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📫 Reach me at [email protected]

🖥️ Website: https://niharikatewari.github.io/

👩‍🔬 A Data Scientist and An Academician in the area of Data Science and Software Development. Eager to bring expertise to solve challenging problems and create story out of data.

🌱 Experience in Object-Oriented Programming styles of Python. Currently working on Deep Learning Projects.

💬 Ask me about BioMedical engineering with Computer Vision, Machine Learning and Deep Learning.

👯 I’m looking to collaborate in the field of Bioinformatics, Neuroimaging and area specific related to Graph Convolution Networks.

🚀 I love to attend webinars and conferences on Deep Learning.

⏲️ Exploring the confluence of Artificial Intelligence and Heathcare.

Research | Book | Chapters 📰

Research Paper Authors
Artificial Intelligence in Finance and Industry: Opportunities and Challenges Niharika Tewari
A Review of Omega Based Portfolio Optimization Niharika Tewari; Md. Imran Hossain Showrov; Vikash Kumar Dubey
Real-Time COVID-19 Prediction: An Ensemble-Based Machine Learning Approach Pradeep Kumar Nishad; Niharika Tewari

Tools | Frameworks 💻

🗺️ Web: NodeJS, MongoDB.

👌 Data Preprocessing: NumPy, Pandas.

🧠 Machine and Deep Learning Implementation Framework: Scikit-Learn, PyTorch.

:basecampy: Natural Language Processing: NLTK, BERT.

🌳 Development: Python, R Programming, SAS programming, SPSS, Flask, Django, Git.

🥇 Data Visualization: Matplotlib, Tableau, Power BI, Seaborn, GGPlot2, Plotly.Express, Bokeh.

☁ Cloud Services: AWS, Google Colaboratory, Kaggle kernel.

✍️ Integrated Development Environment: Jupyter-Notebook, Sublime Text, PyCharm.

Kubernetes Prezi LINUX Docker Keras NumPy Pandas Plotly PyTorch scikit-learn SciPy TensorFlow Adobe Photoshop Adobe Dreamweaver SQLite MySQL MongoDB MicrosoftSQLServer Apache NodeJS NPM Laravel Flask Flutter Code-Igniter Django Google Cloud Firebase Oracle Netlify Heroku AWS Azure R PHP Python LaTeX JavaScript HTML5 CSS3 C++ C# C

Github Stats ☄️

Niharika's GitHub stats Niharika's GitHub stats

Deployed Web Apps 🔭

Face Detection-HaarCascade App OpenCVImage App Machine Learning App Breast Cancer Flask App Machine Learning Model App RShinyApp App RShinyApp App RShinyApp App Image video Detection App

Github Contributions 🥇

Niharika's GitHub stats

Github Trophies 🏆

Niharika's GitHub stats

Niharika Tewari's Projects

apps icon apps

All machine learning app files can be found here

facedetectionhaarcascade icon facedetectionhaarcascade

Detection of faces in the images uploaded by the user. It uses HaarCascade Classifier for detection of Faces.

fmriprep icon fmriprep

fMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse fMRI data. The transparent workflow dispenses of manual intervention, thereby ensuring the reproducibility of the results.

gnnpapers icon gnnpapers

Must-read papers on graph neural networks (GNN)

ibgnn icon ibgnn

MICCAI 2022 (Oral): Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis

ibm-spss icon ibm-spss

SPSS Workings and dataset present here.

opencvapp icon opencvapp

Computer vision open cv app on images. Changing the color and orientation of images.

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