Chetan Ambi

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About Chetan Ambi

Member Since July 31, 2018, 4:09 p.m.
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Participated in Club Mahindra DataOlympics and secured rank 323
Participated in AmExpert 2019 – Machine Learning Hackathon and secured rank 323
Participated in WNS Analytics Wizard 2019 and secured rank 16
Participated in Innoplexus Online Hiring Hackathon: Saving lives with AI and secured rank 143
Participated in LTFS Data Science FinHack ( ML Hackathon) and secured rank 88
Participated in Dataverse Hack and secured rank 323
Participated in LTFS Data Science FinHack 2 and secured rank 14
Participated in WNS Analytics Wizard 2018 (Machine Learning Hackathon) and secured rank 986
Participated in Practice Problem: Intel Scene Classification Challenge and secured rank 110
Participated in JOB-A-THON and secured rank 324
Participated in Genpact Machine Learning Hackathon and secured rank 697
Participated in Game of Deep Learning: Computer Vision Hackathon and secured rank 22
Participated in AmExpert 2018 (Machine Learning Hackathon) and secured rank 692
Participated in DataHour: Deep Dive into Kubernetes and Concepts of Containerization
Participated in DataHour: Basics of Big Data File Formats
Participated in DataHour: Google Cloud Vertex AI Platform
Participated in DataHour: Apache Airflow - An Open Source Workflow Manager
Participated in DataHour: Data Availability Through Data Lake in Large Organization
Participated in DataHour: Caching in Data Science
Participated in DataHour: Dataflow on Google Cloud
Participated in DataHour: How Companies Use SQL to Extract Meaningful Insights Through Data?
Participated in DataHour: Analyzing Data with SQL
Participated in DataHour: Building a Web Application using Flask
Participated in DataHour: Google Cloud No Code/Low Code AI Solutions
Participated in DataHour: Roadmap to Data Engineering for Beginners
Participated in DataHour: Data Architect vs Data Engineer
Participated in DataHour: Building Effective Data Pipelines
Participated in DataHour: Deep Dive into Airflow Components
Participated in DataHour: An Introduction to Spark for Data Engineering
Participated in DataHour: Optimizing Real-Time ML Inference with Nvidia Triton Inference Server
Participated in DataHour: Making Data Pipelines Easy with Dataproc and Composer
Participated in DataHour: Introduction to Docker
Participated in DataHour: Data Engineering - Tools and Techniques
Participated in DataHour: Build Apache Nifi using Serverless Cloud Infrastructure
Participated in DataHour: Data Engineering in a Nutshell
Participated in Community Meet: Rise of Super AI (Bengaluru Chapter)
Participated in ML Hikeathon (An Online Machine Learning Hackathon)
Participated in Age Detection of Actors
Participated in Webinar : How to Become a Data Scientist in 2019
Participated in Twitter Sentiment Analysis
Participated in Joke Rating Prediction
Participated in Webinar: Introduction to TensorFlow with Intel Optimizations
Participated in Identify the Sentiments
Participated in Predict Number of Upvotes
Participated in Webinar How to Get Started with your Data Science Career
Participated in Webinar: How to Get Started with Natural Language Processing (NLP)
Participated in Capillary Machine Learning Hackathon
Participated in Webinar: Deep Learning and its Applications
Participated in Tredence (SQL Hackathon): Hack and Get Hired
Participated in JanataHack: Machine Learning for IoT
Participated in HR Analytics and secured rank 986
Participated in Webinar: Building products in the AI era
Participated in Webinar: Streaming Analytics - Future of Every Application
Participated in Webinar: Build a Recommendation Engine for Retail Data
Participated in Webinar: Problem Solving using AI - The QuantumBlack Story
Participated in QuantumBlack Hackathon
Participated in India ML Hiring Hackathon 2019
Participated in JanataHack: Mobility Analytics
Participated in Janata Hack - Machine Learning Hackathon to support Janata Curfew
Participated in Black Friday Sales Prediction
Participated in Online Challenge: Build A Recommendation Engine (Powered by IBM Cloud)
Participated in JanataHack: NLP Hackathon
Participated in Identify the apparels (Fashion MNIST)
Participated in Food Demand Forecasting
Participated in Machine Learning Starter Program Hackathon
Participated in JanataHack - E-Commerce Analytics ML Hackathon
Participated in Janatahack: Machine Learning in Agriculture
Participated in JanataHack: Time Series Forecasting
Participated in JanataHack: HR Analytics
Participated in Janatahack: Healthcare Analytics
Participated in JanataHack: Machine Learning for Banking
Participated in Janatahack: Healthcare Analytics II
Participated in JanataHack: Recommendation Systems
Participated in JanataHack: Demand Forecasting
Participated in Janatahack: Customer Segmentation
Participated in Janatahack: Independence Day 2020 ML Hackathon
Participated in HackLive - Guided Community Hackathon!
Participated in Data Science Blogathon
Participated in Webinar: Career Transition Into Data Science
Participated in Janatahack: Cross-sell Prediction
Participated in Recommendation Engine
Participated in HackLive 2 - Guided Community Hackathon!
Participated in Time Series Forecasting
Participated in LTFS Data Science FinHack 3
Participated in Hack4Retail by McKinsey & Company and Fozzy Group
Participated in Big Mart Sales Prediction
Participated in Dataverse Hack: Build an AI Model to Save Lives
Participated in Loan Prediction
Participated in Identify the Digits (MNIST)
Participated in DataHour: Building Cloud Native Data Pipelines
Participated in DataHour: Get Started with Hadoop
Participated in DataHour: Data Modelling Demystified
Participated in DataHour: Cloud Dataproc - Migrate and Optimize Spark Workloads
Participated in DataHour: An Introduction to Apache Airflow
Participated in DataHour: An Introduction to Big Data Processing using Apache Spark
Participated in DataHour: Google BigQuery - The Modern Cloud Data Warehouse
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