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Hire Dr. Saraswati K.

India

USD 11 /hr

Data Scientist | Expert in Sensor Data Analysis, Machine Learning & Material Informatics | Feature Extraction & Classifi

Profile Summary

I am a Ph.D. graduate with extensive experience in sensor data analysis, machine learning, and material informatics. My research focused on data collection, feature extraction, and classification from point-of-care medical devices, particularly breath sensors for disease diagnostics. I have expertise in analyzing and quantifying sensor data, handling real-time data processing, and applying machine learning algorithms for classification tasks. Additionally, my Master’s in Nanotechnology has equipped me with skills in material characterization, thin-film deposition, and material informatics. My experience spans data analytics, experimental research, and predictive modeling, making me proficient in handling interdisciplinary challenges at the intersection of AI, sensors, and materials science.

Subject Matter Expertise

• ☆ Electrical Engineering
• ☆ Semiconductors
• ☆ Data Analysis
• ☆ Predictive Modeling & Analytics
• ☆ Data Processing
• ☆ Data Collection
• ☆ Machine Learning
• ☆ Data Cleaning
• ☆ Pattern Recognition
• ☆ Artificial Intelligence
• ☆ Computer Vision
• ☆ Medical Devices
• ☆ Medical Device Development
• ☆ Wearable Technology
• ☆ Medical Device Prototyping

Services

• Writing
• Research
• Data & AI
• Product Development

Writing Technical Writing

Research User Research, Feasibility Study, Technology Scouting, Fact Checking, Gap Analysis, Gray Literature Search

Data & AI Predictive Modeling, Statistical Analysis, Image Analysis, Algorithm Design-Non ML, Algorithm Design-ML, Data Visualization, Big Data Analytics

Product Development Formulation, Recipe Development, Stability/Shelf Life Testing, Product Evaluation, Material Sourcing, Manufacturing

Work Experience

JUNIOR RESEARCH FELLOW

Indian Institute of Technology Dharwad

July 2019 - August 2020

Education

PhD (EECE)

Indian Institute of Technology Dharwad

September 2020 - November 2024

M.Tech

Visvesvaraya Technological University

August 2015 - January 2018

B.Tech.

Appa Institute of Engineering and Technology

July 2011 - May 2015

Certifications

• Certification details not provided.

Publications

JOURNAL ARTICLE

Saraswati Kulkarni, Ruma Ghosh (2024). Selective discrimination and accurate quantification of five target vapors among multiple vapors using 2D CuO and Co₃O₄ sensors . Physica Scripta.

Saraswati Kulkarni, Ruma Ghosh (2024). Ultra-sensitive CuAl2O4 Nanoflakes for ppb level detection of Isopropanol . Ceramics International.

Saraswati Kulkarni, Ruma Ghosh (2024). Development of 2D CuO based chemiresistive sensors for detecting binary mixture of volatile organic compounds and investigation of the adsorption kinetics via Eley-Rideal mechanism . Applied Surface Science.

Saraswati Kulkarni, Guruprasad Gorthala, Ruma Ghosh (2024). Detection of NO₂ and 2-Nitrotoluene by MoS₂–ZnO Composite . IEEE Sensors Journal.

Saraswati Kulkarni, B. N. Bharath, Ruma Ghosh (2023). CuO Nanowires-Based Resistive Sensor for Accurate Classification of Multiple Vapors . IEEE Sensors Journal.

Saraswati Kulkarni, Ruma Ghosh (2023). CuO–ZnO p-n junctions for accurate prediction of multiple volatile organic compounds aided by machine learning algorithms . Analytica Chimica Acta.

Saraswati Kulkarni, Srividya Kummara, Guruprasad Gorthala, Ruma Ghosh (2022). CuO Nanoflake-Based Sensors for Detecting Linalool, Hexanal, and Methyl Salicylate . ACS Agricultural Science & Technology.

Saraswati Kulkarni, Sowmya Joshi, Gorthala Guruprasad, Ruma Ghosh (2022). Reduced Graphene Oxide Based Electronic Sensors for Rapid and Label-Free Detection of CEA and CYFRA 21-1 . IEEE Sensors Journal.

Saraswati Kulkarni, Ruma Ghosh (2021). A simple approach for sensing and accurate prediction of multiple organic vapors by sensors based on CuO nanowires . Sensors and Actuators B: Chemical.

BOOK CHAPTER

SARASWATI KULKARNI (2023). Resistive Sensors for Continuous Monitoring of Air Pollution. Organic and Inorganic Materials Based Sensors.