[email protected]

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About [email protected]

Member Since Oct. 2, 2015, 9:23 a.m.
Location Hyderabad
Area of Interest Data Science, R, Hadoop, Spark, Machine Learning, Big Data Analytics

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Participated in #AVdatafest Rampaging DataHulk: Machine Learning Mini-Hack and secured rank 50
Participated in #AVdatafest SkillPower: Machine Learning and secured rank 147
Participated in #AVdatafest SkillPower: Deep Learning and secured rank 164
Participated in Skilltest: Regression and secured rank 389
Participated in #AVdatafest: The Strategic Thor and secured rank 135
Participated in #AVdatafest The QuickSolver : Machine Learning Mini-Hack and secured rank 43
Participated in Skilltest: Tree Based Models and secured rank 162
Participated in Skilltest: k-Nearest Neighbor (kNN) and secured rank 160
Participated in Skilltest : R for Data Science and secured rank 470
Participated in DataHour: LLM Fine-tuning for Beginners with Unsloth
Participated in DataHour: Large Language Models: Foundation, Evolution and Applications
Participated in DataHour: Introduction to Serving Machine Learning Models as Microservices
Participated in DataHour: Innovative Applications of Artificial Intelligence
Participated in DataHour: Real-World REST APIs with Docker Containers
Participated in DataHour: Building Robust RAG Applications for the Real-World
Participated in DataHour: Evaluating LLMs and LLM Systems : Pragmatic Approach
Participated in DataHour: Rust and Python in the age of LLMOps
Participated in DataHour: Full-Stack Data Science with FastAPI
Participated in Better Data Understanding Through GenAI Powered Search
Participated in DataHour: Empowering Stakeholders: With Supercharged & Functional Tableau Dashboard
Participated in DataHour: Responsible Use of Generative AI
Participated in DataHour: Creating Delightful Customer Experience with RAG
Participated in DataHour: The Future of GenAI
Participated in DataHour: Data Curation and Reliability for LLM and GenAI Applications
Participated in DataHour: Should I Use RAG or Fine-Tuning?
Participated in DataHour: How to Customize and Evaluate Your LLMs
Participated in DataHour: Natural Language to SQL Translation: The Challenges, Evolution and Future
Participated in DataHour:LangChain 101
Participated in DataHour: Building Generative AI Applications using Amazon Bedrock
Participated in DataHour: Demystifying HugginFace, LlamaIndex, and LangChain
Participated in DataHour: Enterprise Challenges with Generative AI and LLMs
Participated in DataHour: ML Model Deployment: Best MLOps and GitOps Practices
Participated in DataHour: Open-Source For Accelerating AI Development
Participated in DataHour: Implementing Gen AI solutions with RAG Architecture
Participated in DataHour: Predictive Analytics - Performance Estimation without the Target Data
Participated in DataHour: Build Your Own Private ChatBot using GenAI- RAG
Participated in DataHour: Relationship of ML and Statistics - Optimizing Algorithmic Functions
Participated in DataHour: Natural Language to SQL: Analyzing Netflix Movies with LLMs
Participated in DataHour: Search With ChatGPT: RAG and Semantic Search
Participated in DataHour: Mastering Conversational AI: Building Question-Answer Bot with LLM and RAG
Participated in DataHour: Creating Synthetic Data: An Easy Python Tutorial for Beginners
Participated in DataHour: Interpreting Machine Learning Models with Python
Participated in DataHour: Significance of Vector Databases in Gen AI
Participated in DataHour: Model Explainability and Model Diagnosis
Participated in DataHour: Large Language Models for India
Participated in DataHour: Introduction to Convolutional Neural Networks
Participated in DataHour: Visualizing Insights: Understanding Data Visualization Techniques
Participated in DataHour: Creating Advanced & Large-Scale Recommendation System
Participated in DataHour: Building a Simple LLM Application: ChatGPT Summarizer
Participated in DataHour: Building Safe AI Experiences with Azure AI Content Safety
Participated in DataHour: Fighting Customer Churn with Data Science, Analytics & Machine Learning
Participated in DataHour: End-to-End Development: LLMOps and Azure AI for Generative Apps
Participated in DataHour: Crafting and Implementing a GenAI Strategy with StratOps
