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Algorithm Engineer Resume

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SUMMARY:

  • An accomplished, Data Science professional aiming for assignments in Data Science & Machine learning.
  • A competent professional with over 14+ years of IT experience and 6+ years in Data Science& Machine learning.
  • Well versed with domains like E - Commerce, Insurance, Retail, Finance and Telecom usage of Machine learning
  • Proficient in interacting with stakeholders for requirements, system study & analysis in Machine learning products.
  • Designed Insurance analytics product with forecasting, prediction & simulation.
  • Designed Retail analytics product with queuing, recommendation and Supply chain modules.
  • Proficient in Machine Learning Classification & Regression, clustering using tools R, Python, and Spark ML.
  • Managed E-Commerce features in Telecom domain in content personalization and Analytics practice.
  • An effective communicator with good analytical, leadership, interpersonal, and problem-solving skills.
  • Expertise in programs for analysis, development of LED Display Screens and Telecom access network products.

TECHNICAL SKILLS:

Analytics Tools: RStudio, Scikit-learn, Spark, Tableau, AWS-EMR, Cloudera, Data Science, Machine learning, deep learning (RNN, CNN, LSTM, Auto Encoders) .

Software: R, Python Scikit-learn, PySpark, Tensorflow, C++14, SQL Servers, Hive, Pig, Flume, HBase, Cassandra, Spark ML, Scala, Storm, and Kafka .

Domains Exposure: E-commerce, Insurance, Telecom, Retail, Financial Products, using Business Analytics

WORK EXPERIENCE:

Confidential

Algorithm Engineer

Responsibilities:

  • Working in Prescriptive analytics’ area Supply Chain Optimization, building predictive cases.

Key result Areas: Quant Risk pricing Engine Tools: C++14, Python,Protobuf, Gtest, Google Cloud, Git

Confidential

Data Architect

Responsibilities:

  • Built models for swaps, developed FX Forwards, software design, integration of modules and system level tests .
  • Carried product analysis , comparative analysis, and SWOT & feasibility study.
  • Developed qGraph risk & pricing engine for OTC Derivatives in FX Forwards, and ED Futures .
  • Developed asynchronous function modules that work in compute grid, applied machine learning on Event to price.
  • Led and managed functional & cross functional teams for the product development.

Key Result Areas: Insurance, Retail analytics MLTools: R, Python, PySpark, D3.js

Confidential

Senior Data Scientist

Responsibilities:

  • Designed Program Insurance Analytics platform for insurance life & Annuity.
  • Planned requirements from concept, visualization to machine learning algorithms mapping and final execution of program.
  • Undertook algorithm selection in ML, software design, implementation, integration of modules and system level tests .
  • Carried product analysis , comparative analysis, and SWOT & feasibility study.
  • Led machine learning team functional & cross functional for the product development in segmentation, fraud and predictive analytics insurance cases.
  • Designed Retail Analytics : Product categories supply-demand estimation, generate promotion order, and recommendations .
  • Impact of promotions from other vendor’s estimation and vendor product supply management modules.

Key Result Areas: Insurance Analytics using ML Tools: D3.js, MSSQL 2016, & R

Confidential

Software Architect

Responsibilities:

  • Planned requirements from concept, visualization to machine learning algorithms mapping and final execution of project.
  • Undertook algorithm selection in ML to software design, implementation, integration of modules and system level tests .
  • Managed & led team of engineers in product development.

Key Result Areas: Confidential, ML, Confidential Tools: Hadoop, Spark, R, SQL Servers

Confidential

Senior Program Manager

Responsibilities:

  • Design & development of Program “ Confidential Strategy & Analytics Upgrade ” for largest Retailer in World.
  • Planned end to end project requirements from concept, visualization to technology mapping and final execution of projects.
  • Queuing models & predictive model development, for cost & time efficient Route optimizations for stores.
  • Predictive analytics development using R machine learning in forecasting & fraud detection for operations.
  • E-Commerce platforms B2B, B2C product development, and its analytics (projects listed at the end).

Analytics Tools: Linux, R, C++, Java, SQL Servers

Confidential

Program Manager

Responsibilities:

  • Designed multi-threaded graphical complex event architecture and events from market data.
  • Managed program on development of Algorithmic Trading Suits & Algorithm Analytics.
  • Back tested 100’s of algorithms using MATLAB& R (some of them moved into market production)
  • Planned end to end project requirements from concept, visualization to technology mapping and final execution of projects.
  • Undertook activities related to software design, implementation, integration of modules and system level tests.

Tools: C, C++, VC++, MS SQL

Confidential

Software Development Manager

Responsibilities:

  • Handled product design and Confidential got 15 th place in the global map of LED display technologies
  • Managed MTNL 2G network telecom access product development in Mumbai & Delhi got the Department of Scientific Industrial Research .
  • Developed & led Digital Optical Exchanges DLC-NMS, DLC, and Delhi Municipal Display Streaming.
  • Master in cohesive war-rooms & brain storming with FPGA Teams in the transition of system software to FPGA’s to get better performance in LED Live Display Video Walls.
  • Efficiently handled Confidential LED display product; Confidential Ltd. Confidential received Indian Innovator “Hall of Fame ” in .
  • Steered efforts in managing MSAN-20 3G Wired Broadband Optical Access System Management Software Architect.
  • Successfully implemented advanced Imaging Technologies in LED display video walls.
  • Delivery of railway displays trains arrival & departure, Couch guidance systems above RDSO standards.

Confidential

Environment: R, Tableau, R, XL Miner, Teradata, Machine learning

Program Manager

Responsibilities:

  • Undertook activities related to:
  • Pricing & profit of South West airlines and new route identification, fleet insurance buying options simulations
  • Social media & network analytics using Google news, Facebook, Twitter, Amazon is using R framework & other packages
  • Views, key insights, written R code for filtering conditional subset data and clustering of million records
  • Enhanced algorithms Random Forest, Neural Network, MLP, Classification, Decision Trees, Clustering, market basket.

Confidential

Environment: Spark, Spring MVC, Oracle Web Centre, Oracle 11gR11, Solr, Java (JDK 1.6), AJAX, jQuery, Web Services, SOAP UI, Junit, SVN, Windows 7 and Version Control: SVN

Senior Program Manager

Responsibilities:

  • Gathered requirements from clients and served as senior point of contact for the project
  • Handled activities related to:
  • Development of program roadmaps, status, issues and success metrics
  • Design of level framework for client web services
  • Exhaustive design, phase gate reviews as well defect root analysis and resolution
  • Accountable for:
  • Leading cross-functional priority setting and resource allocation relative to program/project
  • Designed drools rule engine for product recommendations

Confidential

Environment: VC++, ASP.NET, SQL Server & Windows

Project Manager

Responsibilities:

  • Wrote Player Side & Central Server Modules functions in VC++ using Direct Show
  • Organized brainstorm sessions & integration testing of all the modules for project completion
  • Handled activities related to:
  • Regressions monitoring and task delegation
  • Estimations based on functions and time & innovation
  • Interacted with all project stakeholder’s engagement about risks & schedule
  • Provided guidance to FPGA Teams on image processing algorithms already developed in host side
  • Carried out user acceptance tests and field trails

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