首页
<source id="3oodw" ><sup id="3oodw" ></sup></source>

      1. <s id="3oodw" ><th id="3oodw" ><small id="3oodw" ></small></th></s>
        <i id="3oodw" ><optgroup id="3oodw" ></optgroup></i>

            <input id="3oodw" ><bdo id="3oodw" ><cite id="3oodw" ></cite></bdo></input>
            <delect id="3oodw" ><ruby id="3oodw" ></ruby></delect>

            <em id="3oodw" ><progress id="3oodw" ></progress></em><input id="3oodw" ></input>
            <strike id="3oodw" ></strike>

            Anil Jadon

            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

            This post was written by Bhawani Sharma

            Please Fill up the form to download Prospectus !