arunprakash

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About arunprakash

Member Since March 19, 2016, 12:51 a.m.
Location Chennai
Area of Interest Python, Machine Learning, Deep Learning

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Participated in AmExpert 2018 (Machine Learning Hackathon) and secured rank 830
Participated in Game of Deep Learning: Computer Vision Hackathon and secured rank 37
Participated in Strategic Sprint Mar 2017 and secured rank 203
Participated in Capillary Machine Learning Hackathon and secured rank 172
Participated in MLWARE 1 - Text Mining Challenge and secured rank 30
Participated in Skilltest: Regression and secured rank 489
Participated in WNS Analytics Wizard 2018 (Machine Learning Hackathon) and secured rank 120
Participated in Codefest: Linguipedia and secured rank 28
Participated in Club Mahindra DataOlympics and secured rank 164
Participated in McKinsey Analytics Online Hackathon and secured rank 63
Participated in Innoplexus Online Hiring Hackathon: Saving lives with AI and secured rank 64
Participated in Practice Problem: Intel Scene Classification Challenge and secured rank 49
Participated in McKinsey Analytics Online Hackathon and secured rank 20
Participated in Codefest: Enigma and secured rank 91
Participated in LTFS Data Science FinHack ( ML Hackathon) and secured rank 229
Participated in The Young Optimization Crackerjack Contest by IEOR @ IITB & McKinsey Knowledge Centre India
Participated in The Ultimate Student Hunt
Participated in Student Hunt 2017
Participated in Experiments with Data
Participated in MiniHack: Machine Learning
Participated in The Strategic Monk
Participated in The Strategic Ball
Participated in Click Prediction Hackathon
Participated in Black Friday Sales Prediction
Participated in #AVdatafest Rampaging DataHulk: Machine Learning Mini-Hack
Participated in Enigma codeFest Machine Learning
Participated in VISTA codeFest Computer Vision
Participated in Linguipedia codeFest Natural Language Processing
Participated in JanataHack: NLP Hackathon
Participated in Genpact Machine Learning Hackathon
Participated in Fractal Analytics Hiring Hackathon
Participated in Identify the Sentiments
Participated in Predict Number of Upvotes
Participated in JanataHack: Time Series Forecasting
Participated in AmExpert 2019 – Machine Learning Hackathon
Participated in ML Hikeathon (An Online Machine Learning Hackathon)
Participated in Online Challenge: Build A Recommendation Engine (Powered by IBM Cloud)
Participated in HR Analytics and secured rank 120
Participated in WNS Analytics Wizard 2019
Participated in QuantumBlack Hackathon
Participated in India ML Hiring Hackathon 2019
Participated in JanataHack: Machine Learning for IoT
Participated in Recommendation Engine
Participated in Food Demand Forecasting
Participated in LTFS Data Science FinHack 2
Participated in Janata Hack - Machine Learning Hackathon to support Janata Curfew
Participated in Felicity : Kings of Machine Learning
Participated in Data Hack Round 1: Online Quiz (Nirvahana, By iQ’oniQ, NMIMS Hyderabad)
Participated in Lord of the Machines: Data Science Hackathon
Participated in JanataHack - E-Commerce Analytics ML Hackathon
Participated in Janatahack: Healthcare Analytics II
Participated in JanataHack: HR Analytics
Participated in Janatahack: Customer Segmentation
Participated in JanataHack: Mobility Analytics
Participated in JanataHack: Machine Learning for Banking
Participated in Janatahack: Healthcare Analytics
Participated in JanataHack: Recommendation Systems
Participated in LTFS Data Science FinHack 3
Participated in JanataHack: Demand Forecasting
Participated in Practice Problem: Urban Sound Classification
Participated in Janatahack: Machine Learning in Agriculture
Participated in Janatahack: Independence Day 2020 ML Hackathon
Participated in Janatahack: Cross-sell Prediction
Participated in DataHour: Think like a Data Scientist
Participated in Hack4Retail by McKinsey & Company and Fozzy Group
Participated in Big Break in Big Data: Sapient Talent Hunt for Data Engineers
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: SQL- One of the Key Ingredients for Data Science
Participated in DataHour: Introduction to Optimization Problems for Data Scientists
Participated in DataHour: Computer Vision Landscape
Participated in Learn to Build an Artificial Intelligence Model with Kaggle Grandmasters
Participated in DataHour: An Introduction and Hands-On to Named Entity Recognition
Participated in DataHour: Hands-on with Social Network Analysis
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: Understanding Search Query
Participated in DataHour: Smart Machine Learning Solution Based on Ontology and Knowledge Graph
Participated in DataHour: Making Sense of Clinical Text Data at Scale with NLP
Participated in DataHour: Understanding AWS Virtual Private Cloud(VPC) Concepts
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: 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 Age Detection of Actors
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 Face Counting Challenge
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: 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
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