
Sr. Data Scientist @ JPMorganChase Developing tools and best practices for machine learning production.
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
JPMorgan Chase
Data Scientist
June 16, 2026 – Present
transformers-on-macbook-m1-gpu
October 30, 2022 – November 5, 2022
transformers-on-macbook-m1-gpu — GitHub repository
View Projectdpr-tf
June 23, 2021 – June 27, 2021
Dense Passage Retrieval using tensorflow-keras on TPU
View ProjectGitHub-Bugs-Prediction-Challenge
October 8, 2020 – November 4, 2020
Predict the bugs, features, and questions based on GitHub text data.
View Projectnlp_notebooks
August 23, 2020 – December 20, 2022
Tensorflow, Pytorch, Huggingface Transformer, Fastai, etc. tutorial Colab Notebooks.
View ProjectModelX
August 10, 2019 – May 30, 2021
Collection of NLP Model Architectures that can be use with Keras Model API i.e. BiLSTM,Dense etc
View Projectawesome-daily-blog
August 8, 2019 – November 28, 2021
awesome-daily-blog — GitHub repository
View ProjectTraffic-Congestion-EDA
August 3, 2019 – September 7, 2019
The exploratory data analysis for the road traffic data-sets used in the Traffic Congestion project.
View Projectnlp_preprocessing
July 16, 2019 – August 16, 2020
Text Preprocessing Package includes cleaning, tokenization, dataset preparation ...etc
View ProjectKaggle-Data-Geek-Bot
August 10, 2018 – August 31, 2018
Kaggle-Data-Geek-Bot — GitHub repository
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards self-driven learning and exploration in data science, particularly in NLP. The current role at JPMorgan Chase as a Data Scientist aligns well with the target role. However, the projects are predominantly personal and lack explicit team collaboration or large-scale production system experience, which might be a consideration for cultural fit in a collaborative enterprise environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.