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Ashisdeb analytics new_cv_doc

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ashis deb cv

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Ashisdeb analytics new_cv_doc

  1. 1. Curriculum Vitae ASHIS DEB Predictive Research . Email: ashisdeb83@gmail.com Mobile: +91- 9742579872 8553825317 LinkedIn: https://in.linkedin.com/in/ashis-deb-63087041 Professional Summary:  Having 2.6 years of experience in applications development ,algorithm development and maintenance with good exposure to varied areas of software development life cycle like administrative, design, coding, testing and implementation .  2 years of experience in Analytical related technologies.  In depth knowledge of Analytics distribution and algorithm development.  Machine Learning Technologies like naive Bayes, KNN for predictive analytics .  Time Series data analysis (Stock Market historical data).  Experience in using R ,Python ,Excel, Hadoop ecosystem ,spark.  Experience in working with Linux(Ubantu ,Oracle Linux and CentOS) environments.  Having experience in Application Development and Maintenance project.  Functional knowledge of Data Modeling on Automobile data ,Telecom data and Real Estate data . Professional Experience:  Working as Senior Data Analyst at Predictive Research, Bangalore from Dec 2013 to till date. Achievements:  Working Onsite - Worked at Vodafone Qatar onsite as a Big Data Analyst Specialist from August 2015 to November .  Client Appreciation – Received numerous client appreciations for design, development and deployment of critical enhancements in Project . Academic Profile:  Btech in Information Technology from BPUT Orrisa . Skill Set: Analytical Tools : R-(3.0.1 -3.2.3), RStudio , Rodeo, IPython notebook. Packages : Dplyr ,rattle ,reshape ,gWidgets ,GTK2+ ,quantmod . Big Data Technologies : Hadoop, Hdfs . Languages : C# ,C,C++,Python . Operating Systems : Ubuntu, Centos, oracle Linux. RDBMS and Tools : Mysql,sql server-2012.
  2. 2. Web Applications : R Shiny-0.13. Tools developed using R shiny : 1. https://www.youtube.com/watch?v=BXrwL7xoKuo 2. https://predictive-recommender.shinyapps.io/Recommender 3. https://predictive-recommender.shinyapps.io/bda_suite Packages developed using R gWidgets and Gtk2+ : 1. https://www.youtube.com/watch?v=s6LIzs_afco 2. https://www.youtube.com/watch?v=fAKsgAjwYws 3. https://www.youtube.com/watch?v=umStkNseQRA Project # 5 Title: Smart Leads Client: Trilogy. Duration : 6 months Environment: R, SQL Server-2012, Excel. Description: This project aim is to find the best lead in smartlead data(Hyundai Data) using data modeling and data mining technique, Here we preprocessed the data in R (Removing Outliers,filling missing values in cells ,removing rows having NA's ) ,applied RandomForest classification for important variable selection ,then divided the data in 80/20 as training and testing build the model using training dataset and tested it using the testing dataset and verified the model using confusion matrix. Roles and Responsibilities:  Preprocessing and analyzing data in R and excel and plotting pivot chart.  Appling feature selection machine learning techniques Random Forest and AIC/BIC for variable importance.  Creating (GLM) Generalized Linear Model, Neural Networks , Naive Bayes ,Support Vector Machine (SVM) to build a model and analyzing Acceptance Rate , Close Rate etc using Confusion Matrix.  Developing R scripts for modeling. Project Details: Project # 4 Title: Health Risk Model Client: Secureinfosys. Duration :5.5 months. Environment: R, SQL Server-2012, Excel. Description: This project aim is to create a health risk model for cancer patient data using data modeling and data mining technique whether patient got readmitted or not, Here we preprocessed the data .
  3. 3. Roles and Responsibilities:  Preprocessing and analyzing data in excel and plotting pivot chart.  Appling feature selection machine learning techniques Random Forest for variable importance.  Creating (GLM) Generalized Linear Mode, plotting roc curve and confusion matrix of model.  Developing R scripts for modeling.  Created a C# dll using "RDotnet" package which can be used and called in C# application to analyze the model. Project Details: Project # 3 Title: Telecom Immunity . Client: Vodafone Duration:4 months(Onsite exposure in Qatar). Environment: R , Cloudera Manager 5.2.5, Oracle Linux 6, Hadoop, HUE, Pig, Hive, Oozie, Flume, Morphine, Regex, Elasticsearch. Description: In this project Vodafone Qatar wants to analyze the top 10 % least performing cell sites from the top performing cell sites and to trigger a alert on a daily basis(ATV value) . Roles and Responsibilities:  Performed as an analyst and R developer in client site Vodafone Qatar.  Using "Rhdfs" package for basic connection to Hadoop ecosystem .  Using "Plymr" package to analyze the data for performing various data analysis.  Extracting daily data from Analytical node in Hadoop using RHdfs and plymr package .  Doing data manipulation and storing the bottom 10% cell site into Elastic Search . Project # 2 Title: Rate of Investment on Remodeling Houses : Client: MyKukun.com. Duration:5 months . Environment: R, MySQL.  Description : We built ROI Analytical Model based on the Real Estate Historical market rates. Based on the location and remodeling changes opted by the user, the model used to calculate the Investment and Returns on the Investment. Roles and Responsibilities:  Analyzing the data using excel and R .  Functional Programming to take data from various data table stored in MySql using "RMysql" package .  Scripting in R to found out user location using google api and give them a prediction result of ROI they can get by investing in certain remodelling of house or addition of a room in there house .  Storing the result in MySql . Project # 1
  4. 4. Title: Stock market prediction (Finance Project) . Client: Client. Duration: 2 months. Environment: Revolution R, Shiny. Description: This project is about determining the performance of the companies stocks (apple ,Microsoft ,Nike etc) for next day ,next month and for next year . Roles and Responsibilities:  Used Packages like Shiny , Dplyr , Quantmod ,RExcel, RDcom Server, ggplot ,Financial Instruments .  Taking historical stock data's from YAHOO Finance using Quantmod package and taking there Close prices to predict the future of the stock for tomorrow , next week and next month .  Using Machine Learning tool (Genetic Algorithm ) to generate rules .  Generate graphical representation of the the stock using ggplot .  Using Excel as an front end and R as an Backend ,written Macro codes to prepare buttons in excel and generate R results in excel. Personal Strengths:  Self-starter, willing to tackle new and challenging problems.  Multi-tasking, quick grasp, Very patient, problem solving and Professional attitude completely focused on results, with goal oriented approach.  Organized and enthusiastic, with a positive attitude and Commitment to the highest level of Professional Excellence. Education Background: B.Tech. in Information Technology from Gandhi Institute of engineering & Technology(GIET) with 6.88 C.G.P.A under Biju Patnaik University of Technology (B.P.U.T) in the year 2011. Passed Higher Secondary (XIIth) from vivekananda kendra vidyalaya under CBSE with 59 %. Passed Secondary (Xth) from vivekananda kendra vidyalaya under CBSE with 69 %. Personal Details: Passport Number : K0159542 Location : Bangalore Language known : English, Hindi Declaration: I certify that all the information I furnish herein is factually correct to the best of my knowledge and belief and accept that it is subject to verification by the organization. Place : Bangalore ASHIS DEB

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