Participated in DataHour: ML Based Manufacturing Quality Inspection
Participated in DataHour: Generative AI / LLMs using Databricks Data Intelligence Platform
Participated in DataHour: Introduction to Time Series Analysis
Participated in DataHour: Keeping LLMs Relevant: A Practical Guide to RAG and Fine-tuning
Participated in DataHour: Navigating the Maze of A/B Testing Pitfalls in Business Decision Making
Participated in DataHour: LLMOps - MLOps for Generative AI
Participated in DataHour: Harnessing LLMs: Exploring Controllable Text Generation Without Fine-Tuning
Participated in DataHour: Custom GPTs in Industry: Assessing GPT-4V
Participated in DataHour: LLMs in Action: Crafting a Winning Product Strategy
Participated in DataHour: Large Language Models- Evolution, Challenges and Way Forward
Participated in DataHour: Multi-Modal RAG and Evaluation with LlamaIndex
Participated in DataHour: NoSQL: Leveraging Large Language Models for Text2SQL
Participated in DataHour: Optimizing LLMs with Retrieval Augmented Generation and Haystack 2.0
Participated in DataHour: High Impact AI/ML Solutions by Effective Formulation
Participated in DataHour: Democratising AI Deployment
Participated in DataHour: LLM Training Tips & Tricks
Participated in DataHour: MemeGPT: Fine-Tuning LLMs to Generate Memes
Participated in DataHour: Current and Best Practices for LLM Evaluation
Participated in DataHour: Medical-Chat Bot: The History of Our Attempt
Participated in DataHour: Elevating Business Transformation: Leveraging Retrieval Augmented Generation (RAG)
Participated in DataHour: Building Useful Applications with LLMs
Participated in DataHour: Create a Language to SQL Translator with LLM
Participated in DataHour: Era of AI-Assisted Innovation
Participated in DataHour: Overview of Latent Diffusion, Stable Diffusion 1.5, & Challenges with SD 1.5
Participated in DataHour: Securing LLM-Based Applications
Participated in DataHour: Production Stack for LLMs
Participated in Big Mart Sales Prediction
Participated in DataHour: Industrial Application of Large Language Models like ChatGPT
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: Unlocking Business Growth - The Power of Customer Segmentation
Participated in DataHour: Personalizing Demand Planning Using Scenario Analysis
Participated in DataHour: Basics of Big Data File Formats
Participated in DataHour: ChatGPT and the Future of NLP Systems
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: Application of Data Science in Insurance Industry
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: How Good is AI for Conversations?
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: Data Science in Banking Industry
Participated in DataHour: Understanding Energy Industry through EDA
Participated in DataHour: Introduction to Deep Learning with FastAI
Participated in DataHour: Metrics in Tech - Using Data to Drive Business Decisions
Participated in DataHour: Deep Dive into Airflow Components
Participated in DataHour: Solving Business Problems with Microsoft Excel
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 #AVdatafest Xtreme ML Hack : Machine Learning Hackathon
Participated in Fractal Analytics Hiring Hackathon
Participated in Data Science Hackathon: Churn Prediction
Participated in Skilltest: NLP
Participated in AVdatafest : Experiments With Data
Participated in Mini Datahack
Participated in AV Casino : Introduction to Probability
Participated in Skilltest: Python for Data Science
Participated in Identify the Digits (MNIST)
Participated in #AVdatafest Webinar: Use of Analytics in Insurance Industry
Participated in DataHack Premier League 2018
Participated in Age Detection of Actors
Participated in Webinar : How to crack Big Data & Data Science roles
Participated in Experiments with Data
Participated in Data Science Hackathon - Cross-sell: target the right customer
Participated in Practice Problem: Urban Sound Classification
Participated in The D Hack
Participated in LearnUp Delhi : Learn Data Science from Scratch
Participated in AV Learnup Chennai
Participated in Mini DataHack
Participated in Date Your Data
Participated in Mini Hack : Data Visualization
Participated in Black Friday Data Hack
Participated in #AVdatafest Launch Party & Panel Discussion
Participated in #AVdatafest PowerTool: SQL
