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Data Analytics Practice at Paxcel
Paxcel Technologies provides data analytics services to help clients make smarter decisions using their data. Their services include improving business planning, data quality, transparency and monitoring processes. They use machine learning techniques like regression, classification and predictive modeling along with tools like Python, R and Hadoop. Their goal is to help clients gain insights and competitive advantages through data visualization. They have experience in industries like media, education and retail and provide services like proof of concept evaluations and implementation.
Data Analytics Practice at Paxcel
- 1. PAXCEL Technologies Pvt.Ltd. Data Analytics Practice
- 2. Every business hasit’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 CLUSTERANALYSIS 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 ClusterAnalysis Principal Component Analysis Neural Network
- 7. Analytics in Education AdaptiveLearning A School Teacher Dashboard A Question Suggestion Engine
- 8. Retail Analytics Footfall Analysis HistoricalFootfall Analysis Real-Time Footfall Analysis
- 9. • Proof ofConcept Evaluation • Existing Architecture Review and Consulting • Implementation Services • Extended Team Our engagement models: Let’s start with “hello” www.paxcel.net
- 10. Few of ourclients www.paxcel.net
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