Neeraj Bhadani
Data ScientistGuwahati, Assam, IndiaMember since June 20, 2026
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
kw-airflow-spark-aws
June 4, 2025 – June 4, 2025
kw-airflow-spark-aws — GitHub repository
View ProjectAmazon-Book-Scraper-Selenium-Flask-App
October 5, 2020 – October 5, 2020
This app uses selenium to scrape details of books from amazon's website and display results on the local machine using Flask. If you're using this code, make sure you download chromedriver.exe as per the version of your Google Chrome.
View ProjectWeb-Scraping-Flask-MongoDB-Heroku
September 9, 2020 – September 26, 2020
Web scraping web application. Data scraping from flipkart.com using beautiful soup library and created flask web app and hosted on local machine. Data scraped is stored in mongoDB. Also, deployed in Heroku.
View ProjectCardiovascular-disease-classification-INeuron
June 13, 2020 – June 13, 2020
This is a problem statement from ineuron hackathon challenge. I used various classification algorithms
View ProjectHouserent-Prediction-challenge-INeuron
May 26, 2020 – October 11, 2020
Houserent-Prediction-challenge-INeuron — GitHub repository
View ProjectHouse-Price-Prediction-Kaggle
May 26, 2020 – May 26, 2020
House-Price-Prediction-Kaggle — GitHub repository
View ProjectPython-Programs
August 2, 2019 – August 2, 2019
Python Programs I learnt to build with my coursera course 'Python For Everybody"
View ProjectFace-Recognition-in-Python
August 2, 2019 – August 2, 2019
A simple Face Recognition Program using OpenCV in Python
View ProjectData-Retrieving-Visualization-using-Python
June 25, 2019 – August 2, 2019
Analyzing an EMAIL Archive from gmane and vizualizing the data using the D3 JavaScript library.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic in nature, indicating a self-driven learning approach. However, the lack of team-based projects or professional experience makes it difficult to assess collaboration and broader cultural fit within an organizational setting. The projects align with a Data Scientist role, but the breadth of technologies and depth of application are limited.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, and there are no completed psychometric or English tests.