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Data Science and Analytics Company

Where we empower your business with Data Science technologies

Businesses today have to compete with marketing challenges, new offerings, understand business vision and convert the opportunities.
We at Tech Pathway makes it easier for businesses with the help of data that is gathered across various sources either inside or outside enterprise. Data science as a service is really a demand for businesses, it helps effectively minimise revenue leakages, identify problems and frauds, empower revenue growth, regular sales conversions, and improve the life of enterprise employees.Tech Pathway data science experts implement Data Sciencetechnologies like Machine Learning, Artificial Intelligence, and Deep Learning in the big data solutions.
We also helps enterprises to predict and perform data-driven business decisions and understand important steps to strategize and optimize operations.

What We Offer as a Service

Data Analytics services offered by us

Advanced Analysis of Data

Gathering data from various required sources

Data Visualization

Arranging data for modeling tasks

Data Management

Identifying relevant data algorithms for use case on which we need to work

Data Science

Machine Learning Model development

Big Data Consulting

Ensure execution of proposed models

Outsourced Data Analysis

IRanking & projection of data scores

Types of Analytics we deliver

Identifying and combining appropriate analytics – Like descriptive, prescriptive, diagnostic and predictive. Our expert works to implement the following solutions:

Data Science Algorithms for Machine Learning

There are various machine learning algorithms

Linear Regression

it is a technique which explains a relationship between the variables.

Hypothesis Testing

it is a process in which statistical tests are used to check if a hypothesis is true or not using data. Based on this testing one can accept or reject the hypothesis.

ANOVA

this test is used to determine the mean of more than 2 groups of data set are different from each other.

Logistic Regression

it is technique to find relationship between a set of input variables and output variables.

Clustering

It is a kind of algorithm where the data is grouped into unique and differentiated clusters.

Decision Trees

it is extremely easy to understand and interpret. At every node of the tree one can interpret what would be the consequence of selecting that node or option.

Principal Component Analysis

This technique reduces the data set of higher dimension to lower dimension without the loss of information.

Conjoint Analysis

this test is used to identify the preferences of customers for different attributes which makes a product.

Tools we use in Data Science

R
it is the most popular tool in the industry. It has become a lot more robust and can handle large set of data easily.
Python
it is the most favourite tool of programmers. This tool offers a comprehensive coverage of statistical and mathematical function.
Apache Spark
this tool especially works on unstructured data and huge volume of data.
Apache Storm
it's a big data tool for moving data and is ideal for real-time analytics or stream processing.
Tableau
it is an easy tool which is used for slicing and dicing your data and creating great visualization and dashboard.
Qlikview
it is a slightly faster tool than tableau and is way more flexible.
Splunk
this tool has a web interface which makes it more easy to use and has a great visualization option.

Industries we have reached with our Big Data Science solutions

Our Competencies and Achievements

Microsoft Gold Data Analytics Competency
Amazon Web Services Partner
Successful projects for Healthcare, Banking, Advertising, Manufacturing and Retail, etc.
5+ years of experience in big data consulting
Fastest growing company in Data Science and Analytics in 2018

Full Range of Data Analytics Services

Advanced Data Analytics
Data Science
Data Visualization
Data Management
Outsourced Data Analysis
Big Data Consulting
BI Consulting