Ananya Ghosh Chowdhury
Harvard Business Review Advisory Council Member @Harvard Business Review
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WORK HISTORY
Harvard Business Review Advisory Council Member @Harvard Business Review
Deliver significant insights that influence content and deepen the comprehension of management and leadership ideas from HBR and beyond. This Council provides a forum for active engagement, knowledge exchange, and joint progress in our grasp of the corporate world. Excited to embark on this cooperative adventure.
EDUCATION
West Bengal University of Technology, Kolkata
Electronics & Communication Engineering
University of Connecticut School of Business
MS in business analytics and Program management
ABOUT ANANYA GHOSH CHOWDHURY
An industry thought leader helping organizations revolutionize their strategies leveraging AI and advanced analytics. An advisor aiming to support organizations achieve their desired business outcome with desiging and implementing solutions focusing on AI, Machine Learning, Data Engineering, Advanced Analytics, Data Explorations, Business Intelligence, Application Development & Product Development. TECHNICAL SKILLSET- Cloud Architecture, IoT Architecture, SOA, Business Architecture, Application & Data Architecture Microsoft Azure, IoT Hub, Service Fabric, Kubernetes, App Services, Service Bus, Event Hubs, Stream Analytics, Cosmos DB, SQL Database, Azure DevOps, Azure Data Factory, Azure Databricks, Azure Data Lake Store, Redis Cache, API Management, Azure VNET, Traffic Manager, Load Balancer, Azure Site Recovery, Azure Migrate Amazon Web Services, CloudFormation, AWS IoT Core, Kinesis Data Streams, Kinesis Firehose, Kinesis Data Analytics, Lamda, DynamoDB, Amazon SES, SQS, S3, EC2 SSO, AD, Azure AD, Azure AD B2C, ADFS, Identity & Access Management, OpenSSL Languages: C#, Python (Panda, Numpy), R, PySpark, ASP.NET, Entity framework, Angular JS/7, MVC, Web API, JavaScript, PowerShell, Linux Databases/Big Data Tools: SQL, Hadoop, MapReduce, Hive, Pig, Spark, AWS Glue, Pentaho, NoSQL,CosmosDB (Document, Key-Value, Column, Graph) Data Analysis / Visualization: Tableau, SAS Base, SAS Enterprise Miner, SAS JMP, RStudio, Power BI, DAX, Power Query, Excel (vLookUps, Pivot Tables) Repositories / SDLC Tools: Azure DevOps,Team Foundation Server, VSTS, Git, Bit Bucket, JIRA, Trello, Confluence, IIS, Postman, Fiddler, Scrum, Agile Statistical and Analytical Skills: Data Ingestion, Data Cleaning, Data Mining, Data Warehousing, Machine Learning Algorithms, Time Series Forecasting, Sentiment Analysis, Segmentation & Clustering, Text Analytics, A/B testing, Data Governance, Data Quality, RDBMS Project Management Course Work: Basics of Project Management, Project Risk & Cost Management, Kanban, Scrum, Waterfall Methodologies
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