Data Scientist

Raghavendra Gunnai

**** ********* ******, *** *** Santa Clara, CA 95054

Phone: 203-***-**** ******.***********@*****.***

SUMMARY

A data scientist professional with 3.5 years of progressive experience in Data Analytics, Statistical Modeling, Visualization and Machine Learning. Excellent capability in collaboration, quick learning and adaptation.

Experience in integrating data, profiling, validating, data cleansing/ transformation and data visualization using R and Scala (for Spark).

In depth knowledge and hands on experience on Hadoop ecosystem (HDFS, Hive, Pig and Sqoop) and Bigquery.

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

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

PROFESSIONAL EXPERIENCE

Endurance Prediction Oct 2016 - Present

Company : SanDisk

Role : Data Scientist

Responsibilities:

Extracted the data from hive tables by writing efficient Hive queries

Performed preliminary data analysis using descriptive statistics and handled anomalies such as removing duplicates and imputing missing values.

Performed Dimensionality reduction using near zero variance and correlation techniques.

Build a Linear Regression Model to predict the Sector Failure Rate of a die at a given confidence level.

Implemented different models like Logistic Regression, Random Forest and Gradient-Boost Trees to predict whether a given die will pass or fail the test.

Environment: Spark 1.6.2, Hive, Scala & R (for POC).

Mobius Luminist Jan 2016 – April 2016

Company : ASG

Role : Java Developer

Responsibilities:

Handling internal and customer issues.

As part of an enhancement, added an additional parameter to the URL to redirect the user to the content based on the value of the added parameter.

Reporting the issues using JIRA.

Environment: Java, Google Dart and Maven.

Demand Management July 2012 – Aug 2014

Company : JDA

Role : Data Analyst

Responsibilities:

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

Preprocessing the data involving 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 (and performance enhancement).

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

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

Used PCA to find patterns, similarities and differences in the data in R.

Validating models using Accuracy, F1-Score, Roc Curve and the AUC in R.

Environment: R, 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 and transforming it according to the business requirements.

TECHNICAL SKILLS

Languages : Scala, R, C, Java & Python.

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

Big Data : Spark, Hadoop Ecosystem Cloudera Platform (HDFS, Hive, Pig and Sqoop), SQL

Visualization tools : Tableau and SAP Lumira

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

Operating Systems : Windows, Linux.

ACADEMIC & RESEARCH 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: Java & 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.

Password Manager (Android App)

Password Manager is an android app allow users to store the passwords, card details so that the users are not required to remember them. Details are stored in an encrypted format to assure security from hackings.

POC’s

Solved problems in Kaggle competitions like Digit Recognition, Titanic: Machine Learning from Disaster, Santander customer satisfaction involving classification and what’s cooking?

Solution: Developed machine learning models to solve the problems.

Tools: R

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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