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About inkri

Member Since Oct. 13, 2017, 5:34 p.m.
Location Mumbai
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Participated in WNS Analytics Wizard 2018 (Machine Learning Hackathon) and secured rank 707
Participated in DataHour: Continuous Testing and Evaluation with LLMs
Participated in DataHour: Harnessing ML and NLP for Elevated Customer Experiences
Participated in DataHour: Demystifying Demand Forecasting for Retail Success
Participated in DataHour: Unwritten Rules for Success in Machine Learning
Participated in DataHour: Why Did My AI Do That? Decoding Decision-Making in ML
Participated in DataHour: Machine Learning Tips and Tricks
Participated in DataHour: From APIs to Insights: Building Custom Power BI Connectors for RESTful APIs
Participated in AMA: Generative AI & Career in Data Science / Data Analytics
Participated in DataHour: Handling Satellite and Geospatial Raster Data in Python
Participated in DataHour: Titanic Machine Learning Case Study using Python
Participated in DataHour: Statistics with Python for Data Science
Participated in DataHour: Exploring Dimensionality Reduction
Participated in DataHour: What do Hiring Managers Look for in Data Scientists?
Participated in DataHour: Web Scraping using Python Libraries
Participated in DataHour: Introduction to Social Network Analysis
Participated in DataHour: How to Become an AI/ML Cloud Architect?
Participated in DataHour: Understanding Logistic Regression and Decision Tree Analysis
Participated in DataHour: Building an End-to-End Solution for Big Mart Sales Prediction
Participated in DataHour: Deep Dive into Kubernetes and Concepts of Containerization
Participated in DataHour: Build Your Career in Data Analytics
Participated in DataHour: An Introduction to Machine Learning with Sequence Data
Participated in DataHour: FIFA World Cup Match Analysis Using Python
Participated in DataHour: Basics of Big Data File Formats
Participated in DataHour: Getting Started with Python
Participated in DataHour: Generating Labeled Data through Weak Supervision
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: Feature Engineering and Selection for Machine Learning
Participated in DataHour: Best of Pandas & The Power of Simple Models
Participated in DataHour: Caching in Data Science
Participated in DataHour: Machine Learning on Live Streaming Data for AIOps
Participated in DataHour: Evaluation Criteria for Validating Machine Learning Models
Participated in DataHour: Dataflow on Google Cloud
Participated in DataHour: Forecasting & Time-series Analysis
Participated in DataHour: Boosting Performance with Ensemble Methods
Participated in DataHour: How Companies Use SQL to Extract Meaningful Insights Through Data?
Participated in DataHour: Feature Engineering and benefits of EDA
Participated in DataHour: How to Start Your Career in Data Engineering with SQL and Python?
Participated in DataHour: Constructing Machine Learning Pipelines using Scikit-learn
Participated in DataHour: Mastering Guesstimate Interview Questions
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: How to Start your Journey in Data Engineering?
Participated in DataHour: Data Architect vs Data Engineer
Participated in DataHour: Transforming HR with People Analytics
Participated in DataHour: Application of ML Classification Techniques in Banking Industry
Participated in DataHour: How to Forecast New Product Launches using Data Centric Approach
Participated in DataHour: Everything You Need to Know About Pandas
Participated in DataHour: Building Effective Data Pipelines
Participated in DataHour: Deep Dive into Airflow Components
Participated in DataHour: Exploring the Best Book Sellers Dataset
Participated in DataHour: Data Preparation and Feature Engineering in ML
Participated in DataHour: Unlocking the Power of Embeddings
Participated in DataHour: An Introduction to Spark for Data Engineering
Participated in DataHour: Exploring the World of AI and its Career Opportunities
Participated in DataHour: Optimizing Real-Time ML Inference with Nvidia Triton Inference Server
Participated in DataHour: A/B testing - Theory, Practice and Pitfalls
Participated in DataHour: Understanding Graph Data Science
Participated in DataHour: Dealing with Imbalanced Datasets in ML Classification Problems
Participated in DataHour: Salary Analysis and Prediction Using ML
Participated in DataHour: Data Wrangling Using Geospatial Data in Python
Participated in DataHour: Diabetic Patients’ Readmission Prediction using ML
Participated in DataHour: Making Data Pipelines Easy with Dataproc and Composer
Participated in DataHour: No-code ML Hands-on using Orange Data Mining Tool
