Pulkit Mehta

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About Pulkit Mehta

Member Since April 11, 2019, 2:55 p.m.
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Area of Interest Data Science, Machine Learning, Deep Learning

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Participated in JanataHack: Machine Learning for Banking and secured rank 13
Participated in Janatahack: Customer Segmentation and secured rank 52
Participated in Club Mahindra DataOlympics and secured rank 726
Participated in Janatahack: Independence Day 2020 ML Hackathon and secured rank 89
Participated in AmExpert 2019 – Machine Learning Hackathon and secured rank 348
Participated in Online Challenge: Build A Recommendation Engine (Powered by IBM Cloud) and secured rank 73
Participated in Janatahack: Healthcare Analytics and secured rank 56
Participated in JanataHack: Mobility Analytics and secured rank 74
Participated in Janatahack: Machine Learning in Agriculture and secured rank 52
Participated in QuantumBlack Hackathon and secured rank 36
Participated in JanataHack: Machine Learning for IoT and secured rank 1
Participated in JanataHack: Recommendation Systems and secured rank 138
Participated in JanataHack: HR Analytics and secured rank 14
Participated in LTFS Data Science FinHack 2 and secured rank 413
Participated in Janatahack: Healthcare Analytics II and secured rank 100
Participated in WNS Analytics Wizard 2019 and secured rank 217
Participated in DataHour: From Pixels to Insights- Practical Hands-on with Convolutional Neural Networks
Participated in DataHour: Deep Dive into Kubernetes and Concepts of Containerization
Participated in DataHour: Basics of Big Data File Formats
Participated in DataHour: Implementing Gradient Descent in Python
Participated in DataHour: Google Cloud Vertex AI Platform
Participated in DataHour: Hands-on Journey to Neural Networks
Participated in DataHour: Apache Airflow - An Open Source Workflow Manager
Participated in DataHour: Data Availability Through Data Lake in Large Organization
Participated in DataHour: How to Build a Multi Task Model using TensorFlow
Participated in DataHour: Deep Learning for Time Series Forecasting
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: A Simple Guide to Deep Metric Learning
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: Contrastive Learning for Image Classification
Participated in DataHour: Data Architect vs Data Engineer
Participated in DataHour: An Introduction to Vision for Robotics
Participated in DataHour: An Overview of Computer Vision
Participated in DataHour: Building Effective Data Pipelines
Participated in DataHour: Introduction to Deep Learning with FastAI
Participated in DataHour: Deep Dive into Airflow Components
Participated in DataHour: Demystifying RCNN Family for Object Detection
Participated in DataHour: An Introduction to Spark for Data Engineering
Participated in DataHour: Implementing a Neural Network using Pytorch
Participated in DataHour: Optimizing Real-Time ML Inference with Nvidia Triton Inference Server
Participated in DataHour: An Introduction to Google Vision API
Participated in DataHour: Understanding Stable Diffusion & Prompt Engineering
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: Image Classification using Deep Learning Models
Participated in DataHour: Build Apache Nifi using Serverless Cloud Infrastructure
Participated in DataHour: Data Engineering in a Nutshell
Participated in DataHour: Building Efficient Convolution Networks for Image Classification Tasks
Participated in Identify the Digits (MNIST)
Participated in Age Detection of Actors
Participated in Webinar: Problem Solving using AI - The QuantumBlack Story
Participated in Webinar: Introduction to Time Series Modeling – A Must-Know Concept for Data Scientists
Participated in Identify the apparels (Fashion MNIST)
Participated in Black Friday Sales Prediction
Participated in Big Mart Sales Prediction
Participated in HR Analytics
Participated in Webinar: Build a Recommendation Engine for Retail Data
Participated in Practice Problem: Urban Sound Classification
Participated in Food Demand Forecasting
Participated in Webinar: Streaming Analytics - Future of Every Application
Participated in Identify the Sentiments
Participated in India ML Hiring Hackathon 2019
Participated in Janata Hack - Machine Learning Hackathon to support Janata Curfew
Participated in Analytics Vidhya Hiring Hackathon
Participated in HackLive 4: Guided Community Hackathon!
Participated in Webinar: Business Analytics Isn't Just About Model Building
Participated in Webinar: Problem Solving In Business Analytics and Data Science
Participated in Loan Prediction
Participated in Game of Deep Learning: Computer Vision Hackathon
Participated in JanataHack: Demand Forecasting
Participated in Face Counting Challenge
Participated in Twitter Sentiment Analysis
Participated in HackLive - Guided Community Hackathon!
Participated in HackLive 2 - Guided Community Hackathon!
Participated in Janatahack: Cross-sell Prediction
Participated in LTFS Data Science FinHack 3
Participated in DataHour: Think like a Data Scientist
Participated in DataHour: Efficient Implementations of Transformers
Participated in DataHour: Deep Dive into Graph Neural Nets for Content NLP
Participated in DataHour: MLOps—DevOps for Machine Learning
Participated in DataHour: Data Modeling Concepts
Participated in DataHour: ML oops to MLOps!
Participated in DataHour: Introduction to Network Science
Participated in DataHour: Next Leap - Data Science Adoption to Application
Participated in DataHour: Introduction to Optimization Problems for Data Scientists
Participated in DataHour: SQL- One of the Key Ingredients for Data Science
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: Practical Applications of Data science in Ecommerce
Participated in DataHour: The Fundamentals of Quantum Computing
Participated in DataHour: Explainable AI - Need and Implementation
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 Dataverse Hack: Build an AI Model to Save Lives
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: Time Series analysis using LSTM
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: Convolution Neural Network for Image Recognition
Participated in DataHour: When Airflow Meets Kubernetes - An Introduction to MLOps
Participated in DataHour: Data Engineering with Databricks
Participated in DataHour: Diffusion Models for Generative Arts
Participated in DataHour: Understanding the Basics of a Neural Network
Participated in Time Series Forecasting
Participated in DataHour: GANs Revolutionizing the World!
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: Building & Deploying Deep Learning Models for Sentiment Analysis
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: Exploring the Fundamentals of DeepMatch
Participated in DataHour: YOLO Object Detection using Python
Participated in DataHour: An Introduction to Big Data Processing using Apache Spark
Participated in DataHour: Training Your First PyTorch Model
Participated in DataHour: Google BigQuery - The Modern Cloud Data Warehouse
Participated in DataHour: Deploying Models for Sentiment Analysis on Cloud
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