Susant Bisoi

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About Susant Bisoi

Member Since Feb. 2, 2017, 12:24 a.m.
Location Hyderabad
Area of Interest python, Tableau, NLP, Deep learning, javascript, Tensorflow, ANN, NET

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Participated in WNS Analytics Wizard 2019 and secured rank 790
Participated in India ML Hiring Hackathon 2019 and secured rank 694
Participated in DataHour: Continuous Testing and Evaluation with LLMs
Participated in DataHour: Harnessing ML and NLP for Elevated Customer Experiences
Participated in WNS Triange Hackquest
Participated in Ripik.AI HackFest: Unleashing AI Potential
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: Building an End-to-End Solution for Big Mart Sales Prediction
Participated in DataHour: Web Scraping using Python Libraries
Participated in DataHour: Introduction to Social Network Analysis
Participated in DataHour: Understanding Logistic Regression and Decision Tree Analysis
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 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 Analytics Vidhya Hiring Hackathon
Participated in Data Science Interview Preparation Test
Participated in Experiments with Data
Participated in Predict Number of Upvotes
Participated in Skilltest: Linear Regression
Participated in Practice Problem: Skilltest - Machine Learning
Participated in Skilltest: NLP
Participated in #AVdatafest The QuickSolver : Machine Learning Mini-Hack
Participated in Webinar : How to crack Big Data & Data Science roles
Participated in Webinar: New Age Skills for New Age Data Scientists
Participated in WNS Analytics Wizard 2018 (Machine Learning Hackathon)
Participated in Webinar: Using AI as Prediction Machines
Participated in Innoplexus Online Hiring Hackathon: Saving lives with AI
Participated in Fractal Analytics Hiring Hackathon
Participated in HR Analytics
Participated in Time Series Forecasting
Participated in Food Demand Forecasting
Participated in Tredence (SQL Hackathon): Hack and Get Hired
Participated in Identify the Digits (MNIST)
Participated in LTFS Data Science FinHack ( ML Hackathon)
Participated in Analytics Vidhya Internship Challenge
Participated in Identify the apparels (Fashion MNIST)
Participated in Twitter Sentiment Analysis
Participated in Webinar: Build a Recommendation Engine for Retail Data
Participated in Webinar: Problem Solving using AI - The QuantumBlack Story
Participated in Identify the Sentiments
Participated in ML Hikeathon (An Online Machine Learning Hackathon)
Participated in Intel AI Enterprise Meetup - Bengaluru (Invite-Only)
Participated in Online Challenge: Build A Recommendation Engine (Powered by IBM Cloud)
Participated in JanataHack: Mobility Analytics
Participated in Webinar: Streaming Analytics - Future of Every Application
Participated in Club Mahindra DataOlympics
Participated in JanataHack: Machine Learning for IoT
Participated in JanataHack: Demand Forecasting
Participated in JanataHack: HR Analytics
Participated in Rise of the Machines ( Meetup - Hyderabad)
Participated in Webinar: How to Deploy your ML Model?
Participated in LTFS Data Science FinHack 2
Participated in Webinar: DS Careers – Which Role to go for?
Participated in Webinar: Going Beyond your First ML Project
Participated in AV LearnUp Mumbai: HR Analytics
Participated in ABInBev : Data Science Talent Hunt Hackathon
Participated in Age Detection of Actors
Participated in Janatahack: Healthcare Analytics II
Participated in Webinar: Getting Started with Recommendation Engines
Participated in JanataHack: Machine Learning for Banking
Participated in JanataHack: Recommendation Systems
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 Janatahack: Cross-sell Prediction
Participated in LTFS Data Science FinHack 3
Participated in Machine Learning Summer Training
Participated in How to become a Data Scientist in 180 days?
Participated in JOB-A-THON
Participated in DataHour: Think like a Data Scientist
Participated in Panel Discussion: How to Ace DS Competitions?
Participated in Loan Prediction
Participated in JOB-A-THON - May 2021
Participated in Practice Problem: Urban Sound Classification
Participated in DataHour: Efficient Implementations of Transformers
Participated in Data Science Blogathon - 21
Participated in Football Hackathon
Participated in Black Friday Sales Prediction
Participated in Recommendation Engine
Participated in HackLive - Guided Community Hackathon!
Participated in HackLive 3: Guided Hackathon - NLP
Participated in Skill Test: Python for Data Science
Participated in DataHour: MLOps—DevOps for Machine Learning
Participated in DataHour: Data Modeling Concepts
Participated in DataHour: ML oops to MLOps!
Participated in DataHour: Introduction to Optimization Problems for Data Scientists
Participated in DataHour: Introduction to Network Science
Participated in DataHour: Next Leap - Data Science Adoption to Application
Participated in DataHour: SQL- One of the Key Ingredients for Data Science
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: 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 DataHour: An Introduction to AWS EMR
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: Introduction To BigQuery ML
Participated in DataHour: Methods for Explaining the Blackbox of Machine Learning Model
Participated in DataHour: Everything You Need to Know About Numpy
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: Getting Started with Big Data
Participated in DataHour: Key steps for Designing Convolutional Neural Network(CNN) for Image Classification
Participated in DataHour: An Introduction to Central Limit Theorem
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: ML Model Interpretation and Evaluation
Participated in Telstra Innovation Hackathon 2022
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: When Airflow Meets Kubernetes - An Introduction to MLOps
Participated in DataHour: Data Engineering with Databricks
Participated in DataHour: Unfolding Model Evaluation Metrics in Machine Learning
Participated in DataHour: Netflix Data Analysis using Python
Participated in DataHour: Data Warehouse and its importance in Data World
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
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