Julee Adesara

***** ******* **, *** # ** San Diego, CA-92126 Ph: 858-***-**** Email: ac1q0a@r.postjobfree.com SUMMARY

Bioinformatics and medical informatics graduate seeking a full time or internship opportunity to build a long-term career in Biotechnology, Pharmaceutical and Medical device industry, to effectively utilize my expertise and knowledge. EDUCATION

Complete and Practical SAS, Statistics & Data analysis Course Udemy

Coursework:

Base SAS, SAS/SQL, SAS/Macro, SAS/ODS, SAS/Graph, Data manipulation, Data management, statistical data analysis and report, tables, figures, data listing creation, knowledge of CDISC/SDTM, CDISC/ADAM specifications, FDA and ICH regulations, clinical trial data, medical/pharmaceutical terminology

Master of Science in Bioinformatics & Medical informatics GPA: 3.74 San Diego State University, USA August 2014 – May 2017 Skills & Coursework:

Data analysis with R (descriptive statistics, univariate & bivariate analysis, regression analysis, ANOVA, etc.), Bioinformatics algorithm and programming skills (python), Bioinformatics methods (Microarray data analysis), Probability and math. Statistics, Advanced Biostatistics (hypothesis study, experimental study design of clinical datasets), Database theory implementation (RDBMS, SQL, PL/SQL, JDBC), Algorithm and their analysis, data structure, Epidemiology of infectious diseases Master of Pharmacy in Pharmaceutical Chemistry CPI: 8.23 Gujarat Technological University, India August 2009 – July 2011 Skills & Coursework:

Drug design and discover, Medicinal chemistry, Organic chemistry, Analytical techniques, Chemistry of natural products Awards:

Scholarship for the year 2009 to 2011 (scored 94.75 percentile in all India level exam GATE, subject Pharmaceutical Sciences) Bachelor of Pharmacy Percentage: 68%

Gujarat University, India June 2005 – April 2009

Skills & Coursework:

Pharmaceutical analysis, Biochemistry, Pharmacology, Clinical and hospital pharmacy, Pharmacognosy, Anatomy, Physiology TECHNICAL SKILLS

Programming Languages: Java, Python, R, SAS, MATLAB, Html, JavaScript Computer skills: Unix/Linux, MS Office- Excel, Word, PowerPoint, Visio, ChemDraw Version control: Git

Database: SQL, MongoDB

WORK EXPERIENCE

Intern-Research, The Scripps Research Institute August 2015 – April 2017

Development of open source project- Rest API web service for querying Drug/Compounds Annotations

Cloud computing - AWS

Data mining of various biomedical (drugs/compounds) data sources

Data extraction, analysis, curation and integration of different data types (XML, JSON, CSV, TSV, etc.)

Data indexing with Elasticsearch

Developed python scripts using various modules (Pandas, numpy, csv, urllib, httplib, xmltodict) for MongoDB database

Enrichment analysis of drug targets with different enrichment tools

Used version control- Git

Working experience in Unix/Linux environment

Assistant Professor, Gujarat Technological University, India December 2011 – March 2012

Taken various Subjects like Pharmaceutical Chemistry, Medicinal Chemistry, Analytical Chemistry in Theory and Practical Classes of all the semester’s students

Visiting Faculty, Gujarat Technological University, India August 2011 – November 2011

Taken various Subjects of Pharmaceutical Chemistry of First, Second and Third B.Pharm students

Assessed and graded assignments students on weekly basis Research Student, Gujarat Technological University, India August 2010 – July 2011

Perform synthesis of compounds proposed to have the diverse Biological activity like anti-inflammatory, antifungal and antimicrobial activity

Execute NMR, MS and various separation and analytical methods for screening of drugs and intermediates prepared in the laboratory

Garnered the concepts and detail of receptor pharmacology and methods used in Medicinal Chemistry ACADEMIC PROJECTS

Controlling False Discovery Rate in Multiple Testing: fMRI Data for ASD

found out the association between functional connectivity measures of brain and behavioral measures of participants using multiple testing and controlling FDR using SPSS.

K-Nearest neighbor and Artificial Neural Network Classification Techniques for sickle cell anemia data

Data preprocessing, Principle component analysis, classify using k-NN and ANN in MATLAB Descriptive analysis, Model building and regression analysis of survey data

Data preprocessing, descriptive statistics and reporting, calculating parameter estimate, p-values, standard errors, finding relationship between outcome variable and predictors, building multiple logistic regression models and finding fitted model in R CERTIFICATIONS

Certified Pharmacy Technician California State Pharmacy, United States

Registered Pharmacist Gujarat State Pharmacy Council, India

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