Anirudh Kala

CEO

Jaipur, Rajasthan, India16 yrs 8 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in Machine Learning and Data Science.
Led multiple healthcare analytics projects.
Director at a leading data science firm.

Stackforce AI infers this person is a Data Science and Machine Learning expert with a focus on Healthcare and Big Data solutions.

Contact

anirudh.geek@gmail.com LinkedIn

Skills

Core Skills

Machine LearningData SciencePharma AnalyticsBig DataPredictive AnalyticsData Analytics

Other Skills

AlgorithmsAmazon Web Services (AWS)AnalyticsApache HiveApache SolrApache SparkApplied ProbabilityArtificial IntelligenceArtificial Neural NetworksAzure Data PlatformAzure MLBig Data AnalyticsCNTKCassandraClinical Trials

About

Expert in Machine Learning techniques, Artificial Intelligence and Natural Language Processing . Helped multiple organization with Quantitative Research, Natural Language Generation, Data Science Exploration and Big Data implementation to run their large scale Data Warehouse. Worked in every aspect of Data Analytics using Azure Data Platform. Expert in implementing ML solutions and productionizing them using Azure ML and Cognitive Services. Worked as an advisor for large management consulting firms on how to utilize the power of deep learning in their organizations. Expertise in text Analytics - Building Ontologies, hierarchical categorization ,custom annotators, classification , Recommendation Engine using Apache frameworks like Apache UIMA etc.. Expert in building Semantic Search engines using Azure Search and Stanford core NLP and Scikit- Learn(Python). Expert in Building Large Data Warehouses ranging from 10TB to 1PB. Have implemented the same for multiple vertical ranging from Pharma , Retail to ecommerce. Currently working as the Director of Celebal Technologies , A data science boutique firm dedicated to Large Scale Analytics. Helping organizations realize the power of chatbot and automation using Cortana Bot Framework and LUIS platform. Expertise in implementing Deep Neural Nets - Convnets , RNN with LSTM , Restricted Boltzmann machines. Helping organization realize their text economy using Language Models. Expert in CNTK , proficient in Tensorflow, Caffe and Torch.

Experience

Celebal technologies

Chief Executive Officer

Oct 2016 – Present · 9 yrs 5 mos · Jaipur / Houston / Singapore/ Toronto / Tokyo / Dubai / Sydney

I am responsible for all data innovations at Celebal Tech where we build intelligent and data intensive applications leveraging Azure platform. For us, Data Science in Celebal is a combination of two things - Machine Learning and Large Scalable Data Lakes. We work on some of the most cutting edge technologies using Microsoft Azure , solving problems for domains like BFSI, Manufacturing, Healthcare , Retail and Media. Celebal is the hub for innovation in the field of IoT where we are trying to solve one of the most difficult problems in Infrastructure and and Manufacturing. We have multiple products built on top of Azure DataBricks and Data Factory. We do everything in ML right from Classical Machine Learning to Advance Deep Learning.
Our focus Areas include Supply Chain Analytics and we have an IP solution that provides inbuilt solution for Demand Analytics, Pricing optimisation, Inventory optimisation, Procurement , Production planning etc. It uses the azure platform to build data pipelines from on Prem ERPs to Cloud and then Azure ML Services renders these algorithms on an intuitive platform. More can be found in the links below.

Machine LearningAzure Data PlatformData ScienceBig DataData Analytics

Vitrana

Chief Data Scientist

Jan 2015 – Oct 2016 · 1 yr 9 mos · Jaipur Area, India

At Vitrana, I lead the data science practice, majorly contributing to the Pharma Analytics effort. We are developing products in Healthcare relating to RNA sequencing, DNA Methylation, Clinical Trials, Epidemiology etc using state of the art Machine Learning Algorithms. We have built multiple products around Multi Channel Marketing for Pharma using Open Source Data Platforms like Spark, Mlib, H20, TensorFlow and Cassandra.

Machine LearningPharma AnalyticsOpen Source Data PlatformsTensorFlowCassandra

Topcoder

Data Scientist

Aug 2014 – Jan 2015 · 5 mos · Jaipur / boston

Implemented Data Science for multiple domain ranging from Epidemiology, Pharmaceutical Marketing and Supply chain, Quantitative Research for Space Exploration Program.
Used multiple machine learning and statistical modeling techniques and worked with one of the largest anthropological org with their research deptt. to predict the weight of a new born baby.
Developed multiple analytical model using algos like Neural Network , Adaboost , Convolution, Boosted Forest and so on.

Data ScienceStatistical ModelingMachine LearningNeural Networks

Zs associates

Researcher - Data Science

May 2013 – Aug 2014 · 1 yr 3 mos · Gurgaon, India

Inception member of Data Analytics innovation lab primarily focusing on Big Data , Machine Learning, Predictive Analytics, Semantic Search etc. Worked on building a semantic search engine that can return smarter result in minimal turn around time. Worked on augmenting an existing analytics system on a cloud platform (Amazon Aws). Worked on predicting call centre effectiveness based on the pattern in the call discussion. Technologies used: R, python , hadoop, hive , mahout, mongodb, mapreduce.

Big DataMachine LearningPredictive AnalyticsSemantic Search

Ibm

Data Science Consultant

Mar 2012 – May 2013 · 1 yr 2 mos · Gurgaon, India / Boston US

Strategy Consultant at UIMA, Created predictive model for determining the customer loyalty for a brand using algorithms like Adaboost, Neural Network and Support Vector machine. Implemented multiple systems predicting offer Prediction and Fraud Analytics using Python scikit and theano. Worked on cutting edge concepts like Hadoop , Hive , R (Statistical modelling) and Mahout. Also worked on concepts like Virtual Private Database, Dynamic Reporting, Complex Hierarchies( Reporting) and classical data warehousing.

Predictive ModelingFraud AnalyticsData WarehousingHadoopData SciencePredictive Analytics