Rohit_1003

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About Rohit_1003

Member Since Oct. 2, 2016, 12:06 a.m.
Location Bangalore
Area of Interest PL/SQL, SAP HANA, SAP DS, little bit of R

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Participated in Skilltest: Regression and secured rank 298
Participated in The Strategic Saviour and secured rank 426
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 Lord of the Machines: Data Science Hackathon
Participated in #AVdatafest DATAHACK HOUR
Participated in Skilltest: SQL
Participated in Practice Problem: Skilltest - Machine Learning
Participated in Experiments with Data
Participated in Practice Problem: Strategic Thinking II
Participated in Big Mart Sales Prediction
Participated in #AVdatafest Webinar: Tips For Securing Funding For Analytics Start-Up
Participated in JanataHack: NLP Hackathon
Participated in Webinar : How to Become a Data Scientist in 2019
Participated in Loan Prediction
Participated in Webinar: Introduction to Time Series Modeling – A Must-Know Concept for Data Scientists
Participated in Webinar: Deep Learning and its Applications
Participated in Webinar: Problem Solving using AI - The QuantumBlack Story
Participated in Webinar: How to crack Big Data & Data Science Role?
Participated in JanataHack: Mobility Analytics
Participated in JanataHack: Machine Learning for IoT
Participated in LTFS Data Science FinHack 2
Participated in #AVdatafest PowerTool: SQL
Participated in Webinar: Introduction to Qlik Sense
Participated in Janatahack: Healthcare Analytics II
Participated in JanataHack: Time Series Forecasting
Participated in JanataHack: HR Analytics
Participated in JanataHack: Machine Learning for Banking
Participated in JanataHack: Demand Forecasting
Participated in JanataHack: Recommendation Systems
Participated in Janatahack: Healthcare Analytics
Participated in Janatahack: Customer Segmentation
Participated in Janatahack: Machine Learning in Agriculture
Participated in Janatahack: Independence Day 2020 ML Hackathon
Participated in Janatahack: Cross-sell Prediction
Participated in LTFS Data Science FinHack 3
Participated in 2nd Global AI Conclave 2021
Participated in DataHour: Think like a Data Scientist
Participated in Data Science Masterclass - Designing your First Dashboard in Tableau
Participated in DataHour: Deploying Deep Learning model to production using FastAPI & Docker
Participated in DataHour: Improving Search Results with Semantic Search
Participated in DataHour: Efficient Implementations of Transformers
Participated in DataHour: Introduction to Network Science
Participated in DataHour: ML oops to MLOps!
Participated in DataHour: Building Scalable, Secure and Responsible AI Solutions in Azure
Participated in DataHour: Introduction to MLOps
Participated in DataHour: Causal Inference in Practice
Participated in DataHour: Writing Reusable and Reproducible Pipelines for Training Neural Networks
Participated in DataHour: Introduction to Interpretable Machine Learning
Participated in DataHour: Building NLP applications using Hugging Face
Participated in DataHour: SQL- One of the Key Ingredients for Data Science
Participated in DataHour: An Introduction and Hands-On to Named Entity Recognition
Participated in DataHour: Hands-on with Social Network Analysis
Participated in Learn to Build an Artificial Intelligence Model with Kaggle Grandmasters
Participated in DataHour: Introduction to Optimization Problems for Data Scientists
Participated in DataHour: Hands-on with Data Analysis Expressions(DAX) for Power BI
Participated in DataHour: Deep Learning - Maths Behind Back-Propagation
Participated in DataHour: Everything you need to know about Speech Recognition
Participated in DataHour: MLOps—DevOps for Machine Learning
Participated in DataHour: Feature Engineering on Images using Convolutional Neural Networks(CNN)
Participated in DataHour: Building AI Applications in Minutes
Participated in DataHour: Real-world Applications of Data science
Participated in DataHour: Bias and Fairness in NLP
Participated in DataHour: Next Leap - Data Science Adoption to Application
Participated in DataHour: Data Modeling Concepts
Participated in DataHour: Understanding Search Query
Participated in DataHour: Smart Machine Learning Solution Based on Ontology and Knowledge Graph
Participated in DataHour: Computer Vision Landscape
Participated in DataHour: Making Sense of Clinical Text Data at Scale with NLP
Participated in DataHour: Analyzing Movie Data using MongoDB
Participated in DataHour: Designing an end-to-end Neural Search Pipeline with Similarity Learning
