Hi, I'm Snehila
Machine Learning Engineer/Enthusiast
An avid follower and learner of everything about machine learning and data science.
ContactAbout Me
My Introduction
A passionate and results-driven Machine Learning Engineer. With a strong foundation in data science, I have spent 4 years in the industry, collaborating with organizations to extract insights and build predictive models from data.
Skills
My Technical KnowledgeLanguages
Python
Java
C
C++
Libraries
NumPy
pandas
matplotlib
scikit-learn
TensorFlow
OpenCV
seaborn
Flask
Machine Learning
Linear and Logistic Regression
Decision Trees
Clustering
Convolutional Neural Networks
Recommender Systems
Exploratory Data Analysis
Databases and Viz
MySQL
Tableau
Qualification
My JourneyMSc - Data Science
Graz University of Technology, Graz, AustriaB.E. in Computer Science and Engineering
K.L.S. Gogte Institute of Technology, Belagavi, IndiaSenior Secondary School in Science
Kendriya VidyalayaSecondary School
Kendriya VidyalayaFreelance Data Scientist
FreelancingML Engineer
TATA Consultancy Services Ltd.Project Intern
Hindustan Aeronautics LimitedPortfolio
My Projects
Forest Cover Classification
Supervised Learning using XG Boost and Random Forest Classifier
Built a system for retrieval of food recipes given images of corresponding food
Beat the CCA baseline top-10 recall for recipe retrieval in the original im2recipe paper by 20 percentage points by using ResNet and BERT feature extractors and introducing cross-modality through a shared embedding layer
Implemented a second approach using triplet loss trained neural networks and attained median retrieval rank of 1 and top-10 recall of 82.49% for 1,000 random food images
Tech Stack
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Wafer Fault Detection
Classification using supervised learning
Developed algorithms for building YOLO model bagging and boosting ensembles
Obtained an average precision of 87.5% on the Flickr-32 dataset using a generic logo detector system of two boosted YOLO models
Tech Stack
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Certifications
Extra Courses I have Undertaken
IBM Data Science Professional Certificate
Expiry Date: No expiry
Neural Networks and Deep Learning
Expiry Date: No expiry
Machine Learning with Python
Expiry Date: Does not expire
Applied Data Science Capstone
Expiry Date: Does not expire
Blog
My Technical Articles
5 Minute Paper Explanations: Food AI Part I
Intuitive deep dive of the im2recipe paper “Learning Cross-modal Embeddings for Cooking Recipes and Food Images”
Read it!
5-Minute Paper Explanations: Food AI Part II
Intuitive deep dive of im2recipe related paper “Dividing and Conquering Cross-Modal Recipe Retrieval: from Nearest Neighbours Baselines to SoTA”
Read it!