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Result-driven individual who has a passion for influence of data and machine learning, and passion for learning about different complex instruments.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Disaster-Response-Pipeline
May 16, 2020 – May 16, 2020
Analyze disaster data from Figure Eight to build a model for an API that classifies disaster messages.
View ProjectAnalyze_ab_test_results
April 29, 2020 – April 29, 2020
A/B tests are very commonly performed by data analysts and data scientists.
View ProjectInvestigate-FBI-NCIS-Gun-Data
April 29, 2020 – May 9, 2020
FBI Gun Data , US Census Data and Kaggle Gun Violence Data are three independent tables. Their common variables include states and it requires data cleaning with removal of nan values and removal of few columns for getting accurate insights.
View ProjectWrangle-and-Analyze-data-using-Tweepy
April 29, 2020 – April 29, 2020
The dataset that we will be wrangling (and analysing and visualising) is the tweet archive of Twitter user @dog_rates, also known as WeRateDogs. WeRateDogs is a Twitter account that rates people's dogs with a humorous comment about the dog.
View ProjectLoan-Data-from-Prosper
April 29, 2020 – April 29, 2020
Data Analysis to leverages polished, explanatory visualisations to communicate your results.
View ProjectData-analysis-and-visualization
March 28, 2019 – March 28, 2019
There are over 7,000 human languages in the world. The World Atlas of Language Structures (WALS) contains information on the structure of 2,679 of them. It also includes information about where languages are used. WALS is widely-cited and used in the linguistics research community.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and focused on data analysis, which aligns with a Data Scientist role. The diversity of project topics (e.g., Twitter data, loan data, disaster response, A/B testing, gun data, language structures) indicates a broad interest in applying data science techniques across different domains. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test scores or interview feedback provided.