Parnika Damle

Ehrenamt, Machine Learning Engineer, Omdena

Aachen, Deutschland

Fähigkeiten und Kenntnisse

Deep Learning
TensorFlow
Python
Maschinelles Lernen
Data Science
Neuronale Netze
Java
Data Analysis
Keras
Python pandas
NumPy
scikit-learn
Programming Language
Machine Learning
Mathematics
Computer Vision
Statistical Analysis
Multivariate data analysis
MatLab
Code
Artificial intelligence
SQL
Software Development

Werdegang

Berufserfahrung von Parnika Damle

  • Bis heute 1 Jahr und 3 Monate, seit März 2023

    Machine Learning Engineer

    Omdena

  • 3 Monate, Feb. 2023 - Apr. 2023

    Data Scientist

    Omdena

    • Volunteered for open-source projects aimed at analyzing high-dimensional, high-volume datasets, and developing innovative data science solutions for them. • Performed data pre-processing, analysis, and visualization using Python and Tableau. • Experience in feature selection and predictive analytics.

  • 1 Jahr, Jan. 2021 - Dez. 2021

    Adjunct Assistant Professor

    Indian Institute of Information Technology, Nagpur, India

    • Subject matter expert (SME) in Discrete Maths and Graph Theory, Python programming, and Machine Learning (ML). • Coaching undergrads with application-oriented content delivery using innovative pedagogical approaches. Designing complex problem statements simulating real-world scenarios for hands-on lab sessions.

  • 1 Jahr und 6 Monate, Juli 2019 - Dez. 2020

    Assistant Professor

    MIT ADT University, Pune, India

    • SME in Statistical Analysis and Programming, ML, and Multivariate data analysis • Co-principal Investigator on a 'Grape Analysis Research' project aimed at early detection of disease in grape plants through deep learning.

  • 5 Jahre und 2 Monate, Jan. 2015 - Feb. 2020

    Research Scholar

    Visvesvaraya National Institute of Technology (VNIT), Nagpur, India

    • Developed novel approach for classification of multivariate data using graph-based features and ML classifiers. • Designed graph-based classifiers to enhance the performance of this approach. • Devised novel approaches for the detection of alcoholic vs controlled drinkers and brain activity recognition using multivariate time series data (biomedical EEG signals).

  • 2 Jahre und 6 Monate, Juli 2012 - Dez. 2014

    Applications Engineer

    Oracle India Pvt. Ltd., Hyderabad, India

    • Design and development of UI, task flows, and other business components for Oracle Time and Labour (OTL) project in Agile manner. • Bug fixing, Unit testing, Integration and deployment of application across environments.

  • 8 Monate, Dez. 2009 - Juli 2010

    Assistant Systems Engineer – Trainee

    Tata Consultancy Services Ltd., Mumbai, India

Sprachen

  • Englisch

    Fließend

  • Deutsch

    Gut

  • Marathi

    Muttersprache

  • Hindi

    Muttersprache

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