About Shalini Agarwal
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Viewed 802
About me
A software developer with 3+ years of experience working on building artificial intelligence-based tools for clients from the healthcare industry. A proactive person striving for excellence in all endeavors undertaken in life. Much of my software developer experience comprised of coding in Python with MS VS Code and Jupyter Notebook as editors, working in AWS Cloud Platform and leveraging multiple services such as Lambda, RDS, DynamoDB, EC2 etc., and analysing data in Power BI intelligence tool.
Currently pursuing MS in CSE from University at Buffalo SUNY, due to graduate in December 2023. Looking for internships in software engineering and development, full stack developer, and data scientist roles in Summer’23. Also, open to full-time roles starting December’23.
Technical Skill Set:
Languages: Python, HTML/CSS, JavaScript, PostgeSQL, C++
Tools & Technologies: Visual Studio Code, Jupyter, AWS Cloud Platform, Optical Character Recognition, Git, Power BI, Apache Solr, Latex
Libraries & Frameworks: NumPy, Pandas, OpenCV, NLTK, Tkinter GUI, Alexa Skill Kit, Pytesseract
Miscellaneous: Data Structure and Algorithms, Machine Learning, Natural Language Processing, Computer Vision
Being involved in various societies and extra-curricular activities right from school through college, I have enhanced various interpersonal skills, which include public speaking, problem-solving, organization skills, stress management, creative writing, and teamwork. Passionately looking for new challenges, which will allow me to put my skills to better use and further boost my personal development. Additionally, I like to read and discover interesting things in my past time. Actively involved in outdoor sporting activities.
Education
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2022 - 2023
State University of New York at Buffalo,
Master of Science, Computer Science and Engineering
Coursework: Algorithm Analysis & Design, Machine Learning, Information Retrieval, Data Model & Query Languages
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2015 - 2019
Thapar Institute of Engineering and Technology (TIET),
Bachelor of Engineering, Electronics Engineering,
Cumulative GPA: 8.94/10 Coursework: Artificial Intelligence Techniques, Robotics & Automation, Fundamentals of Microprocessors & Microcontrollers, Optimization Techniques, Numerical Analysis
Experience
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2019 - 2022
Wipro Ltd., Hyderabad, TG, India
Senior Software Engineer, Health IP & Innovations Team (Artificial Intelligence Practice)
Clinical Trials Feasibility Platform: Tech Stack- Power BI, SQL, Python, RDS, EC2, Data Preprocessing
● Developed a cloud enabled SaaS analytics platform on Power BI to assist pharmaceutical company stakeholders make informed trial
decisions from planning to execution and completion of clinical studies
● Implemented data wrangling techniques on data extracted from 4 public databases (Pubmed, clinicaltrials.gov, Open Payments, NPI)
using web APIs for 5900+ records in lung cancer therapeutic area
● Collaborated with domain experts to create a 7 screen BI dashboard each comprising of 15+ visualization charts using 21 data tables
Pharma Lab Virtual Assistant: Tech Stack- Python, Lambda, DynamoDB, Pandas, NumPy, Alexa Skill Kit, SES
● Conceived and built 3 virtual voice assistants for lab usage by scientists with functionalities- inventory management, safety assistant and
lab experiment knowledge, by applying Amazon Alexa Skill Kit software development framework
● Wrote 5 programs in Python, deployed in AWS Lambda and integrated it with 2 DynamoDB tables , Alexa Voice Development and SES
AI based medical code envisioning tool: Tech Stack- Python, NLTK, Tkinter, Pandas, Gensim, Pillow
● Constructed an automated ICD-10AM medical coding tool to suggest code scenarios on 2000+ lines of electronic health records (EHR)
● Applied NLP techniques of sentiment analysis, sentence segmentation and fuzzy string matching on EHR and computed medical
diagnosis with 80% accuracy
● Explored Word2vec for word embeddings utilizing shallow neural networks with Python- Gensim library
AI based indexing tool: Tech Stack- Python, OpenCV, Tesseract OCR, NLTK, Tkinter
● Upgraded an automated medical chart indexing tool to provide one-click access and keyword identification in chart sections of EHR
● Employed Tesseract OCR engine to read 2000+ pages scanned PDF EHR and Ghostscript to process nearly 1 lakh files
● Utilized multiprocessing and threading techniques to minimise processing time by 50% and improved tool efficiency