Participated in Click Prediction Hackathon
Participated in AV LearnUP - Getting Started with Analytics / Data Science
Participated in Skilltest: Machine Learning
Participated in Data Science Interview Preparation Test
Participated in Skilltest: Dimensionality Reduction and secured rank 149
Participated in #AVdatafest Webinar: Use of Analytics in Telecom Industry
Participated in #AVdatafest Webinar: Information Discovery & Intelligence Generation in Life Sciences
Participated in #AVdatafest Webinar on Quantitative Finance & Algorithmic Trading
Participated in Practice Problem: Skilltest - Machine Learning
Participated in Webinar: Mission 2020, The future of careers in Machine Learning
Participated in Skilltest: Linear Regression
Participated in Re-Date Your Data: Learning Contest
Participated in AVdatafest : The Creative Analyst
Participated in AVdatafest : The Seer's Accuracy
Participated in Experiments With Data
Participated in Practice Problem: Strategic Thinking II
Participated in Knocktober 2016
Participated in #AVdatafest PowerTool: R for Data Science
Participated in #AVdatafest DATAHACK HOUR
Participated in Webinar: New Age Skills for New Age Data Scientists
Participated in Lord of the Machines: Data Science Hackathon
Participated in Twitter Sentiment Analysis
Participated in Time Series Forecasting
Participated in Recommendation Engine
Participated in McKinsey Analytics Online Hackathon - Sales Excellence
Participated in McKinsey Analytics Online Hackathon
Participated in Black Friday Sales Prediction
Participated in Skilltest: Statistics
Participated in Loan Prediction
Participated in DataHour: Data Management and AI
Participated in DataHour: Deep Dive into Graph Neural Nets for Content NLP
Participated in DataHour: Data Modeling Concepts
Participated in DataHour: An Introduction to AWS EMR
Participated in DataHour: Introduction To BigQuery ML
Participated in DataHour: Time Series analysis using LSTM
Participated in DataHour: Getting Started with Big Data
Participated in DataHour: When Airflow Meets Kubernetes - An Introduction to MLOps
Participated in DataHour: AI in Banking
Participated in DataHour: Convolution Neural Network for Image Recognition
Participated in DataHour: Artificial Intelligence Approach in Stock Market Analysis
Participated in DataHour: An Introduction to Measuring Marketing Channel Effectiveness
Participated in DataHour: AI/ML Era in Customer Experience (CX)
Participated in DataHour: Making AI work for Business
Participated in A Practical Approach to Kaggle Competition
Participated in DataHour: Diffusion Models for Generative Arts
Participated in DataHour: Applications of Optimization in On-demand Food and Grocery Delivery
Participated in DataHour: Using Data Science Methodology to Assess Equity in Communication
Participated in DataHour: Customer Data Science Models - Retail and CPG
Participated in DataHour: Data Science Use Cases
Participated in DataHour: Applications of Machine Learning in Self Driving Cars
Participated in DataHour: Understanding the Basics of a Neural Network
Participated in DataHour: Diving into the field of Data Analytics
Participated in DataHour: How to start your Kaggle journey?
Participated in DataHour: Data Science Use Cases - Part 2
Participated in DataHour: An Empathetic AI for Healthcare
Participated in DataHour: GANs Revolutionizing the World!
Participated in DataHour: Data Warehouse and its importance in Data World
Participated in DataHour: Churn Analytics in Telcos
Participated in DataHour: An Introduction to Extended Reality (XR)
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: Quantum Computing in Financial Industry
Participated in DataHour: Big Data Architecture and the Best Practices on AWS
Participated in DataHour: How Data Science is used in Fintech?
Participated in DataHour: Introduction to Dimensional Data Modelling
Participated in DataHour: Advance SQL - Analytics/Windows Functions
Participated in DataHour: Importance of Statistics in Data Science and Machine Learning
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: Transforming Business Challenges into Data Driven Solution
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: Understanding ChatGPT and its Use Cases
Participated in DataHour: Deploying Models for Sentiment Analysis on Cloud
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