[email protected]

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About [email protected]

Member Since Oct. 13, 2016, 8:58 p.m.
Location Bangalore
Area of Interest SAS, R, SQL, VBA, Qlikview, Machine Learning, Data Analytics, DB2, Predictive Analytics

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Participated in Skilltest: Logistic Regression and secured rank 114
Participated in JanataHack - E-Commerce Analytics ML Hackathon and secured rank 61
Participated in Fractal Analytics Hiring Hackathon and secured rank 193
Participated in Skilltest: Tree Based Models and secured rank 83
Participated in Janatahack: Machine Learning in Agriculture and secured rank 201
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 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: 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: An Introduction to Machine Learning with Sequence Data
Participated in DataHour: FIFA World Cup Match Analysis Using Python
Participated in DataHour: Getting Started with Python
Participated in DataHour: Generating Labeled Data through Weak Supervision
Participated in DataHour: Feature Engineering and Selection for Machine Learning
Participated in DataHour: Best of Pandas & The Power of Simple Models
Participated in DataHour: Machine Learning on Live Streaming Data for AIOps
Participated in DataHour: Evaluation Criteria for Validating Machine Learning Models
Participated in DataHour: Forecasting & Time-series Analysis
Participated in DataHour: Boosting Performance with Ensemble Methods
Participated in DataHour: Feature Engineering and benefits of EDA
Participated in DataHour: Constructing Machine Learning Pipelines using Scikit-learn
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: 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: 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: 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 Skilltest: Tree Based Algorithms
Participated in #AVdatafest SkillPower: Machine Learning
Participated in #AVdatafest DATAHACK HOUR
Participated in #AVdatafest SkillPower: Deep Learning
Participated in Skilltest: Dimensionality Reduction and secured rank 10
Participated in Practice Problem: Strategic Thinking II
Participated in Skilltest: NLP
Participated in Webinar: Automated Machine Learning using MLBox python package
Participated in Skilltest: Clustering
Participated in #AVdatafest SkillPower: Time Series
Participated in #AVdatafest Rampaging DataHulk: Machine Learning Mini-Hack
Participated in #AVdatafest PowerTool: R for Data Science
Participated in AV Express: Kickstart your Data Science career (Delhi NCR)
Participated in Data Science Interview Preparation Test
Participated in Webinar: Mission 2020, The future of careers in Machine Learning
Participated in Webinar : How to crack Big Data & Data Science roles
Participated in Big Mart Sales Prediction
Participated in Loan Prediction
Participated in AV LearnUp Bengaluru : Data Science in Finance
Participated in Skilltest: Regression
Participated in #AVdatafest SkillPower: Probability
Participated in #AVdatafest The Mightiest Pen : Blogging Competition
Participated in Webinar: New Age Skills for New Age Data Scientists
Participated in Black Friday Sales Prediction
Participated in Time Series Forecasting
Participated in Webinar on Information retrieval from unstructured text at scale using advanced deep learning
Participated in Data Science Hackathon - Cross-sell: target the right customer
Participated in Strategic Sprint
Participated in Webinar: How to crack Big Data & Data Science Role?
Participated in Blogathon 2
Participated in Skilltest: SAS and secured rank 56
Participated in #AVdatafest The QuickSolver : Machine Learning Mini-Hack
Participated in #AVdatafest: The Strategic Thor
Participated in #AVdatafest Launch Party & Panel Discussion
Participated in #AVdatafest PowerTool: SQL
Participated in Age Detection of Actors
Participated in Click Prediction Hackathon
Participated in Webinar: Data Science vs Big Data vs Business Analytics (Choosing the right career track)
Participated in Machine Learning Starter Program Hackathon
Participated in Genpact Machine Learning Hackathon
Participated in Joke Rating Prediction
Participated in The Strategic Monk
Participated in McKinsey Analytics Online Hackathon - Sales Excellence
Participated in McKinsey Analytics Online Hackathon
Participated in QuantumBlack Hackathon
Participated in HR Analytics
Participated in The Strategic Saviour
Participated in What's your story?
Participated in ML Hikeathon (An Online Machine Learning Hackathon)
Participated in Tredence (SQL Hackathon): Hack and Get Hired
Participated in LTFS Data Science FinHack 2
Participated in Data Science Hackathon: Churn Prediction
Participated in WNS Analytics Wizard 2019
Participated in Identify the Sentiments
Participated in AmExpert 2018 (Machine Learning Hackathon)
Participated in Food Demand Forecasting
Participated in Janata Hack - Machine Learning Hackathon to support Janata Curfew
Participated in JanataHack: Machine Learning for IoT
Participated in JanataHack: NLP Hackathon
Participated in Janatahack: Healthcare Analytics II
Participated in JanataHack: Time Series Forecasting
Participated in JanataHack: HR Analytics
Participated in JanataHack: Mobility Analytics
Participated in JanataHack: Machine Learning for Banking
Participated in JanataHack: Demand Forecasting
Participated in JanataHack: Recommendation Systems
Participated in Janatahack: Healthcare Analytics
Participated in Janatahack: Independence Day 2020 ML Hackathon
Participated in Janatahack: Customer Segmentation
Participated in LTFS Data Science FinHack 3
Participated in Janatahack: Cross-sell Prediction
Participated in ABInBev : Data Engineering Talent Hunt Hackathon
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: Diabetes Prediction Using Survival Analysis
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: 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: Experiments with Interpretable Artificial Intelligence
Participated in DataHour: Basic Concepts of Object Oriented Programming in Python
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