Self-taught data professional, passionate about Analytics and Machine learning.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
PyJaipur-Summer-of-Algorithm
July 12, 2019 – July 15, 2019
This repository contains assignments for weekly proposed machine learning track.
View Projectphishing-URL-detection
November 23, 2018 – July 10, 2019
Phishing website detection system provides strong security mechanism to detect and prevent phishing domains from reaching user. This project presents a simple and portable approach to detect spoofed webpages and solve security vulnerabilities using Machine Learning. It can be easily operated by anyone since all the major tasks are happening in the backend. The user is required to provide URL as input to the GUI and click on submit button. The output is shown as “YES” for phishing URL and “NO” for not phished URL. PYTHON DEPENDENCIES: • NumPy, Pandas, Scikit-learn: For Data cleaning, Data analysis and Data modelling. • Pickle: For exporting the model to local machine • Tkinter, Pyqt, QtDesigner: For building up the Graphical User Interface (GUI) of the software. To avoid the pain of installing independent packages and libraries of python, install Anaconda from www.anaconda.com. It is a Python data science platform which has all the ML libraries, Data analysis libraries, Jupyter Notebook
View ProjectBertelsmann-Data-science-scholarship
June 5, 2018 – July 13, 2018
This repository contains the course material for Udacity-Bertelsmann Data science challenge scholarship for phase 1.
View ProjectCOURSERA-Applied-Data-Science-in-Python
May 11, 2018 – June 3, 2018
This repository contains week wise lecture material and assignment solutions of the courses under this specialization.
View Projectcoderbyte-solutions
January 28, 2018 – July 12, 2018
Solutions to the coderbyte challenges, in Python.
View ProjectCultural Fit Analysis
The candidate shows a strong personal interest in Data Science through various self-initiated projects and online learning. The projects are diverse within the Data Science domain, indicating a proactive learning attitude. However, the lack of professional experience or team-based projects makes it difficult to fully assess cultural fit in a collaborative work environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, indicating no completed assessment.