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Shatakshi Singh

Shatakshi Singh

R&D Intern — Athena Health Pvt. Ltd.

India flagBangalore, India
$20.00/hrIntermediateOtherAppenArgilla

Key Skills

Software

Other
AppenAppen
ArgillaArgilla
CrowdSourceCrowdSource
iMeritiMerit
DataloopDataloop
Axiom AI

Top Subject Matter

Medical/NLP Entity Extraction
Finance
Retail

Top Data Types

TextText
ImageImage
DocumentDocument

Top Task Types

Entity Ner Classification
Segmentation
Classification
Bounding Box
Question Answering
Text Summarization
Fine Tuning
Evaluation Rating
Computer Programming Coding

Freelancer Overview

R&D Intern — Athena Health Pvt. Ltd.. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Master of Science, Georgia Institute of Technology (2024) and Bachelor of Technology, Mody University of Science and Technology (2022). AI-training focus includes data types such as Text and labeling workflows including Entity (NER) Classification.

IntermediateEnglish

Labeling Experience

R&D Intern — Athena Health Pvt. Ltd.

OtherTextEntity Ner Classification
Developed an NLP-based entity extraction system to parse scanned medical documents and populate structured databases. Retrained models with POS tagging features to improve extraction accuracy, focusing on labeling entities in textual data. Contributed to the end-to-end ML pipeline, including data preprocessing and iterative model training for improved recognition of medical entities. • Labeled entities in medical documents for named entity recognition (NER) tasks. • Enhanced entity extraction by adding POS tagging features to annotated datasets. • Utilized Python and NLP libraries to assist in annotation and preprocessing tasks. • Improved accuracy of the entity extraction model through iterative labeling and retraining.

Developed an NLP-based entity extraction system to parse scanned medical documents and populate structured databases. Retrained models with POS tagging features to improve extraction accuracy, focusing on labeling entities in textual data. Contributed to the end-to-end ML pipeline, including data preprocessing and iterative model training for improved recognition of medical entities. • Labeled entities in medical documents for named entity recognition (NER) tasks. • Enhanced entity extraction by adding POS tagging features to annotated datasets. • Utilized Python and NLP libraries to assist in annotation and preprocessing tasks. • Improved accuracy of the entity extraction model through iterative labeling and retraining.

2022 - 2022

Education

M

Mody University of Science and Technology

Bachelor of Technology, Computer Science and Engineering

Bachelor of Technology
2018 - 2022
G

Georgia Institute of Technology

Master of Science, Computer Science

Master of Science
2024

Work History

L

Lowe's India

Data Engineer

Bangalore
2024 - Present
L

Lowe's India

Associate Data Engineer

Bangalore
2022 - 2024