shahir

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About shahir

Member Since March 7, 2018, 1:51 p.m.
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Participated in Club Mahindra DataOlympics and secured rank 627
Participated in WNS Analytics Wizard 2018 (Machine Learning Hackathon) and secured rank 629
Participated in ML Hikeathon (An Online Machine Learning Hackathon) and secured rank 148
Participated in Enigma codeFest Machine Learning and secured rank 185
Participated in McKinsey Analytics Online Hackathon - Healthcare Analytics and secured rank 212
Participated in JanataHack: Demand Forecasting and secured rank 201
Participated in WNS Analytics Wizard 2019 and secured rank 591
Participated in AmExpert 2019 – Machine Learning Hackathon and secured rank 606
Participated in Genpact Machine Learning Hackathon and secured rank 248
Participated in Lord of the Machines: Data Science Hackathon and secured rank 146
Participated in Innoplexus Online Hiring Hackathon: Saving lives with AI and secured rank 82
Participated in LTFS Data Science FinHack ( ML Hackathon) and secured rank 591
Participated in AmExpert 2018 (Machine Learning Hackathon) and secured rank 607
Participated in McKinsey Analytics Online Hackathon and secured rank 803
Participated in JOB-A-THON and secured rank 1176
Participated in WNS Triange Hackquest
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 DataHack Premier League 2018
Participated in Predict Number of Upvotes and secured rank 185
Participated in McKinsey Analytics Online Hackathon- Recommendation Design
Participated in Webinar on Careers in Artificial Intelligence: How to prepare for the future
Participated in Webinar: Accelerate Deep Learning Inference using OpenVINO Toolkit
Participated in Twitter Sentiment Analysis
Participated in Online Challenge: Build A Recommendation Engine (Powered by IBM Cloud)
Participated in Webinar: How to Get Started with Natural Language Processing (NLP)
Participated in JanataHack: Time Series Forecasting
Participated in Food Demand Forecasting
Participated in Capillary Machine Learning Hackathon
Participated in Tredence (SQL Hackathon): Hack and Get Hired
Participated in Webinar: Deep Learning and its Applications
Participated in Webinar: Introduction to Time Series Modeling – A Must-Know Concept for Data Scientists
Participated in Webinar: Build a Recommendation Engine for Retail Data
Participated in Webinar: Build your first BI Report with Power BI
Participated in HR Analytics and secured rank 629
Participated in India ML Hiring Hackathon 2019
Participated in Innoplexus Online Hackathon: Machine Learning Challenge
Participated in Webinar: Getting Started with Recommendation Engines
Participated in JanataHack: Machine Learning for IoT
Participated in LTFS Data Science FinHack 2
Participated in Janata Hack - Machine Learning Hackathon to support Janata Curfew
Participated in JanataHack: Recommendation Systems
Participated in JanataHack: HR Analytics
Participated in Webinar: Problem Solving In Business Analytics and Data Science
Participated in JanataHack: Mobility Analytics
Participated in Janatahack: Healthcare Analytics II
Participated in JanataHack: Machine Learning for Banking
Participated in Janatahack: Cross-sell Prediction
Participated in Janatahack: Healthcare Analytics
Participated in Janatahack: Machine Learning in Agriculture
Participated in Janatahack: Independence Day 2020 ML Hackathon
Participated in LTFS Data Science FinHack 3
Participated in Crash Course: Writing Data Science Articles that Grab your Reader’s Attention
Participated in 2nd Global AI Conclave 2021
Participated in Webinar: Introduction to Recommendation Systems using Deep Learning
Participated in DataHour: Think like a Data Scientist
Participated in Big Break in Big Data: Sapient Talent Hunt for Data Engineers
Participated in JOB-A-THON - May 2021 and secured rank 2265
Participated in Time Series Forecasting
Participated in Janatahack: Customer Segmentation
Participated in Big Mart Sales Prediction
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: Writing Reusable and Reproducible Pipelines for Training Neural Networks
Participated in DataHour: Introduction to MLOps
Participated in DataHour: Causal Inference in Practice
Participated in DataHour: Introduction to Interpretable Machine Learning
Participated in DataHour: Building NLP applications using Hugging Face
Participated in DataHour: An Introduction and Hands-On to Named Entity Recognition
Participated in DataHour: SQL- One of the Key Ingredients for Data Science
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: 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: MLOps—DevOps for Machine Learning
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: Getting Started with EDA tools - Numpy and Pandas
Participated in DataHour: Explainable AI - Need and Implementation
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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