LASYA REDDY EDUNURI

EDUCATION

B.S. in Computer Science (Bioinformatics Concentration) GPA – 3.1/4

The University of North Carolina at Charlotte, Charlotte, NC Aug 2017 - Dec 2020

Coursework: Introduction to Computer Science I and Computer Science II, Data Structures and Algorithms, Logic and Algorithms, Introduction to Bioinformatics and Genomics, Bioinformatics Computing, Business for Biotechnology. Applied Data Mining

Bachelor of Science in Biotechnology GPA – 3.5/4

St. Francis Degree College for Women, Hyderabad, Telangana, India Jun 2015 – May 2017

Coursework: Biochemistry; Microbiology; Biophysics; Immunology; Molecular Biology; rDNA technology; Chemistry

SKILLS

How to do statistical analysis with: Python using Pandas, NumPy, Matplotlib and Seaborn; R

Sequence alignment tools: BLAST, Clustal, MUSCLE Tools to obtain gene data sets: NCBI, Ensembl, GenBank

Programming Skills: Python, Using Scikit-Learn for Machine Learning Tasks; Have a thorough understanding of K-Means Clustering, Logistic Regression, Linear Regression, Random Forest and Decision Trees. General Skills: Multitasking, independence, curiosity, and Analytical reasoning.

EXPERIENCE

Project Trainee, Asian Institute of Gastroenterology, Telangana, India May 2017 – Jul 2017

Worked on the project, “Association of PEMT Gene in Liver NASH Disease.”

Learned how to isolate DNA from the collected patient samples, learnt how to use a NanoDrop to accurately read DNA concentration. Learned the process of developing a genomic protocol and gained hands on experience with Q PCR.

Understood how to read and dissect published protocols.

Jury Secretary, The Children’s Film Society of India (19th International Children's Film Festival India) Nov 2015 – Dec 2015

Organized and coordinated daily schedules of jury members.

Escorted jury members to screenings and assisted with declaration of results.

ACADEMIC PROJECTS EXPERIENCE:

Bioinformatics Computing Lab Project: Jan 2018 – May 2018

Introduced to Python as a statistical analysis software and to its applications in bioinformatics. Concepts applied included:

Python text manipulation

Reading and writing files

Generating functions, lists, and loops in Python

Using conditions, regular expressions, and creating dictionaries in Python

Applied Python: Finding sequence similarity, Web interactions, Large datasets and Tree structures, and web application.

Business of Biotechnology Presentations: November 2019

SMRT Sequencing and its applications: Developed a deeper understanding of this topic and have made and given a 15 min presentation in class. https://prezi.com/view/IWc76zF0ABi43smU2aRa/

LOCUS BIOSCIENCES – CRISPR Cas-3 Bacteriophage platform Technology: Have thoroughly researched on CRISPR technology and have made and given a 15 min presentation in class.

Working with Data sets: Jan 2020 –May 2020

Given a data set, found out which gene has the most disease associations using Python.

Found out what genes have similar disease annotations to a specific gene (Defined "similar" as Jaccard > 0.25)

Coded to find out how many genes do not have high disease annotation similarity against any other gene? (Defined “high similarity” as Jaccard > 0.5). Plotted a histogram of disease associations per gene in the full data set, did a scatter plot of DSI versus DPI for every gene. Analyzed the relationship of the two.

Created a Data Cube for the dataset using Python.

Social Endeavors (2016-18):

• Attended camps and participated in various outdoor activities as a Former cadet from 1(T) Girls Battalion with a “B” Certificate in the National Cadet Corps (NCC)

• Participant at the 8th Pink Ribbon Walk organized by a Breast Cancer Foundation (UBF) and The Association of Surgeons of India (Hyderabad, India)

•Volunteered as a note taker for the differently abled students at UNCC (Summer I, 2018).