SUMMARY

• Big Data Architect/Data Scientist/IT professional wif extensive experience in corporate and entrepreneurial environments from Financial Services, Pharma, Telecom, Publishing etc. industries.
• Hands - on experience in Data Science, Big Data, Cloud, Social Media, News and Web Analytics, Privacy, Security (Data Masking, Anonymization, Encryption), Statistical Machine Learning (Enhanced JaroWinkler similarity metric), Advance Analytics (Non Linear Regression, Transition Matrix etc. based scoring), Data lake & warehousing, Data preparation, Information Security (Code Scanning tools), Enterprise Search, Grid computing, Rules engine & Mobile app development.
• Highly skilled in proof-of-concept/prototype & product development, demo & presentation, open source evaluation, full stack development, ROI justification, pre/post-sales & RFP response.
• Strong experience in hands-on technical management, resource management, team building/leading/coaching/mentoring, release planning, vendor management, budget/ proposals, problem solving and decision making.
• Expertise in requirement & gap analysis, technology selection, architecture, design, development, production support, offshoring/outsourcing, data warehousing & mining.
• Certified Developer in Apache Spark, ClouderaCertified Developer for Hadoop,Certified Java Spring Framework Professional, Certified Cloud Master.
• Pursuing Data Scientist Certification (Passed:Cloudera Data Science DS-200 Exam).
• Exceptional qualitative and quantitative analysis abilities. Keen interest in in math and physics topics such as Algebraic Topology, String theory etc. Attended IoT meetups.
• Engineering graduate from prestigious IIT Bombay and MBA in Finance from Rutgers.

TECHNICAL SKILLS

BIG DATA: Spark, Hadoop, AWS Elastic Map Reduce(EMR), DynamoDB NOSQL, Pentaho, Lucene based Attivio Enterprise Search, Weka Statistical Machine Learning, Cloudera, Hive, HBase, Mahout, Tableau, Solr; Exposed to Talend, Cassandra, MongoDB, Storm, Avro, Tablue, Kinesis and Kafka

CLOUD: Amazon AWS S3, VPC, Data Pipeline, Elastic BeanStalk; Microsoft Azure, Vagrant, Chef

LANGUAGES etc.: Core Java, JEE/J2EE, R (Revolution R), SAS, Scala, Python, Websphere, WASCE, Websphere Portal, JDBC, XML Schema/DTD, SAX, XSL, Swing, JSP, Struts, Spring Framework, Hibernate, JPA, Flex, GWT, HTML5, CSS, C++, C#, .NET, PERL, TIBCO, BPM (Activiti, jBPM, Bonitasoft), Exposed to JQuery, Ruby on Rails, Facebook SDK, Node.js, Express

OS & HARDWARE: UNIX (Linux, AIX, Solaris, HPUX), Windows, Android

METHODOLOGIES: Agile, ALM, IBM RTC, Microsoft TFS, Collabnet CTF, Scrum, TDD, CI

ARCHITECTURE: EAI, SOA, EDA, Web Services SOAP & RESTful

COMMUNICATIONS: JMS, IBM MQ, Sockets, SNMP, HP Openview, CORBA

DBMS: Oracle, Sybase, DB2, Teradata, ERWIN, Exposure to Postgres

TOOLS: MS Project, Visio, PowerPoint, Excel, JRules, Drools, Blaze, Eclipse (Plug-in & SWT), JProbe, Documentum, CVS, SVN, PVCS, CM Synergy, Autosys, IBM Appscan Source, Fortify, OpenGL, Jenkins, Hudson, Maven, JProbe, Introscope, Visual Studio, Appery.io, Phonegap

PROFESSIONAL EXPERIENCE

Confidential

Senior Manager

Responsibilities:

• Developed architecture for security/privacy tools in Hadoop/AWS environment involving Apache Sentry, Knox etc. including streaming technologies using AWS Kinesis and Kafka for world’s first digital medicine wif ingestible sensor.
• Anonymized data using privacy analytics/algorithms implemented in ARX for structured data and MIST NLP based open source software for unstructured data.
• Researched scholarly papers for algorithms such as k-anonymity, t-closeness, differential privacy etc.
• Debugged Java and Python open source software to explore the utility(information) loss and reidentification risk implementation details.
• Came up wif ideas to improve/extend statistical disclosure control (matrix multiplication) algorithms to include multi valued cells as in the case of No-SQL databases.
• Implemented Amazon AWS/Hadoop Security using Kerberos, TLS/SSL.
• Diagnosed denial of service attacks and improved security using AWS security groups and network ACLs.

