Developer Software

Rama Narayana Reddy

Lakkireddy

Certified MarkLogic Developer

Aiming to leverage a proven knowledge of programming, database development, and network security for professional and organizational growth.

*****************@*****.***

469-***-****

DENTON, TEXAS, Zipcode: 76201, USA

sites.google.com/view/lakkireddyramanarayanareddy/home linkedin.com/in/lakkireddy-rama-narayana-reddy

EDUCATION

08/2019 – Present

Master's in Data Science - Graduate

Research and Teaching Assistant

UNIVERSITY OF NORTH TEXAS

Denton, TX

CSCE 5215-

MachineLearning

INFO 5501 - Fundamentals

of Data Analytics ·

DSCI 5350- Big Data

Analytics

INFO 5737 - Information

and Cyber-Security

07/2013 – 05/2017

Bachelor of Technology Computer Science

JNTU COLLEGE OF ENGINEERING, Hyderabad

Hyderabad, India, GPA: 3.6

Predictive Analytics. CyberSecurity.

Mathematics and

Computing.

DatabaseManagement.

Project- LogFile Analysis

using Bigdata.

Project - KidSafeguard

using Internet of Things

(IOT)

WORK EXPERIENCE

08/2017 – 08/2019

Certified Software Developer(DataScience)

Valuemomentum

Hyderabad, India

• Experience in ML Data Hub Framework for the creation of Data Hub in MarkLogic to integrate Data Silos. • Developed MarkLogic UnitTesting automation framework for testers for doing the regression testing and achieved 90% accuracy and time frame from 10 hours to 1 hour in completing the unit-testing. • Involved in environment up-gradation to MarkLogic versions 7, 8 and 9. • Developed Web Application using X-query and Marklogic API with HTML. • Experience in MarkLogic Rest APIs and worked on Search functionality, Resource Service Extensions • Experience in MarkLogic search API like cts: search and search: search. • Experience in creating Hive tables and queries using HiveQL • Experience in Hive partitioning and bucketing to optimize performance. • Worked on Machine Learning Supervised Algorithms for regression-based number predictions and Unsupervised Algorithms for insurance Fraud Detection. • Experience in building different X-query search solutions. • Extracted data from log files and push into HDFS using Flume.

Contact: Manoj Vishwanadha- Technical Lead – +919********* SKILLS

● MachineLearning, NaturalLanguageProcessing,

DeepLearning, Python Regex, Big Data Ecosystems:

Hortonworks, Hadoop, MapReduce, HDFS, HBase,

Zookeeper, Hive, Pig, Sqoop, Flume, Spark ● MarkLogic Skills: MarkLogic Administration, Corb, Gradle, RESTAPI, Search API, Schemas, MarkLogic ContentPump. ●

Programming languages: Python, R, SAS, Java, Scala, C, Html. ● Databases: Oracle, SQL, MY SQL, NoSQL(

MarkLogic) ● Tools: ETL, MSBI SQL Server, Tableau, MS Excel, Net Beans IDE, Jupyter Notebook ● Operating System: Windows 7,8,10, MAC, Linux mint 19.2, Ubuntu18.10

● Others: Basics of Arduino & Raspberry Pi 3.

PROJECTS

Candidates Rank prediction using Python Deep Learning for contribution towards Coding Community.

(09/2019 – 12/2019)

I used Python and Deep Learning algorithms which help in scraping, aggregating, and assessing the technical ability of a candidate based on publicly available sources like Github, StackOverflow, CodeChef, Codebuddy, Codeforces, Hackerearth, SPOJ, GitAwards, etc. Once the data is collected, the algorithm then defines a comprehensive scoring system that grades the candidate’s technical capabilities based on the following factors: Ranking Number of Problems Solved, Activity, Reputation, Contribution, Followers. The candidate is then assigned a scored out of 100. This helps the interviewer get a full view of a candidate’s abilities and hence make an unbiased, informed decision. Insurance Fraud Claims Detection using Machine Learning

(04/2019 – 09/2019)

In this project, I Developed a Machine learning model using Decision tree(DT), Random Forest(RF), Naïve Bayes(NB) algorithms by training the algorithm with train and test datasets to detect the fraud claims in the auto/vehicle insurance and compared the performance by calculating the confusion matrix, which help to calculate accuracy, precision, and recall and achieved the accuracy of about 85% in predicting the fraud claims.

CERTIFICATES

Certified MarkLogic Developer

Certified Information Systems Security

Professional(CISSP) Cert Prep: Asset Security

(08/2019 – Present)

Internship on Big-Data Technology at National

Informatics Centre (NIC) (12/2016 – 03/2017)

IOT Product Development Hackathon

(03/2016 – 05/2016)

Swecha Industry Training Boot camp

(09/2015 – 09/2015)

Courses

Courses

Achievements/Tasks

Contact this candidate