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PAXCEL Technologies Pvt. Ltd.
Data Analytics
Practice
Every business has it’s unique challenges. However most of our clients reach out to us when they want to:
• Improve Business Planning
• Improve Data Quality and Consistency
• Achieve better business transparency
• Monitor processes performance
• Improve and optimize process performance
• Improve customers interaction and satisfaction
• Ensure compliance and reduce risk
• Include more data and achieve scale
• Gain competitive edge
• Achieve data visualization for instant insights delivery
What is our passion?
To help clients make smarter decisions by leveraging their
data
www.paxcel.net
MACHINE
LEARNING
R, SHINY
PYTHON, DJANGO
CLUSTER ANALYSIS
FACTOR ANALYSIS
PRINCIPAL COMPONENT
ANALYSIS
REGRESSION
CLASSIFICATION
PREDICTIVE
ANALYTICS
BIG DATA
HADOOP ECOSYSTEM
(MAP-REDUCE, HIVE,
PIG)
IMPALA
AMAZON REDSHIFT
PRESTODB
GOOGLE BIG-QUERY
NO SQL (HBASE,
CASSANDRA,
MONGODB)
SQL (SQL SERVER, MY
SQL, VOLT DB)
BUSINESS
INTELLIGENCE
MICROSOFT BI
STACK (SQL SERVER,
SSRS, SSAS,
SSIS,POWERVIEW)
SPAGOBI
MONDRIAN
JPIVOT, JPALO
BIRT, SAIKU
TALEND
VISUALIZATION
TABLEAU
HTML5 BASED
VISUALIZATIONS
(MOBILE, WEB)
D3 CHARTS
KENDO
STOCCHARTJS
(PROPRIETARY
LIBRARY)
DEVELOPMENT
PLATFORMS
AMAZON –AWS
MS AZURE
(CLOUD BASED)
CLOUDERA
How do we do it?
Honestly, we just nerd out on all aspects of data analysis
www.paxcel.net
• Languages/ Tools/ Libraries
– Python
• Numpy, Scipy, pandas,opencv,Scikit
learn , pybrain, pywavelets ,Orange.
– R
• -cluster,-fpc,-fmsb,-rClr,-
dataframes2xls,-ggplot2
• Classification and Regression
– SVM’s, Neural networks, Logistic Regression,
Linear Regression, Bayesian Networks Decision
Trees, ECOC strategies.
• Clustering
– K-means (Hartigan-Wong, Lloyd, Forgy,
MacQueen), weighted k-means, hierarchal, two
step, birch clustering.
• MetaHeuristics
– Genetic Algorithms,Particle Swarm Optimisation
and Variants,
• Misc. Algorithms
– PCA, Transform Theory, Wavelets, Pareto
optimality, Fuzzy Logic.
– Reinforcement Learning, Time series analysis.
Algorithms worked on
Analytics in Media
Outdoor, TV
Geographical Data Analysis
Autografix Dashboard
TV Ad – Post campaign analysis
Machine Learning
Few Samples
Cluster Analysis
Principal Component Analysis
Neural Network
Analytics in Education
Adaptive Learning
A School Teacher Dashboard
A Question Suggestion Engine
Retail Analytics
Footfall Analysis
Historical Footfall Analysis
Real-Time Footfall Analysis
• Proof of Concept Evaluation
• Existing Architecture Review and Consulting
• Implementation Services
• Extended Team
Our engagement models:
Let’s start with “hello”
www.paxcel.net
Few of our clients
www.paxcel.net
Contact Us…
www.paxcel.net

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Data Analytics Practice at Paxcel

  • 1. PAXCEL Technologies Pvt. Ltd. Data Analytics Practice
  • 2. Every business has it’s unique challenges. However most of our clients reach out to us when they want to: • Improve Business Planning • Improve Data Quality and Consistency • Achieve better business transparency • Monitor processes performance • Improve and optimize process performance • Improve customers interaction and satisfaction • Ensure compliance and reduce risk • Include more data and achieve scale • Gain competitive edge • Achieve data visualization for instant insights delivery What is our passion? To help clients make smarter decisions by leveraging their data www.paxcel.net
  • 3. MACHINE LEARNING R, SHINY PYTHON, DJANGO CLUSTER ANALYSIS FACTOR ANALYSIS PRINCIPAL COMPONENT ANALYSIS REGRESSION CLASSIFICATION PREDICTIVE ANALYTICS BIG DATA HADOOP ECOSYSTEM (MAP-REDUCE, HIVE, PIG) IMPALA AMAZON REDSHIFT PRESTODB GOOGLE BIG-QUERY NO SQL (HBASE, CASSANDRA, MONGODB) SQL (SQL SERVER, MY SQL, VOLT DB) BUSINESS INTELLIGENCE MICROSOFT BI STACK (SQL SERVER, SSRS, SSAS, SSIS,POWERVIEW) SPAGOBI MONDRIAN JPIVOT, JPALO BIRT, SAIKU TALEND VISUALIZATION TABLEAU HTML5 BASED VISUALIZATIONS (MOBILE, WEB) D3 CHARTS KENDO STOCCHARTJS (PROPRIETARY LIBRARY) DEVELOPMENT PLATFORMS AMAZON –AWS MS AZURE (CLOUD BASED) CLOUDERA How do we do it? Honestly, we just nerd out on all aspects of data analysis www.paxcel.net
  • 4. • Languages/ Tools/ Libraries – Python • Numpy, Scipy, pandas,opencv,Scikit learn , pybrain, pywavelets ,Orange. – R • -cluster,-fpc,-fmsb,-rClr,- dataframes2xls,-ggplot2 • Classification and Regression – SVM’s, Neural networks, Logistic Regression, Linear Regression, Bayesian Networks Decision Trees, ECOC strategies. • Clustering – K-means (Hartigan-Wong, Lloyd, Forgy, MacQueen), weighted k-means, hierarchal, two step, birch clustering. • MetaHeuristics – Genetic Algorithms,Particle Swarm Optimisation and Variants, • Misc. Algorithms – PCA, Transform Theory, Wavelets, Pareto optimality, Fuzzy Logic. – Reinforcement Learning, Time series analysis. Algorithms worked on
  • 5. Analytics in Media Outdoor, TV Geographical Data Analysis Autografix Dashboard TV Ad – Post campaign analysis
  • 6. Machine Learning Few Samples Cluster Analysis Principal Component Analysis Neural Network
  • 7. Analytics in Education Adaptive Learning A School Teacher Dashboard A Question Suggestion Engine
  • 8. Retail Analytics Footfall Analysis Historical Footfall Analysis Real-Time Footfall Analysis
  • 9. • Proof of Concept Evaluation • Existing Architecture Review and Consulting • Implementation Services • Extended Team Our engagement models: Let’s start with “hello” www.paxcel.net
  • 10. Few of our clients www.paxcel.net