SLchoudhary

SLchoudhary lal

Hackathons
59
Rank
135
Points
Participated in Janatahack: Independence Day 2020 ML Hackathon
Participated in LTFS Data Science FinHack 2
Participated in Janatahack: Customer Segmentation
Participated in Dataverse Hack
Participated in AmExpert 2019 – Machine Learning Hackathon
Participated in JanataHack: Time Series Forecasting
Participated in JanataHack: Recommendation Systems
Participated in LTFS Data Science FinHack 3
Participated in JanataHack - E-Commerce Analytics ML Hackathon
Participated in JanataHack: Mobility Analytics
Participated in JanataHack: NLP Hackathon
Participated in JanataHack: HR Analytics
Participated in JanataHack: Machine Learning for Banking
Participated in JanataHack: Machine Learning for IoT
Participated in WNS Analytics Wizard 2019
Participated in JanataHack: Demand Forecasting
Participated in HackLive 4: Guided Community Hackathon!
Participated in Janatahack: Healthcare Analytics II
Participated in Janatahack: Healthcare Analytics
Participated in Janatahack: Cross-sell Prediction
Participated in HackLive 3: Guided Hackathon - NLP
Participated in Genpact Machine Learning Hackathon
Participated in WNS Triange Hackquest
Participated in DataHour: Interpreting Machine Learning Models with Python
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 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: Web Scraping using Python Libraries
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: Constructing Machine Learning Pipelines using Scikit-learn
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: 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: 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: Business Analytics Vs Data Science
Participated in Practice Problem: Strategic Thinking II
Participated in McKinsey Analytics Online Hackathon - Healthcare Analytics
Participated in Joke Rating Prediction
Participated in Loan Prediction
Participated in Practice Problem: Urban Sound Classification
Participated in Webinar: How to Get Started with Natural Language Processing (NLP)
Participated in Practice Problem: Intel Scene Classification Challenge
Participated in Online Challenge: Build A Recommendation Engine (Powered by IBM Cloud)
Participated in Time Series Forecasting
Participated in Identify the apparels (Fashion MNIST)
Participated in Food Demand Forecasting
Participated in Predict Number of Upvotes
Participated in Identify the Sentiments
Participated in Analytics Vidhya Internship Challenge
Participated in Twitter Sentiment Analysis
Participated in Webinar: Problem Solving using AI - The QuantumBlack Story
Participated in Face Counting Challenge
Participated in Webinar: Introduction to Qlik Sense
Participated in Black Friday Sales Prediction
Participated in Janata Hack - Machine Learning Hackathon to support Janata Curfew
Participated in Identify the Digits (MNIST)
Participated in Webinar : How to Become a Data Scientist in 2019
Participated in DataHack Premier League 2018
Participated in Data Science Blogathon 5
Participated in Machine Learning Starter Program Hackathon
Participated in Recommendation Engine
Participated in HackLive 2 - Guided Community Hackathon!
Participated in Share & Empower
Participated in Janatahack: Machine Learning in Agriculture
Participated in Age Detection of Actors
Participated in HackLive - Guided Community Hackathon!
Participated in Data Science Blogathon
Participated in Data Science Blogathon 4
Participated in 2nd Global AI Conclave 2021
Participated in Ascend Pro - Student Scholarship Test
Participated in Panel Discussion: How to Ace DS Competitions?
Participated in Big Mart Sales Prediction
Participated in Skilltest: SQL
Participated in Hack4Retail by McKinsey & Company and Fozzy Group
Participated in AmExpert 2021 – Machine Learning Hackathon
Participated in DataHour: Introduction to Data-driven Decisions
Participated in DataHour: Effective Feature Engineering for Building Better Models
Participated in Football Hackathon
Participated in Skill Test: Python for Data Science
Participated in DataHour: Introduction to Social Network Analysis
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: An Introduction to Machine Learning with Sequence Data
Participated in DataHour: FIFA World Cup Match Analysis Using Python
Participated in Machine Learning Summer Training
Participated in Machine Learning Summer Training Hackathon
Participated in DataHour: Methods for Explaining the Blackbox of Machine Learning Model
Participated in DataHour: An Introduction to AWS EMR
Participated in DataHour: Introduction To BigQuery ML
Participated in DataHour: Everything You Need to Know About Numpy
Participated in Dataverse Hack: Build an AI Model to Save Lives
Participated in DataHour: Data Modeling Concepts
Participated in DataHour: Getting Started with Big Data
Participated in DataHour: An Introduction to Central Limit Theorem
Participated in DataHour: ML Model Interpretation and Evaluation
Participated in DataHour: Unfolding Model Evaluation Metrics in Machine Learning
Participated in DataHour: Netflix Data Analysis using Python
Participated in DataHour: Predicting Road Quality using AI - An MLOps Demo Pipeline
Participated in DataHour: Exploring Heart Disease Data using Python
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: 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: 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: 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

Experience

Education

Course Bachelor's Degree
University IIT Madras
Duration 2016 - Present
Job Profile