Varshita Sharma

Data Scientist

Chennai, Tamil Nadu, India2 yrs 10 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Achieved 99.5% accuracy in Named Entity Recognition model.
Expert in Machine Learning and Deep Learning for healthcare.
Developed cost-effective AI solutions for patient care.

Stackforce AI infers this person is a Data Scientist specializing in Healthcare AI solutions.

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Skills

Core Skills

Natural Language Processing (nlp)Deep LearningMachine LearningData VisualizationPython (programming Language)

Other Skills

AlgorithmsAnalytical TechniquesArtificial Intelligence (AI)Business InsightsBusiness RequirementsC++ChatbotsClient RequirementsCoding StandardsCommunicationComputer ScienceComputer VisionConvolutional Neural Networks (CNN)Data AnalyticsData Engineering

About

Bringing a robust academic foundation with an M.Tech in Artificial Intelligence & Machine Learning from IIT Hyderabad to my role as a Data Scientist at Accenture, I am at the forefront of developing cutting-edge machine learning models. My drive to harness Machine learning, Generative AI and Large Language Models is aimed at enhancing data analysis and improving patient care outcomes. My tenure as a Deep Learning Intern at Carelon Global Solutions was marked by the creation of a Named Entity Recognition model, which achieved 99.5% accuracy and facilitated the development of a cost-effective anonymization tool. At Accenture, this translates into a relentless pursuit of AI-powered solutions that optimize healthcare analytics through statistical modelling, predictive analytics and embody my commitment to innovation and excellence in the field.

Experience

2 yrs 10 mos

Total Experience

1 yr 5 mos

Average Tenure

1 yr 11 mos

Current Experience

Kantar

Data Scientist

Jul 2024 – Present · 1 yr 11 mos · Chennai, Tamil Nadu, India · On-site

Natural Language Processing (NLP)Generative Adversarial Networks (GANs)Deep Learning

Accenture

Data Scientist

Jul 2023 – Jun 2024 · 11 mos · Gurugram, Haryana, India · Hybrid

Building statistical Machine Learning/ Deep Learning models for healthcare domain.

Vector DatabasesSoftware Development Life Cycle (SDLC)PyTorchDeep LearningNatural Language Processing (NLP)Coding Standards+16

Carelon global solutions

Deep Learning Researcher

Jul 2023 – Sep 2023 · 2 mos · Gurugram, Haryana, India · Hybrid

Trained a Named Entity Recognition model with 99.5% accuracy for de-identification of healthcare and personal information of the registered
patients using BioBERT on GPU. Saved significant cost by building an in-house Anonymization tool.
Researching on Large Language Models like Falcon, LLaMA and to fine-tune them to target the problems of healthcare domain.
Learning to analyse and improve healthcare datasets.

Electronic Health Records (EHR)Scikit-LearnData ManipulationDeep LearningNatural Language Processing (NLP)

Office of career services, iit hyderabad

2 roles

Head Placement Coordinator

Jul 2022 – Dec 2022 · 5 mos · Hyderabad, Telangana, India · On-site

Actively handling the assigned responsibilities to smoothly conduct the placement process at IIT Hyderabad.

Presentation SkillsCommunication

Internship Coordinator

Jan 2022 – Apr 2022 · 3 mos

Presentation SkillsCommunication

Nestlé

Python Development Intern

Aug 2020 – Oct 2020 · 2 mos

Project: ’Operation Review Report Automation’ as an intern under the ’Nesternship Programme’.
Built a Python-based GUI that automates the generation of Operation Review Report in different departments like finance, production. All the generated reports were used by the employees for analysis of operations in various departments
in the company.
Utilized various Python Packages namely Pandas, Numpy, Matplotlib, TKinter, MS Excel and Seaborn for Exploratory
Data Analysis and to visualize different aspects of data.
Present reports to Lead regarding progress. It was used by the finance department for analysis and record purposes.

Microsoft ExcelProblem SolvingData MiningSoftware DevelopmentMatplotlibPresentation Skills+6