Participated in DataHour: Data Visualization using Python
Participated in DataHour: Understanding AWS Virtual Private Cloud(VPC) Concepts
Participated in DataHour: Introduction to Explainable AI (XAI)
Participated in DataHour: Leveraging GCP Vertex AI for Machine Learning
Participated in DataHour: Quantum Computing Simulator Acceleration
Participated in DataHour: Stirring up Data Science with SQL
Participated in DataHour: Prediction to Production in Machine Learning
Participated in DataHour: Trees of Data Science
Participated in DataHour: Dynamic Time Warping for Time Series Classification
Participated in DataHour: Deep Dive into Practical Machine Learning with Career Insights
Participated in DataHour: Data Operations on Azure
Participated in DataHour: Jumpstart your Career with AWS AI/ML
Participated in DataHour: Nirvana State of MLOps
Participated in DataHour: Introduction to GAN - A Practical Approach
Participated in DataHour: Product Oriented Data Scientists
Participated in DataHour: Key steps for Designing Deep Neural Network and its scope in Industry
Participated in DataHour: Anomaly detection using NLP and Predictive Modeling
Participated in DataHour: Data Science in Retail
Participated in DataHour: Data Science Data management using Pandas
Participated in DataHour: Mitigating Bias in Machine Learning
Participated in DataHour: Google Cloud AI/ML
Participated in DataHour: Forecasting Stories
Participated in DataHour: Energy Data Science - Project From Scratch
Participated in DataHour: Explainable AI - Need and Implementation
Participated in DataHour: Getting Started with EDA tools - Numpy and Pandas
Participated in DataHour: Practical Applications of Data science in Ecommerce
Participated in DataHour: The Fundamentals of Quantum Computing
Participated in DataHour: How to tackle Overfitting?
Participated in DataHour: Hands-on with A/B Testing
Participated in DataHour: Key steps for Designing Artificial Neural Network (ANN) for Image classification
Participated in DataHour: Building Data Pipelines on GCP
Participated in DataHour: An Introduction to AWS EMR
Participated in DataHour: Modern Deep Learning Architecture
Participated in DataHour: 5 things you should know about Azure SQL
Participated in DataHour: Prediction to Production in Machine Learning
Participated in DataHour: Introduction To BigQuery ML
Participated in DataHour: AI & ML in the Automotive Industry
Participated in DataHour: ETL Pipelines in GCP
Participated in DataHour: Knowledge Graph Solutions using Neo4j
Participated in DataHour: Practical Time Series Analysis
Participated in DataHour: Building Machine Learning Models in BigQuery
Participated in DataHour: Getting Started with Big Data
Participated in DataHour: Key steps for Designing Convolutional Neural Network(CNN) for Image Classification
Participated in DataHour: DCNN for Machine RUL Prediction using Time-series Data
Participated in DataHour: A Day in the Life of a Data Scientist
Participated in DataHour: Classification ML Model from Scratch
Participated in DataHour: NLP aspects in Telecommunication Industry
Participated in DataHour: Intelligent Knowledge Mining with Azure NLP and Graph databases
Participated in DataHour: Visualizing Data using Python
Participated in DataHour: Getting Started with AWS EC2
Participated in DataHour: Model Guesstimation (MLOps)
Participated in DataHour: An Unsupervised ML approach using Clustering
Participated in DataHour: M in ML stands for Math & Magic
Participated in DataHour: Model Parameters vs Hyperparameters - Techniques in ML Engineering
Participated in DataHour: Customizing Large Language Models GPT3 for Real-life Use Cases
Participated in DataHour: When Airflow Meets Kubernetes - An Introduction to MLOps
Participated in DataHour: Data Engineering with Databricks
Participated in DataHour: Data Warehouse and its importance in Data World
Participated in DataHour: Predicting Road Quality using AI - An MLOps Demo Pipeline
Participated in DataHour: SQL - Intermediate to Advanced
Participated in DataHour: Big Data Architecture and the Best Practices on AWS
Participated in DataHour: Introduction to Dimensional Data Modelling
Participated in DataHour: Advance SQL - Analytics/Windows Functions
Participated in DataHour: Cloud Dataproc - Migrate and Optimize Spark Workloads
Participated in DataHour: Building Cloud Native Data Pipelines
Participated in DataHour: Data Modelling Demystified
Participated in DataHour: Get Started with Hadoop
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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