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Senior Software Engineer @IndiaMART CS PostGrad, IIIT Delhi
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Data_Structures_And_Algorithm-Coding
December 5, 2023 – December 10, 2023
Data_Structures_And_Algorithm-Coding — GitHub repository
View ProjectPrediction-of-DNA-Interacting-residues
March 2, 2021 – March 2, 2021
Given DNA Interacting residues, we have created model using various machine learning techniques to predict whether it is protine contained DNA or not.
View ProjectComputer-Security
February 25, 2021 – March 1, 2021
Computer-Security — GitHub repository
View ProjectStage-Classification-of-Liver-Cancer
November 28, 2020 – November 28, 2020
Stage classification of liver cancer patients from thier gene expression profile. Models used are : KNN, Naive Bayes, SVM, LSTM
View ProjectDiabetes-Prediction-Using-Ensemble-Techniques
November 28, 2020 – November 28, 2020
Diabetes is one of the most commonly known chronic diseases, leading to complications in health if it is unidentified and not diagnosed. Implemented various machine learning algorithms on the data collected from PIMA Indian Diabetes Database, which is sourced from the UCI Machine learning repository. applied machine learning techniques such as K Nearest Neighbors, Logistic regression, Naive Bayes, Decision trees, Gaussian process, Linear SVM, RBF SVM, Xgboost, Gradient boost, AdaBoost and Random forest. All these mentioned algorithms are applied to the normalized data. The performance comparison of the model is discussed based on the accuracy as an evaluation metric, along with a brief description of how every model is implemented in this paper. The voting classifier is applied on top of the best models from the above machine learning techniques listed.
View ProjectOpinion-and-Fact-Classification
November 28, 2020 – June 25, 2024
In the present-day technology huge amount of data is being generated every day. So, it’s turning out to be a challenging task to handle text-based data. In the world of text-based sentences it is not that simple to differentiate between fact and opinions. So, This project is to build the model that classifies/identifies facts from/and opinions in the given text by using various machine learning and deep learning techniques.
View ProjectClassification-of-B-cell-epitopes-using-Deep-Learning
November 3, 2020 – November 3, 2020
In this competitions, one had to develop models using TensorFlow (Python Library) to classify B-cell epitopes and Non-epitope. Developed model is clearly explained in "MT19132_Readme.pdf" file
View ProjectInformation-Retrieval
March 16, 2020 – June 7, 2020
Contains various methods and models that makes retriving of informtion more simplier.
View ProjectCultural Fit Analysis
The candidate's project portfolio indicates a strong interest in data science and machine learning, aligning with a Data Scientist role. The diversity of projects (bioinformatics, medical, NLP) suggests a broad curiosity and willingness to explore different domains. However, all projects are personal, which limits insight into team collaboration or professional work environments. The inclusion of 'LowLevelDesign' and 'Data_Structures_And_Algorithm-Coding' projects in Java, while not directly related to the target role, shows a foundational interest in software engineering principles.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, limiting insight into collaboration or problem-solving approaches.