Confidential

Big Data Advanced Analytics Consultant

Responsibilities:

• Led the development of regulatory CCAR analytics model environment utilizing various technologies such as Spark, Hadoop, Java, Revolution R, SAS, Python, IPyton/Jupyter Notebook, GGPLOT, Matplotlib, Pandas, Scala, Grid computing, IBM Cloud etc.
• Statistical and machine learning models include Non Linear Regression, Logistic Regression and Scoring using distributed transition matrix multiplication.
• IPython/Jupyter Notebook integration wif Spark and Java.
• Explored Hadoop environment data security and privacy issues.
• Provided cloud architecture review, backup, restore, replication and migration plans.
• Hands on development of Cloudbridge application and migration of risk models & public info apps to cloud & big data involving Amazon AWS (Dynamo DB, S3, Data Pipeline, Elastic Map Reduce (EMR), VPC, Config, EC2, s3distcp, Backup Restore and Replication), Cloudera Hadoop, Java, Spring, Websphere Application Server, Ruby & Node.js. Explored Redshift. Provided Data Encryption, Masking and De-Identification.

Confidential

Data Scientist Consultant/Senior Manager

Responsibilities:

• Hands on tech management of a team which developed six innovative prototypes leading to productization on an offshoring basis involving various descriptive and predictive analytics models(social media, news, text, web) utilizing statistical machine learning, enterprise search, NLP, entity extraction, sentiment analysis, Lucene based Attivio Enterprise Search, Weka, BPM, semantic web, AJAX, Java. Spring, Hibernate, Hadoop, Map Reduce, Hive, Mahout, Tableau, JQuery, HTML5, Ruby on Rails, Python, OAUTH 2, Solr. Provided PCI compliance.
• Developed Models based on Deep Neural Network, Random Forest, Naïve Bays, K-Nearest Neighbors, Support Vector Machine (SVM) & Decision Tree from training data, validated using test data and utilized the model for new data for classification and unique ID assignment. Enhanced Jaro-Winkler similarity metric to achieve high precision.
• Provided key differentiating ideas regarding social networking, big data analytics, recommender systems to be included in RFP response.

Confidential

Engineer Sr. Analyst/Team Lead

Responsibilities:

• Project managed, team lead, architected, developed and supported a secure multi-threaded client/server application-store like platform: CDDT/Hermes including analytics visualization dashboard. This platform hosts multiple versions of equities, fixed income derivatives and other trading & quantitative applications & models. Over 40 mission critical applications wif over 4000 users globally utilize this system to reduce their deployment time wif trading application business users. Developed data architecture inclusive of unstructured data. Designed database schema, data goverance & compliance. Developed scripts for data migration and performed data management on replicated application data across global regions. Migrated the servers distributed globally to linux VMs in stages. Packaged TIBCO. Developed eclipse plug-ins. Technology: Core Java, JEE/J2EE, Java Webstart, Swing, JSF,JNA, JNI, VB, Weblogic/ Websphere, Sybase/Oracle.
• Migrated applications to IBM SmartCloud.
• Evaluated and Integrated “Information Security and Best Practices” source code analysis tools such as Fortify and Findbugs. Developed Technology Stack Road Map. Researched, wrote white papers and performed presentations on security tools, build forge (centralized build platform), Jazz.net Application Lifecycle Mgmt(ALM).
• Architected, designed and developed Secure SDLC compliance system interfacing wif RTC, TFS, Jenkins/Hudson wif IBM Appscan Source security scanning and Archer/QC downstream systems. Parsed XML result files. Developed & presented Use Cases.
• Developed a prototype to re-architect Enterprise Build & Deployment process - BPM (jBPM, Bonitasoft), Rules Engine(Drools, JRules), Spring/Hibernate and Hudson/Jenkins.