ASMI PANIGRAHI

+1-571-***-**** https://www.linkedin.com/in/asmi-panigrahi https://github.com/Asmi8 EDUCATION

Virginia Tech Aug 2023 - Present

Master of Engineering(MEng) in Computer Science and Applications Vellore Institute of Technology Bhopal University July 2019 - May 2023 Bachelor of Technology in Computer Science and Engineering specialization in AI and ML TECHNICAL SKILLS

• Programming Languages

Python, R, Julia, Dart, C++, Javascript, SQL, Tableau.

• Technologies and Framework

Pandas, VS Code, React, Google Cloud AI Platform, Matplotlib, Seaborn, TensorFlow, PyTorch, Scikit-learn, Keras, Numpy, Apache Spark ML lib, Microsoft Excel, Relational Databases, No SQL Databases, Time Series Databases, Pandas.

• Artificial Intelligence and Machine Learning Head During my bachelor’s university, I organized tech events and mentored and led coding competitions like Hackathons, Kaggle, and HaliteAI, fostering community growth. EXPERIENCE

AI and ML Intern

Bosontech IT Services and Private Limited May 2022 - July 2022

• Supplier Segmentation and Optimization - We harnessed AI/ML for supplier categorization and supply chain optimization, yielding a 30 percent faster data processing or 25 percent shorter model training. We also crafted informative visualizations with Heatmaps and Dendrograms for supplier clusters and oversaw end-to-end ML operationalization.

Additional Experience: Co-Founder

Appisteme Private Limited Jan 2020 - Jan 2022

• Three years of experience as an entrepreneur, product manager, and full-stack developer with expertise in React, Java, JavaScript, NoSQL, SQL, and Flutter, specializing in data-driven tech solutions like

’Saudapatra’

ACADEMIC PROJECTS

Wild Plants Edibility Prediction

• Integrated CNN-based image classifier with Flask web interface for wild edible plants. Sentiment Analysis of Facebook Comments on Brand-Sponsored Posts

• Utilizing NLTK, Keras, Matplotlib, Tokenizer, Count Vectorization, LSTM, Embedding, and Dense, the project involved collecting product reviews and comments from specialized review platforms. Credit Card Fraud Detection

• Performance is evaluated with precision, recall, F1-score, and ROC AUC, while ensemble methods like Random Forest, Gradient Boosting, and XGBoost enhance accuracy for fraud detection. Indian Sign Language and Hand Gesture Recognition and its Translation to Speech

• Using Computer Vision and a CNN model, the project translates Indian sign language into Hindi through a single-page web app deployed on Heroku, enabling communication for the deaf and mute. AI Translator

• Built an RNN-based translator (Keras) converting English to Chinese, deployed on Heroku, and trained on 1000 sentence pairs.

Parkinson Disease - Gait Analysis using ML Algorithms - Ongoing Research Paper