Dheeksha D.

Key Skills

Software

No software listed

Top Subject Matter

Clinical healthcare analytics

biomedical/clinical datasets

pattern analysis

Top Data Types

Text

Image

Document

Top Task Types

Data Collection

Diagnosis

Freelancer Overview

Clinical Research & Analytics Associate. Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include N, A, and Internal. Education includes Master of Science, NASSCOM FutureSkills Prime (2025) and Master of Technology, Karunya Institute of Technology and Sciences (2023). AI-training focus includes data types such as Medical, DICOM, and Text and labeling workflows including Data Collection, Diagnosis, and Evaluation.

Labeling Experience

Data Science Intern

Data Collection

Developed full-stack machine learning solutions from data extraction through model deployment using Python, SQL, and cloud-based frameworks. Built visualization systems using Power BI and Tableau to provide real-time insights for stakeholders. Worked in agile and version-controlled workflows to mirror production data team practices. • Supported end-to-end preparation of datasets for ML development. • Contributed to model deployment workflows and iterative improvements. • Used version control (Git) within collaborative ML development cycles. • Produced business-facing reporting/visualizations from model outputs.

2025 - 2025

Data Analyst Intern

Text

Engineered production-ready data science workflows covering extraction, preprocessing, model building, evaluation, and deployment. Optimized ML pipelines on large-scale datasets (10M+ records) in collaboration with senior data scientists to reduce processing time. Implemented automated data quality checks and validation protocols to ensure downstream modeling accuracy. • Prepared and validated large datasets for supervised ML training. • Implemented quality assurance checks to reduce labeling/model input errors. • Built dashboards and executive reports from analyzed results. • Supported iterative pipeline tuning using evaluation feedback.

2025 - 2025

Research Scholar - AI for Infectious diseases & Clinical POC Diagnostics

Diagnosis

Architected AI-driven diagnostic systems integrating biosensing, microfluidics, and mobile platforms for rapid pathogen detection. Developed and deployed machine learning algorithms analyzing viral epitope datasets to identify SHV1 and KPC-2 pathogens with high accuracy. Built end-to-end predictive healthcare pipelines processing 50K+ clinical samples to enable real-time point-of-care diagnostic capabilities. • Transformed biosensing/epitope and clinical samples into model-ready training inputs. • Labeled and/or validated diagnostic targets based on pathogen identity outcomes. • Built and evaluated predictive models for clinical decision support. • Collaborated with clinicians and engineers to ensure clinical applicability and scalable deployment.

2023 - 2024

Clinical Research & Analytics Associate

Data Collection

Conducted structured data collection and preprocessing for 200+ medical case studies supporting AI-based clinical pattern analysis. Applied early-stage machine learning methods to identify treatment effectiveness trends across patient cohorts. Worked with multidisciplinary teams to translate qualitative clinical insights into data-driven pilot programs. • Curated and cleaned clinical datasets for downstream modeling. • Supported cohort-level analysis for treatment effectiveness signals. • Assisted with preparation of inputs for ML training and evaluation. • Collaborated with clinicians and researchers to align data with study goals.

2020 - 2022

Education

Work History