S

Skanda Prasad Ganapathy

AI Researcher

Chennai, Tamil Nadu, India21 yrs 5 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • Expert in Data Architecture and Cloud Solutions.
  • Proven track record in Data Science and AI applications.
  • Strong leadership in developing scalable data platforms.
Stackforce AI infers this person is a Data Architect and Data Scientist specializing in SaaS and Telecom analytics.

Contact

Skills

Core Skills

Data ArchitectureData GovernanceNlpData ScienceAiCloud SolutionsTelecom AnalyticsBig Data SolutionsAnalyticsSoftware DevelopmentNetwork Management

Other Skills

AWSAgile MethodologiesAlarm ManagementApache KafkaApache PigBig DataCChatbotsChurn PredictionData APIData ManagementData PipelinesDeep LearningDistributed SystemsDocker Products

About

Software Architect with strong expertise in the Cloud & Big Data space. Data Scientist with strong expertise in Financial Forecasting, NLP, Churn Prediction and Market Segmentation. Expertise: ----------- As a Data Scientist: ------------------------- • Agent development (LLM, Tools, MCP) •. Autonomous BI •. Telecom: Usage and Churn analytics • Transportation: Driver Churn Prediction • Sales & Marketing: Customer Churn modelling,Market Segmentation for tier-1 TSP in Africa, Econometric Forecasting Models for revenue projections for various businesses • NLP: Patent Portfolio Modeling based on NLP, Predicting construction project type based on detailed project textual data • Deep Learning: Semantic Sky segmentation using Deeplab, Image processing of Tomato farm using CNN (Health monitoring, predicting time for pollination, Yield monitoring) •. Building Chatbots for internal Customer Support As an Architect: -------------------- • AWS cloud - solution architecture, development & administration. Have worked with most of the AWS services. • Building internet scale web applications based on micro-services architecture • Distributed systems, Hadoop platform architecture, administration & development • Strategies for data acquisition, data modeling, and data processing on Hadoop & Spark • Building highly scalable Data Warehouse based on Snowflake and Redshift • Have also attempted building Domain Specific Languages (DSL) Tools & Technologies: ------------------------- Data Science: Agentic development (LLM, Tools, MCP implementation), Langchain, Pandas, scikit-learn, Keras, Tensorflow, Facebook Detectron, Dialogflow (chatbots) Big Data: Hadoop (MR, Hive), Spark, Elasticsearch, HBase, Redshift, Snowflake Programming languages: Java, Python and R Business Intelligence: DOMO, Google Data studio, Tableau Web: Flask, Nameko - microservices for Python, FastAPI, AWS API Gateway, AWS Lambda DevOps: Terraform, Docker

Experience

Zoom

Data @ Zoom

May 2022Present · 3 yrs 11 mos · Chennai, Tamil Nadu, India · Remote

  • As a Data Architect, I'm responsible for the architecture and development of platform components & frameworks used by multiple verticals of the Zoom Data Org.
  • Architect for the declarative ETL framework based on Spark
  • Owned multiple pieces of the Data Residency implementation
  • Played a significant role in Data Governance aspects - Data Catalog, Data Quality, Data Classification, Data Retention and DSARs (Right to be forgotten)
  • Implementation of Data API service
  • Developed a Sales Agent for Zoom’s Sales and Marketing teams to instantly answer queries related to the Zoom customer base.
AWSSparkData GovernanceETLData APIData Architecture

Trimble inc.

2 roles

Data Science Manager & Principal Data Scientist

Feb 2020May 2022 · 2 yrs 3 mos

  • Currently leading the Central AI team in India. Central AI deals with most of the enterprise business intelligence, data and analytical systems across Trimble BU's & my team helps data science use-cases take off from concepts & prototypes to production.
  • Customer Churn prediction
  • Patent Portfolio Modelling and Analysis using NLP techniques
  • Driver Fingerprinting using a Deep Net
  • Work Order recommendation for Agricultural farms using LSTM's
  • Semantic Segmentation for various use-cases in video analytics
  • Sales and Revenue forecasting using Econometric approaches for various Trimble BU's
  • Chatbot for Customer Support
  • Presented a paper on "Telematics Fingerprinting using Artificial Intelligence" at Trimble India Technology Day 2018
  • Presented a paper titled "Customer 360 for disrupting digital transformation" in the Trimble Global Technology Conference 2020.
  • Active presenter in multiple technology conferences and tech/management institutes.
NLPDeep LearningEconometric ForecastingChatbotsData ScienceAI

Data Architect

Oct 2015Jan 2020 · 4 yrs 3 mos

  • AWS solution architect - Telematics data platform for processing driver and vehicle logs to enable vehicle, driver and trip analytics.
  • Master Data Management for transportation project based on microservices architecture on the AWS cloud
  • Custom stream processing framework based on Lambda functions for a telematics product
  • Cloud evangelist at Trimble Chennai
AWSMicroservicesMaster Data ManagementData ArchitectureCloud Solutions

