I'm a tech professional with over 8 years of experience in the field of Computer Science
consistently delivering impactful analytics solutions on over several successful projects empowering stakeholders to make informed decisions
proven ability to develop and deliver high-quality web development projects, and a demonstrated aptitude for research with 2+ publications
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Learning Analyst @ University of Nebraska System
SEP 2019-PRESENT
Worked on 10+ projects modeling large data sets to showcase student performance and behavior patterns to empower stakeholders to take informed decisions about students
Primary analyst on concept phase to roll-out of of in-house learning analytics LTI product called Course Insights
Received highest possible performance rating ‘Exceeds Expectations’ during the evaluation term February 2022-February 2023
Co-presented a case-study finding @ EDUCAUSE Annual Conference 2020, Evaluating Student Behavior and Outcomes in Online Testing
Regularly present LA findings and current work with peers across NU System, BTAA, and Unizin member institutions, fostering collaboration across academia
2. Software Engineer @ ReSource Pro
APR 2017-SEP 2019
Worked on 5+ projects to create transformative streamlined software solutions that automate commercial insurance processes such as new business, renewals, and account management, saving time by 70% to 90% for account managers and insurance service representatives
Collaborated extensively with peers in overseas development team (Bangalore, India), bridging the gap effectively between US-based stakeholders and them, and vice-versa
Mentored and provided technical guidance to a Junior UI Developer (located in Bangalore, India) which made them deliver quality front-end design for a project
3. Teaching Assistant @ School of Computing, University of Nebraska-Lincoln
JAN 2016-DEC 2016
Held office hours at least twice a week to meet and guide students with any questions they have regarding assignments/projects
Assisted faculty instructors with creating lectures, assignments, quizzes, exams, & projects, and with grading subsequent student responses
Courses TA’d:
4. Software Engineer Intern @ DataBankIMX
MAY 2015-DEC 2015
Rapidly acquired proficiency in web development and successfully created 2 responsive and engaging full stack web portals to manage electronic documents for notable local clients
5. Student Worker-Data Analyst @ Dept. of Child, Youth and Family Studies, University of Nebraska-Lincoln
SEP 2014-MAY 2015
Performed data cleaning, pre-processing, management, and statistical analysis on assessment data received via website GoNapSacc for a research project in the department
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.
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.
MS in Computer Science @ University of Nebraska-Lincoln · WES VERIFICATION
FALL 2014 - FALL 2016
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 Graphics • Numerical Analysis
• System Administration (UNIX) • Numerical Analysis • Algorithms • Advanced Computer Networks
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
