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Data Scientist || Data Analyst
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Big-Mart-sales-prediction-using-LR-lasso-ridge-elasticnet
August 11, 2021 – August 11, 2021
Big-Mart-sales-prediction-using-LR-lasso-ridge-elasticnet — GitHub repository
View ProjectEmotion-detection-from-tweet
August 11, 2021 – August 11, 2021
Dataset : 'https://www.kaggle.com/pashupatigupta/emotion-detection-from-text'
View ProjectRemote-sensing-through-Deep-Neural-networks-for-satellite-image-classification-using-CNN
August 11, 2021 – August 11, 2021
Classification of Images using CNN
View ProjectEcommerce-customer-segmentation-using-cluster-analysis
August 11, 2021 – August 11, 2021
Grouping customers based on the similar characteristics
View ProjectDistinguishing-Skin-Cancer-from-Skin-Rashes
July 19, 2021 – July 19, 2021
The Objective is to distinguish Benign and Malignant Skin Rashes/Cancer.
View ProjectANTI-PHISHING-URL-INSPECTION-TECHNIQUE-FOR-DETECTING-FAKE-URL-S-USING-TF-IDF---HASHING-VECTORIZATION
July 19, 2021 – July 19, 2021
ANTI-PHISHING-URL-INSPECTION-TECHNIQUE-FOR-DETECTING-FAKE-URL-S-USING-TF-IDF---HASHING-VECTORIZATION — GitHub repository
View ProjectCyber-Crime-Prevention-Support-by-Predicting-Hate-Crimes-in-Google-Articles
July 17, 2021 – July 17, 2021
Questions: a. How good is the classification confidence when using Naïve Bayes and Decision Tree to classify news articles based on news titles? b. How will the classification confidence change when training with 5000, 7500, 10000 news titles in the dataset? c. How good the classification confidence improves while hyper tuning parameters of Naïve Bayes and Decision Tree? How to address. File name: RQ1 - Implementation of Naïve Bayes and Decision Tree.ipynb It should contains all preprocessing steps(already available) and implement both algorithm for 1000 dataset File name: RQ2 - Implementation of Naïve Bayes and Decision Tree for 5000, 7500, 10000 news titles.ipynb Should implement all preprocessing steps + implement both algorithm for 5000, 7500, 10000 dataset Classification report + Confusion matrix in visual File name: RQ3 - Hyper tuning parameters.ipynb Find the best dataset count suitable from RQ2 using evaluation metrics, hypertune parameters both algorithms Classification report
View ProjectFeature-Extraction-using-GLCM
July 17, 2021 – July 17, 2021
Extracting Features using GLCM for Single Image and Multiple Image from a folder
View ProjectCultural Fit Analysis
The candidate's projects primarily focus on individual contributions using Jupyter Notebooks, which suggests a preference for independent work. The diversity of project topics (image classification, NLP, regression, clustering) indicates a broad interest in data science domains, which could align with a dynamic team environment. However, the lack of team-based projects or collaborative tools in the descriptions makes it difficult to fully assess cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.