Machine Learning Enthusiast
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Student
Data Scientist
June 18, 2026 – Present
knowledge-distillation
August 1, 2020 – August 1, 2020
A teacher-student appproach in the supervised and unsupervised dataset framework.
View ProjectMLProjects
July 26, 2020 – July 26, 2020
A list of Machine Learning Learning based on classical ML and deep learning models.
View ProjectPlayML
July 25, 2020 – July 25, 2020
This is a simple toolbox with a lot of functionality on feature preprocessing, feature engineering and machine learning model with hyperparamters optimization.
View ProjectRecommender-System
January 26, 2020 – January 26, 2020
This is highly involved project on recommendation system with classical and advance method.
View Projectthesis-latex-iitk-format
January 17, 2020 – January 17, 2020
Thesis format in latex of IITK
View ProjectAlgorithm-DS-Problems
August 6, 2019 – January 12, 2020
This repo contains solutions for problems on Data Structure and Algorithms, from InterviewBit, LeetCode and HackerRank. Some problems are categorized topicwise as dp, graph, greedy, array, etc and others are in a random order. The complete list of problems and their source can be find in all_program_list file.
View Projectml-projects
July 24, 2019 – July 26, 2020
This repo contains various Data Science projects involving image, text, tabular and graph dataset with classical ML as well as Deep Learning.
View Projectml-toolbox
April 23, 2019 – July 1, 2020
This repo contains various data science strategy and machine learning models to deal with structure as well as unstructured data. It contains module on feature-preprocessing, feature-engineering, machine-learning-models, bayesian-parameter-tuning, etc, built using libraries such as scikit-learn, keras, h2o, xgboost, lightgbm, catboost, etc.
View Projectall-in-one-place
December 28, 2018 – January 17, 2020
all-in-one-place — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects show a strong personal drive in exploring diverse machine learning topics, which aligns with a proactive learning culture. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit. The 'Student' role with a future start date and no end date is unusual and provides limited insight into professional work ethic or collaboration.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.