Participated in DataHour: Deep Dive into Semantic Segmentation- Techniques, Challenges and State-of-the-Art
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 WEBINAR: The Importance Of Building The Right Problem Statement In Data Science
Participated in Experiments with Data
Participated in Data Science Interview Preparation Test
Participated in Analytics Vidhya Hiring Hackathon
Participated in Loan Prediction
Participated in Webinar: Data Science vs Big Data vs Business Analytics (Choosing the right career track)
Participated in Innoplexus Online Hackathon: Machine Learning Challenge
Participated in Black Friday Sales Prediction
Participated in JanataHack: NLP Hackathon
Participated in Webinar: How to Get Started with Natural Language Processing (NLP)
Participated in ABInBev : Data Science Talent Hunt Hackathon
Participated in McKinsey Analytics Online Hackathon - Sales Excellence
Participated in Time Series Forecasting
Participated in Capillary Machine Learning Hackathon
Participated in AmExpert 2018 (Machine Learning Hackathon)
Participated in Tredence (SQL Hackathon): Hack and Get Hired
Participated in LTFS Data Science FinHack ( ML Hackathon)
Participated in McKinsey Analytics Online Hackathon - Healthcare Analytics
Participated in Identify the Digits (MNIST)
Participated in HR Analytics and secured rank 707
Participated in WNS Analytics Wizard 2019
Participated in JanataHack: Mobility Analytics
Participated in JanataHack: Machine Learning for IoT
Participated in LTFS Data Science FinHack 2
Participated in Recommendation Engine
Participated in Felicity : Kings of Machine Learning
Participated in McKinsey Analytics Online Hackathon- Recommendation Design
Participated in JanataHack: Recommendation Systems
Participated in JanataHack: Time Series Forecasting
Participated in JanataHack: HR Analytics
Participated in Janatahack: Healthcare Analytics II
Participated in Janatahack: Cross-sell Prediction
Participated in JanataHack: Machine Learning for Banking
Participated in Practice Problem: Urban Sound Classification
Participated in JanataHack: Demand Forecasting
Participated in Janatahack: Customer Segmentation
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 HackLive 2 - Guided Community Hackathon!
Participated in DataHour: How to Stay Relevant in the Booming World of AI?
Participated in JOB-A-THON - May 2021 and secured rank 2029
Participated in DataHour: An Overview of Feature Engineering for Data Science
Participated in DataHour: Hands-on Workshop on Feature Engineering
Participated in Twitter Sentiment Analysis
Participated in Food Demand Forecasting
Participated in DataHour: SQL - Intermediate to Advanced
Participated in DataHour: Advance SQL - Analytics/Windows Functions
Participated in DataHour: Building and Operationalizing an Explainable Predictive Model
Participated in DataHour: How do Algorithms Generate Recommendations?
Participated in DataHour: Classification Algorithms Evaluation Metrics
Participated in DataHour: Advanced Exploratory Data Analysis on Credit Data
Participated in DataHour: Exploring Multi-label & Multi-class Classification
Participated in DataHour: Normal Distribution - Understanding the Numbers and its Real Life Applications
Participated in DataHour: Cloud Dataproc - Migrate and Optimize Spark Workloads
Participated in DataHour: Building Cloud Native Data Pipelines
Participated in DataHour: Data Science Career - Myths vs Truths
Participated in DataHour: Diabetes Prediction Using Survival Analysis
Participated in DataHour: Data Modelling Demystified
Participated in DataHour: Machine Learning Model Development using Pandas, Numpy and Scikit-Learn
Participated in DataHour: Analyzing Loan Application Data using Python
Participated in DataHour: Hyperparameter Optimization Demystified
Participated in DataHour: Get Started with Hadoop
Participated in DataHour: An Introduction to Apache Airflow
Participated in DataHour: Introduction to Optimization using Genetic Algorithms
Participated in DataHour: Data Science for Business - From Theory to Practice
Participated in DataHour: Launch Your Career in Data Science
Participated in DataHour: Understanding Logistic Regression
Participated in DataHour: Anomaly Detection in Time Series Data
Participated in DataHour: Real-time Machine Learning - Challenges and Solution
Participated in DataHour: An Introduction to Big Data Processing using Apache Spark
Participated in DataHour: Google BigQuery - The Modern Cloud Data Warehouse
Participated in DataHour: Experiments with Interpretable Artificial Intelligence
Participated in DataHour: Basic Concepts of Object Oriented Programming in Python
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