Data Analyst

RAJESH JAISWAL

* ****** ***** *****, *** *, Springfield, IL 62704 •+1-217-***-**** • ****************@*****.*** • LinkedIn URL• Portfolio

SUMMARY

Microsoft and SAS certified, Highly-skilled data analyst bringing more than 4 years of expertise in Big Data Technology (Microsoft Azure, Hadoop), Data Analysis (Python, Scala), and Data Visualization (Tableau, SAS, R). Thrive to use econometric, detail-oriented, and to fast-paced approaches to solve real-time business problems for organization.

Saved $300K/year operation cost of Global Database Administrator team, saved 267 days’ database team work.

Winner of Summer GIO Hackathon 2015 at JOHN DEERE

CERTIFICATIONS

Microsoft Design and Implement Big Data Analytics Solutions G177-0614 06/2017-Present

SAS Certified Base Programmer SAS9 BP070436v9 05/2017-Present

IBM Certified Database Associates 03/2013-Present

TECHNICAL SKILLS

Programming Languages: Java, PL/SQL, JCL, COBOL

Analytics Languages: R, Python, SQL, Scala, SAS

IDE: RStudio, Eclipse, Intellij, PyCharm, PySpark, Weka

AWS Technologies: S3, EC2, SQS, SNS, EMR

Databases: Mainframe, Oracle, NoSQL, MySQL, ETL

Web Development: Java Script, HTML, CSS

Big Data Technologies: MapReduce, Hive, Spark, HBase, Pig, Yarn, Redshift, Apache Azure, Kafka, Zeppelin, Flume

Data Visualization: Tableau Desktop & Server, IBM SPSS, Minitab, QlikView, Weka, Power BI, Excel

EXPERIENCE

JOHN DEERE Pune, India Data Analyst 08/2014-08/2016

Industrialized analytical models for Supply Chain, Finance, Product selling teams and reengineered those model with higher performance. Employed time series algorithm on product selling data to visualize product selling success.

Presented more than 15 impactful visualization dashboards and story ideas by employing Tableau desktop and server, Excel, pivot tables, SQL queries, Power BI, SAS and Visual Basic macros.

Leveraged Sentiment analysis to established consumers feedback system by MapReduce and text mining in java.

Developed and systematized end-to-end statistical analysis models on high-volume data sets consuming Python, R, Hadoop, and MapReduce to resolve issues of stakeholders under tight deadlines.

JOHN DEERE Pune, India Associate Data Analyst 07/2012-08/ 2014

Collaborated extensively with Data Pre-Processing, Data Cleaning, and Data Gathering from client using ETL tools.

Extracted, compiled and tracked data, and analyzed data to generate reports in a variety of formats Excel, PDF, Tableau and SAS dashboard

Modelled data structure for Finance, Order management and Supply chain teams project data store using mainframe.

ACADEMIC PROJECTS Master of Science 08/2016-08/2017

Research Project Associates (University of Illinois at Springfield):

Working on medical health care data to predict pattern and demographic spread of pediatric cancer with imagery data. Applied advanced machine learning algorithm (CNN) and attended 72 % confidence.

Allstate Claims: Proposed a minimum cost model for successful insurance application process.

Industrialized analytical model with Accuracy of 82% on 1.5GB large dataset using pandas, scikit-learn and NumPy

Green Plate Subscription Cancellation Challenge: Predicted consumer’s sentiment to cancel subscription 08/2016-10/2016

Designed predictive statistics model 1.2 GB data by Decision Tree attended Accuracy of 96% using

IB2 and IB3 Implementation: Implemented Nearest Neighbor Algorithm using Weka APIs and Java Libraries

Yelp Dataset Analysis:

Implemented MapReduce, Sentiment Analysis, Locality sensitive hashing, Page Rank, Recommender and ml-library on yelp dataset. Used Hadoop, Spark, Hive, Scala

EDUCATION

Master of Science(MS): Computer Science, University of Illinois at Springfield, Springfield GPA 3.9/4 07/2017

Bachelor of Engineering(BE): Computer Science, University of Pune, India Percentage 68/100 07/2012

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