Data Scientist @IBM | BITS Pilani Alumni.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Dataset_datascience
June 7, 2024 – October 16, 2025
Dataset_datascience — GitHub repository
View ProjectFinDoc-Intelligence
July 3, 2023 – July 12, 2025
In this repository we will be scrapping the 10k financial documents from us edgar portal. Also we will retrieve the specific content from each financial report.
View ProjectSentence-Similarity-Exploration
July 3, 2023 – July 12, 2025
Sentence similarity using various NLP techniques like : Stanford parser , TensorFlow universal sentence encoder, word2vec , doc2vec and other semantic similarity approach.
View Projectpython-mastery-sessions
May 20, 2023 – July 12, 2025
A comprehensive collection of Python tutorials covering fundamental to advanced concepts through 10 structured learning sessions.
View Projectmachine-learning-tutorial
May 8, 2022 – July 12, 2025
Machine Learning Algorithms & its implementation using Python / Scikit-learn.
View ProjectFakeNews-Identification
November 17, 2020 – November 17, 2020
Develop a machine learning program to identify when an article might be fake news
View Projectnlp-techniques-explorer
June 25, 2019 – July 12, 2025
A comprehensive repository exploring various Natural Language Processing (NLP) approaches and techniques, from traditional methods to modern deep learning implementations.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and focused on data science and NLP, which aligns with a Data Scientist role. However, the lack of diverse project types (e.g., team projects, open-source contributions, or projects outside core ML/NLP) and limited information on professional experience or education makes a comprehensive cultural fit assessment challenging. The 'experienceLevel' is 0, suggesting entry-level, which might not align with a senior Data Scientist role without further validation.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.