R, Machine Learning, Data Scientist

Raghavendra

**** ****** **, *** * Ocean, NJ ***** Phone: 203-***-**** **************@*****.***

SUMMARY

A highly motivated Data Scientist/Analyst with proven problem-solving and organizational skills.

Around 3 years of experience as a Data Scientist/Analyst and Java in development of models and building of software products.

Experience in Credit Risk Modelling.

Experience in integrating data, profiling, validating and data cleansing/ transformation and data visualization using R and Python.

Strong skills in algorithm development and implementation.

Intensive hands-on Boot camp on Data Analytics course spanning from Statistics to Programming including data engineering, data visualization, machine learning and programming in R, SQL.

Hands on experience in design, management and visualization of databases using Oracle, DB2, MySQL,

Tableau.

In depth knowledge of Hadoop ecosystem (HDFS, Hive, Pig and Sqoop).

Experience in manipulating the data with R packages like tidyr, dplyr, reshape, lubridate and visualizing the data using lattice and ggplot2 packages.

Experience in dimensionality reduction using PCA and LDA.

Industrial and academic experiences in data mining, machine learning, artificial

intelligence, predictive modelling, Bayesian learning.

Expertise in developing software using Java and C++ technologies.

Proficiency in using SQL to manipulate data, query expressions, join statements, subquery

Experience in using J2EE application servers such as IBM WebLogic 12.1.x and web servers like apache tomcat.

TECHNICAL SKILLS

Languages : R programming, Python, C, C++, Java and SAS.

Data Analytics : Machine Learning, Predictive Analysis, Recommender Systems, Clustering and Frequent Pattern Mining.

Other tools : Hadoop Ecosystem (HDFS, Hive, Pig and Sqoop), SQL, Excel for EDA, SparkR

Visualization tools : Tableau and SAP Lumira

Database : Oracle, MySQL, DB2 and MS SQL Server.

Web Technologies : HTML5, CSS, Java Script, ASP.Net.

Operating Systems : Windows, Linux, AIX.

Mobile Technologies : Android

PROJECTS

Artificial Bee Colony Algorithm for Clustering Problem

Artificial Bee Colony Algorithm is one of the most recently introduced optimization algorithm which simulates the intelligent foraging behavior of honey bees. Aim of the project is to cluster the given data sets based on their attributes such that the classification error percentage is reduced/minimal.

Tools: C & Machine Learning.

Group Recommender System

Business Problem: Sophisticated system to learn group preferences and provide personalized recommendations.

Solution: Collaborative filtering with Social choice strategies.

Methodology: RTL Strategy along with Decision List Rule Learner.

Tools: C and Machine Learning.

POC’s

Solved problems in Kaggle competitions like Digit Recognition, Titanic: Machine Learning from Disaster, Santander customer satisfaction involving classification, regression.

Solution: Developed machine learning models to solve the problems.

Tools: R

PROFESSIONAL EXPERIENCE

Demand Manager July 2012 – Aug 2014

Company : JDA

Role : Application Developer

Team Size : 9

Demand Manager provides comprehensive support for the latest best practice of continuous Demand Management. The solution combines the best-of-breed statistical forecasting techniques, rule-based modeling, event-based planning, and real-time data synchronization, with easy-to-use multi-dimensional analysis capabilities.

Responsibilities:

Multiple regression for predicting the effect of causal factors (like promotions, festivals, etc.).

Preprocessing the data involving Handling outliers, Imputing missing values, Data standardization and Normalization

Written SQL Queries efficiently to validate least common grandparent rule (irrespective of type of the hierarchy) as part of the data cleaning (performance enhancement).

Worked on SAX parser for parsing XML data.

Worked on UI development using internal framework, based on XML and XPath.

Performed system integration testing, functional testing, regression testing and DB testing.

Handling internal and customer issues.

Environment: R, ABPP (JDA Proprietary), Java, Oracle and DB2.

Data Analyst Intern Sept 2009 – Feb 2010

Company : GoldStone Technologies

Role : Data Analyst

Responsibilities :

Formulated dashboards and reports for the inventory management system. Perfectly developed and maintained SQL scripts and queries depending on the report requirements.

Collected and analyzed the data of a community center. Transformed the data according to business requirements

EDUCATION

Fairfield University, CT May 2016

Masters in Computer Science GPA: 3.81/4

University of Hyderabad, India May 2012

Masters in Artificial Intelligence GPA: 8.5/10

Jawaharlal Nehru University May 2009

Bachelors in Computer Science GPA: 3.70/4

AWARDS & ACHIEVEMENTS

Received “JDA SPOT AWARD” for the performance enhancement of the product.

Received Pillar Team award for the “Demand Manager” Project.

Organized the event “TECHNOFEST 2K8” IARE.

Actively participated in the work shop on ‘SOFTWARE PROJECT MANAGEMENT’ held in IARE.

One of the top three players in school district in chess during 2002-2003.

EXTRACURRICULAR ACTIVITIES

System Administrator (University of Hyderabad)

oInstalling all required software for students’ lab and maintaining students account.

Teaching Assistant to Dr. Rusu (Fairfield University)

oRole: Assisted in Lab and Course work (Web technologies and development).

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