Chandra

Chandra Shekhar

Hackathons
110
Rank
96
Points
Participated in WNS Triange Hackquest
Participated in Janatahack: Healthcare Analytics II
Participated in Janatahack: Cross-sell Prediction
Participated in HackLive 3: Guided Hackathon - NLP
Participated in JanataHack: Machine Learning for Banking
Participated in Janatahack: Machine Learning in Agriculture
Participated in LTFS Data Science FinHack 3
Participated in HackLive 4: Guided Community Hackathon!
Participated in DataHour: Geospatial Data Analysis
Participated in DataHour: Exploratory Data Analysis using Matplotlib and Seaborn
Participated in DataHour: Comparative Analysis in Qlik Sense
Participated in DataHour: Data Visualization in 3D with Unity 3D
Participated in DataHour: Visualising Geospatial Data in Python Using Geopandas
Participated in JanataHack - E-Commerce Analytics ML Hackathon
Participated in Loan Prediction
Participated in Data Science Blogathon 5
Participated in Identify the Digits (MNIST)
Participated in AmExpert 2019 – Machine Learning Hackathon
Participated in JanataHack: Time Series Forecasting
Participated in Joke Rating Prediction
Participated in Time Series Forecasting
Participated in JanataHack: Mobility Analytics
Participated in Janata Hack - Machine Learning Hackathon to support Janata Curfew
Participated in JanataHack: Machine Learning for IoT
Participated in JanataHack: HR Analytics
Participated in Machine Learning Starter Program Hackathon
Participated in Janatahack: Customer Segmentation
Participated in HackLive 2 - Guided Community Hackathon!
Participated in HackLive - Guided Community Hackathon!
Participated in JanataHack: Recommendation Systems
Participated in Share & Empower
Participated in JanataHack: Demand Forecasting
Participated in Data Science Blogathon 4
Participated in Janatahack: Healthcare Analytics
Participated in Janatahack: Independence Day 2020 ML Hackathon
Participated in Identify the Sentiments
Participated in Data Science Blogathon III
Participated in Data Science Blogathon II
Participated in Data Science Blogathon
Participated in Twitter Sentiment Analysis
Participated in Data Science Blogathon - 6
Participated in Data Science Blogathon - 19
Participated in Data Science Blogathon - 10
Participated in Data Science Blogathon - 11
Participated in DataHour: Think like a Data Scientist
Participated in Data Science Blogathon - 13
Participated in DataHour: SQL- One of the Key Ingredients for Data Science
Participated in AmExpert 2021 – Machine Learning Hackathon
Participated in Hack4Retail by McKinsey & Company and Fozzy Group
Participated in DataHour: Deploying Deep Learning model to production using FastAPI & Docker
Participated in DataHour: Improving Search Results with Semantic Search
Participated in DataHour: Introduction to Network Science
Participated in DataHour: Efficient Implementations of Transformers
Participated in Football Hackathon
Participated in Data Science Blogathon - 20
Participated in DataHour: ML oops to MLOps!
Participated in Skill Test: Python for Data Science
Participated in Data Science Blogathon - 21
Participated in Dataverse Hack: Build an AI Model to Save Lives
Participated in Machine Learning Summer Training Hackathon
Participated in Machine Learning Summer Training
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: An Introduction and Hands-On to Named Entity Recognition
Participated in DataHour: Everything you need to know about Speech Recognition
Participated in DataHour: Hands-on with Social Network Analysis
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: MLOps—DevOps for Machine Learning
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: 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 DataHour: Building Data Pipelines on GCP
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: How to Build Interactive Dashboards using Power BI and Excel
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: 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: Data Visualization in Data Science
Participated in DataHour: Master Yourself in Google Analytics
Participated in DataHour: Towards Data Storytelling
Participated in Dataverse Hack
Participated in DataHour: Introduction to DAX and Case Study
Participated in DataHour: Visualizing Data with Python
Participated in DataHour: Solving BI challenges with Power BI & Automate
Participated in DataHour: Power-up Data Insights Leveraging Power BI
Participated in DataHour: Automate Repetitive Tasks using Excel VBA
Participated in DataHour: Building Python Dashboard using Plotly Dash

Experience