About Anil Jadon
Good Attitude, High Energy, Passion towards Data Analytics, Student Friendly, Multidisciplinary Experience
- Masters(Msc-IT) in Information Technology
- ?Bachelor (B.Sc.) in Maths &
- ?Cleared Actuarial Sciences Papers – Probability & Mathematical Statistics/Statistical Methods/ Financial Mathematics (CT1 / CT3 / CT6 / CT9) from IAI
- Anil has 12 years of experience as a Data Scientist. He is currently working as AI Data Science Research & Innovation Lead in one of US based company.
- ?His experience ranges in domains such as Analytics, Statistical Modeling, Machine Learning, Artificial Intelligence (Deep Learning) & NLP.
- He is also identified as an industry expert in R,Python,SAS,Spark,Hadoop, Hive, and other open source DB.
- ?He has exposure working in industries such as Insurance, Healthcare, Retail, Banking & Agriculture etc. He has executed projects ranging in the field of Retention Models, Acquisition Models, Customer Churn / Survival, Forecasting problems, New Product Launch, Many Regression & Classification problems.
● Built Reinforced learning based model for optimal policy generation to handle uncertainty
● Natural Language Processing & Text analytics using regular expressions & Topic modelling
○ Convolutional Neural Network and LSTM/GRU
○ Spacy Linear Sparse model / Phonology & Morphology analysis
● Experience in Python, Spark, PySpark, Hue, Hadoop, Hive, R, Rstudio, I Python Notebook,
SAS/Base & SAS Advance, SQL, Oracle – Exadata, SXDB, AWS & Product Development.
● Built predictive models for classification, regression, problems and Survival analysis based on supervised & unsupervised learning.
● Experience in RandomForest, GBM, XGBoost, SVM, KNN, Linear & Logistic Regression,
Ridge & Lasso regression, Deep & Bidirectional Neural Network, Principle Component Analysis & Markov Decision Process etc.
● Dimensions reduction technique like PCA and Feature selection techniques like VIF, L1 & L2 regularization, Sign Check, Best search algorithm etc.
● Clustering & Segmentation using K-means, DBSCAN & Hierarchical-Divisive (Top down) algorithms.
● Experience in NLP with Deep Learning, World2Vec, SkipGram, and Continuous Bag-of- words (CBOW), Glove vector, and Text Classification & Theme identification.
- Python, Spark, PySpark, Hue, Hadoop, Hive, R, Rstudio, I Python Notebook,
SAS/Base & SAS Advance, SQL, Oracle – Exadata, SXDB, AWS & Product Development