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Analyst in Data Science stream with a demonstrated history of working in the information technology and service history
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Changepond Technologies Pvt Ltd
Data Scientist
June 16, 2026 – Present
Advanced-Student-Performance-Analytics
February 25, 2021 – February 25, 2021
Advanced-Student-Performance-Analytics — GitHub repository
View Projectfraud-detection-unbalanced-dataset-with-keras
February 24, 2021 – February 24, 2021
fraud-detection-unbalanced-dataset-with-keras — GitHub repository
View Projectdcument_classification
February 17, 2021 – February 17, 2021
dcument_classification — GitHub repository
View Projectweb_scraping
February 17, 2021 – February 17, 2021
Web Scraping in Python In this appendix lecture we'll go over how to scrape information from the web using Python. We'll go to a website, decide what information we want, see where and how it is stored, then scrape it and set it as a pandas DataFrame! Some things you should consider before web scraping a website: 1.) You should check a site's terms and conditions before you scrape them. 2.) Space out your requests so you don't overload the site's server, doing this could get you blocked. 3.) Scrapers break after time - web pages change their layout all the time, you'll more than likely have to rewrite your code. 4.) Web pages are usually inconsistent, more than likely you'll have to clean up the data after scraping it. 5.) Every web page and situation is different, you'll have to spend time configuring your scraper. To learn more about HTML I suggest theses two resources: W3School Codecademy There are three modules we'll need in addition to python are: 1.) BeautifulSoup, which you can
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and focused on core data science tasks. While relevant to the target role, the diversity of projects and technologies is limited to Jupyter Notebook. The single professional experience as a Data Scientist aligns with the target role, but without further details on team collaboration or project scope, cultural fit is difficult to fully ascertain. The experience level is listed as 0, which contradicts the current Data Scientist role, suggesting a potential data discrepancy or very early career stage.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.