dollars. They have one of the best team of data scientists and NLP consultants. Their understand on latest AI models is exceptional.”
FAQs
It’s advisable to use cloud platforms to train Machine Learning models until you have cost effective storage & processing arrangement on your own. You can use Azure machine leaning, Amazon machine learning or Google Machine learning engines. There are also several other cloud tools available to train ML models.
Machine Learning Operations usually called MLOps which helps Data Scientist team to effectively manage machine learning life cycle. Though there is no defined practices or processes for MLOps still few of the widely used components are EDA, Feature Engineering, Model Training & Tuning, Deployment and model improvement.
Our Data Science consulting services and Machine Learning consulting services include vast range of offerings and are not limited to just analysis data and implementing LLMs. Few of the key offerings are getting unstructured data from various sources, storing data in meaningful & cost-effective ways, processing data as per various use cases, analysing data, building models, training AI models and improvements.
The choice of tools depends on variety of factors like data volume, industry, complexity, purpose, budget etc. Few of the commonly used NLP tools are MonkeyLearn, spaCY, Stanford CoreNLP, MindMeld, Amazon Comprehend, OpenAI, IBM Watson, Gensim, PyTorch, FireEye Helix etc.