Personal Information
Unternehmen/Arbeitsplatz
Bengaluru Area, India India
Beruf
Lead Data Scientist at GE Digital | Machine Learning | IIM B | Kaggler | SAS Certified Statistical Analyst
Branche
Apparel / Fashion
Info
Senior Data Scientist with 7 years of experience in delivering actionable business insights using statistical modelling, machine learning and big data. Has an excellent track record of managing and executing complex data science projects and consistently exceeding expectations. Enjoys seeing and discussing the bigger picture and the business impact as much as diving into details about all sorts of machine learning models.
Highly passionate about data science and is active in the academia through continued association with alma mater, IIM Bangalore. Keeps up to date regularly on the latest developments in the field of data science by taking up MOOCS/Certifications and competing in Kaggle ...
Tags
machine learning
statistics
kmeans
unsupervised learning
segmentation
k-means
hierarchical clustering
dbscan
clustering
predictive modelling
data science
decision tree
bagging
ensembling
random forest
gradient boosting
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Präsentationen
(2)Gefällt mir
(5)Notes from Coursera Deep Learning courses by Andrew Ng
Tess Ferrandez
•
Vor 6 Jahren
Beyond SQL: Speeding up Spark with DataFrames
Databricks
•
Vor 9 Jahren
Decision Tree Ensembles - Bagging, Random Forest & Gradient Boosting Machines
Deepak George
•
Vor 8 Jahren
2016 Spark Summit East Keynote: Matei Zaharia
Databricks
•
Vor 8 Jahren
Introduction to Spark ML
Holden Karau
•
Vor 8 Jahren
Personal Information
Unternehmen/Arbeitsplatz
Bengaluru Area, India India
Beruf
Lead Data Scientist at GE Digital | Machine Learning | IIM B | Kaggler | SAS Certified Statistical Analyst
Branche
Apparel / Fashion
Info
Senior Data Scientist with 7 years of experience in delivering actionable business insights using statistical modelling, machine learning and big data. Has an excellent track record of managing and executing complex data science projects and consistently exceeding expectations. Enjoys seeing and discussing the bigger picture and the business impact as much as diving into details about all sorts of machine learning models.
Highly passionate about data science and is active in the academia through continued association with alma mater, IIM Bangalore. Keeps up to date regularly on the latest developments in the field of data science by taking up MOOCS/Certifications and competing in Kaggle ...
Tags
machine learning
statistics
kmeans
unsupervised learning
segmentation
k-means
hierarchical clustering
dbscan
clustering
predictive modelling
data science
decision tree
bagging
ensembling
random forest
gradient boosting
Mehr anzeigen