Xoanon analytics

System Architect at Xoanon Analytics, Founding Team member

Aug 2014Oct 2015 · 1 yr 2 mos · Chennai Area, India

  • Telecom Analytics as SaaS
  • Market research and usage analytics for Tier 1 TSP in Africa
  • Telco behavioural segmentation model for Tier 1 TSP having 20M customer base
  • Telecom community detection using call graph analysis
  • Maintained an in-house large Hadoop cluster
  • Architect for the data pipelines based on Hadoop
HadoopTelecom AnalyticsData PipelinesData Architecture

Yume by rhythmone

Principal Software Engineer

Oct 2013Aug 2014 · 10 mos · Chennai

  • YuMe is a multi-screen video advertising technology company that is defining the next generation of brand advertising using proprietary data science algorithms for targeting the brand receptive audience segments.
  • Contribution
  • Proposed the architecture for YuMe next generation data management platform based on the Big data Lambda Architecture
  • Designed and implemented the YuMe unique viewer repository leveraging HBase
  • Implemented a Domain Specific Language for the YuMe ETL processes based on Eclipse XText
  • Prototyped Apache Spark for building YuMe’s stream processing capabilities
Big DataData ManagementHBaseData ArchitectureBig Data Solutions

Ericsson

Sub System Architect

Aug 2009Oct 2013 · 4 yrs 2 mos · Chennai Area, India

  • Analytics Suite, Charging Reporting System (CRS)
  • Project Excerpt - Analytics Suite
  • The Analytics Suite is an easy-to-use business intelligence tool that enables you to analyze and leverage the charging, billing and network data that already exist in your systems in order to provide more efficient customer management.
  • Contribution
  • Involved in the design, development & maintenance of the home grown distributed processing ETL framework using Hadoop
  • Have written lot of Map-Reduces for different use cases of the product
  • Involved in the design, development & maintenance of a home-grown Reporting framework using Mondrian as OLAP engine
  • Involved in the design, development & maintenance of the OAM system developed using J2EE on Glassfish App. server
  • Project Excerpt – Charging Reporting System (CRS)
  • Charging Report System (CRS) is a DWS system that collects data from the various network elements of the charging system in the form of CDR (Call Detail Record) and produces call usage and account related reports.
  • Contribution
  • Was part of the team that migrated the legacy PL/SQL based DWS system to run on HBase (CAH) and Hadoop (Reporting)
  • Played a key role in the architecture and development of a centralized service management and configuration management framework with Apache Zookeeper at the core
HadoopETLReporting FrameworkData ArchitectureAnalytics

Aricent

Senior Software Engineer

Sep 2006Jul 2009 · 2 yrs 10 mos · Chennai Area, India

  • NE Adapter Development
  • Skills:TL1, SNMP, JAVA, SONET, EMS/NMS
  • Project Excerpt
  • NE Adapter is a plug-in component for the Nakina MVEMS framework, which manages the multi-vendor Network Elements across the network. The adapter supports most of the FCAPS functionalities like Fault management, Performance management, Configuration management, Security management, etc.
  • Contribution
  • Involved in the design and coding of adapters for Fujitsu Flashwave4100, Lucent LambdaXtreme Transport, Nortel OME, Siemens hiT7500 and Cisco ONS15454.
  • The adapter implementation involves Inventory Mediation, Facility Management, Performance Monitoring, Handling of Alarms and Events, Backup & Restore, Cross-Connect provisioning and Software Delivery for Network Elements of different vendors.
  • UT and ST of the adapters
JavaSNMPNetwork ManagementSoftware Development

Wipro technologies

Project Engineer

Sep 2004Sep 2006 · 2 yrs · Chennai Area, India

  • Calix E5P Development
  • Skills: SNMP, JAVA, JMS, EMS
  • Project Excerpt
  • E5P is a plug-in component for the CMS-Lite server, which manages the E5 shelves (IPDSLAM devices) in the network. The E5P implementation consists of two major components, E5D and E5A that does the discovery and alarm management respectively. The E5D is an independent component used to auto discover deployed E5s within specified IP address range. CMS server via xml message instructs E5D. E5A is a component responsible for E5 alarm related functions.
  • Contribution
  • Designing the Alarm Management module
  • Coding the entire Alarm Management module
  • Unit Testing the Alarm Management module
  • Integration & System Testing of E5P
JavaSNMPAlarm ManagementSoftware DevelopmentNetwork Management

Education

Indian School of Business

Advanced Management Programme in Business Analytics (AMPBA)

Jan 2016Jan 2017

University of Madras

Bachelor of Engineering (B.E.) — Computer Science

Jan 2000Jan 2004

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