SUMMARY:

• Big Data Solution Architect wif designing and leading development road maps of various Big Data Analytics, Data Mining and Data Science Projects in Banking & Finance, Telecom, Solar Energy and Retail domain.
• Lead Data Analytics and Data Science projects development wif relevant industrial experience and research on Churn Prediction, Predict Loan Risk, Campaign Recommendations, Customer Clustering, Transactional Classification, Credit Risk Estimation, Predict sales of products, Recommend Product Basket, Hoarding Geo Positioning etc.
• Years of experience in Leading Big Data Project Development and Release Management wif Lambda, Kappa, WOA, SOA, Microservice and Monolithic Architecture.
• More TEMPthan 10 years of design and development experience in Client Specific Best Fit or Unified Big Data Analytics Platform, Batch & Real - time Data Processing Pipelines/Frameworks, Data Mining, Data Science Modeling using Machine Learning and AI Libraries, IOT Analytics, Recommendation System, OLAP/OLTP Statistical Modeling, Data Warehouse and Big Data Analytics Platform Orchestration & Automation.
• Has years of development/implementation experience and s in Big Data Platforms and Ecosystem of Apache, Cloudera Hadoop, SPARK, Machine Learning, Deep Learning, TensorFlow, MR-SQL/NoSQL Storage, Java, Python, ETL Tools (Ab Initio, Talend), Analytics Tools (Tableau, Zeppelin, Jupyter, Plotly etc.), AWS and Scripting Languages (Python, Bash Shell Script, Scala, AWK, Perl etc.)
• Hands on experience in Requirements Analysis, Planning of Project Development Road Maps, Software/Platform Design and Architect, Code Reviewing, Leading Project Development, Mentoring Team, Project Management and Resource Management of SDLC/Agile based projects.

TECHNICAL SKILLS:

• Apache Hadoop, Cloudera Distributed Hadoop, Databricks and Apache Mesos
• Yarn, HDFS, Spark (RDD, DataFrame, Dataset, Spark SQL, MLlib, PMML, Data Pipeline, Streaming), Hive, Impala, HBase, Snowflake, Flume, Kafka, Elastic Search, Livy, Pig Latin, Hue, Oozie, Kibana, Azkaban, Chronos and Marathon
• Azure Cloud Services (Blob Storage, Snowflake, Pipeline, Snowpipe, DataFactory, Postman)
• Amazon Web Services (S3, EC2, EMR, Storage Gateway, Redshift, Elastic Cache, Data Pipeline)
• Python, JAVA, Scala, Shell Script, Java Script and html
• Machine Learning, Deep Learning, TensorFlow, Spark (MLlib), Python (Scikit-Learn), PMML, Jupyter Notebook, Databricks, Zeppelin, MATLAB and Tableau
• Inhouse Developed ETL Frameworks, Sqoop, Ab Initio, Kite, Talend
• Oracle, My SQL, SQLite, H2, Teradata, VoltDB and Redis
• Django, Flask, Apache Tomcat, WSGI, Weblogic, JBoss
• Linux (Redhat Linux), Ubuntu, SUN Solaris, Macintosh and Windows
• Eclipse, PyCharm, Git, Docker, Ansible, Airflow, MySQL Workbench, SQL Developer, Putty

PROFESSIONAL EXPERIENCE:

Big Data Solution Architect

Confidential

Responsibilities:

• Lead design, development and maintenance of Big Data Analytics Project Development and Orchestration for Risk and Compliance Enhancements.
• Requirement analysis and provide solution for product architecture, BI model design, automation, issue resolving and quality enhancement.
• Develop Exposure At Default of Basel III Wholesale Exposures & RCAP Retirement (RAY) and Single Counter Party Credit Limits (SCCL) and ROC Exposure and Risk Weight analytics framework for exposure aggregation on legal hierarchy, counter party clustering on economic and control hierarchy in Big Data using complex Multi Direct Graph Algorithms on top of Spark.
• Perform multivariate analysis, predictive, classification and clustering modelling using statistical techniques.
• Enhancement of Data Pipeline framework for Data sourcing, injection, aggregation and data quality to Common Data Storage/DataLake.
• Lead design and development of Big Data Projects or Azure Cloud Migration and new or traditional tools & technologies implementation.
• Requirement analysis and provide solution for design, issue resolving and quality enhancement.
• Provide big data solutions across departments to drive improved business efficiencies through designing, building and collaborating to automate models.
• Facilitate design sessions wif client and translate functional designs for visual presentation.
• Identify and manage risks and assumptions and for realizing benefits at department level.

Lead Data Scientist / Architect

Confidential

Responsibilities:

• Design projects road map and manage SDLC/Agile based projects development in Hadoop Platform.
• Lead development of data science projects of Machine Learning, Deep Learning and AI.
• Create, assess, evaluate & iterative improve Data Science Models and Applications.
• Perform multivariate analysis, predictive modelling and clustering market basket analysis using statistical techniques.
• Design and lead development of PMML and PFA models for Strategic Science Engine in AWS cloud.
• Facilitate design sessions wif client and translate functional designs for visual presentation.
• Requirement analysis and provide solution for design, issue resolving and quality enhancement.

Lead Data Scientist / Senior Manager

Confidential

Responsibilities:

• Design and Architect Big Data Analytics, Data Warehouse and Campaign Management Platform.
• Lead development of Data Science Projects of Machine Learning, Deep Learning and AI.
• Perform multivariate analysis, predictive, classification and clustering modelling using statistical techniques.
• Lead development of Offer Recommendation and Campaign Management Platform.
• Lead design and development of Big Data Projects or AWS Cloud Migration and new or traditional tools & technologies implementation.
• Analyze data wif BI tools and build Data Analytic Reporting solutions.
• Requirement analysis and provide solution for design, issue resolving and quality enhancement.
• Manage and Lead Project Development Road Maps, Development, Code Review, Mentoring, Unit Testing and Deployment of Release.

Big Data Solution Architect

Confidential

Responsibilities:

• Lead development of Data Science projects of Machine Learning and NLP on Big Data Platform.
• Develop Real Time Insight Engine to process data using business insight & machine learning models.
• Design Hadoop applications and integrated Neon wif AWS cloud platform.
• Provide summary statistics of key performance metrics and other measures significant business units.
• Analyze data wif BI tools and build Data Analytic Reporting solutions
• Provide big data solutions to drive improved business efficiencies through designing and development.
• Manages data requests to improve the accuracy of our data and decisions made from data analysis.
• Review code, release and implementation Data Science and Big Data Projects.

Software Engineer

Confidential

Responsibilities:

• Develop Big Data Orchestration Platform to monitor and manage applications/services.
• Develop Cerberus (Resource Manager of nodes, connections, queries, email-ids and data points etc.).
• Interpret & translate analytic output into insights using Pig and Map Reduce applications.
• Develop various Automation programs and data insight ETL models.
• Develop self-propelled multi-threading housekeeping software to purge and archive.
• Develop job deployment, configuration, scheduling, reporting and alert & notification automation.
• Support to applications, services and analytics orchestration at L3 level.