I'm a tech professional with over 8 years of experience in the field of Computer Science

EXPERTISE & EXPERIENCE
View details of technical skills HERE.

SEP 2019-PRESENT

TABLEAU, R PROGRAMMING, PYTHON, SQL, STATISTICS, GITLAB

2. Software Engineer @ ReSource Pro      

APR 2017-SEP 2019

ASP.NET MVC 5, C#, HTML5, CSS3 Bootstrap, JAVASCRIPT, jQUERY, SQL, SALESFORCE (DEV), AZURE ML, MICROSOFT COGNITIVE SERVICES, BITBUCKET

3. Teaching Assistant @ School of Computing, University of Nebraska-Lincoln

JAN 2016-DEC 2016

PROBLEM SOLVING, DATABASE SYSTEMS, JAVASCRIPT

4. Software Engineer Intern @ DataBankIMX

MAY 2015-DEC 2015

ASP.NET MVC5, C#, HTML5, CSS2 Bootstrap, SQL 

5. Student Worker-Data Analyst @ Dept. of Child, Youth and Family Studies, University of Nebraska-Lincoln

SEP 2014-MAY 2015

MS-EXCEL, IBM-SPSS

EDUCATION

SPRING 2024 - Course: Statistical Methods (EDPS 859) 

Final Grade and GPA: A | 4.0

TOPICS: Computation and interpretation of measures of central position, variability, and correlation; introduction to sampling, probability, and tests of significance.


SPRING 2021 - Course: Intro to Data Mining (CSCE 874) 

Final Grade and GPA: A | 4.0

CAPSTONE: Connecting Genomic Data to Phenotypic Expression in Maize

A project featuring biological data set of a panel of maize inbred plants’ genotype profile and phenotype expressions, to derive meaningful associations, including the determination of maize yield levels(high, medium, low) in relation to these observed (geno+pheno)type traits

I actively contributed to perform discretization on the voluminous data set, and subsequently conducted association rule mining to generate item sets of key features such as cob length, ear mass, weight of kernels and their relevant yield category mentioned earlier.

VIST GIT REPO


SPRING 2020 - Course: Beginner French I (FREN 101) 

Final Grade and GPA: A | 4.0

TOPICS: Main emphasis on the development of comprehension of written and spoken French; reading of simple texts dealing primarily with contemporary France and French life; oral and aural drill supplemented by practice in language laboratory.

THESIS: Testing the Independence Hypothesis of Accepted Mutations for Pairs of Amino Acids in Protein Sequences

A computer-based study to test if the pairwise mutations of adjacent amino acid pairs in protein sequences are independent of each other under the assumption that single mutations are usually independent of each other, according to evolutionary studies 

COURSEWORK: 

Data Visualization Advanced Database Systems Computer GraphicsNumerical Analysis

System Administration (UNIX) Numerical Analysis Algorithms Advanced Computer Networks

RESEARCH PUBLICATIONS 

CONFERENCE PAPER : J.Ramanan, P.Z.Revesz, Mutations of Adjacent Amino Acid Pairs are not Always Independent
INASE Conference, Crete Island, Greece, October 17-19, 2015

JOURNAL PAPER: J.Ramanan, P.Z.Revesz, Testing the independence hypothesis of accepted mutations of adjacent amino acids in protein sequences International Journal of Biology and Biomedical Engineering, 11, 170-179, 2017