Pradeep Narayanan
Data ScientistProduct Management
Chennai, Tamil Nadu, India
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Product Management
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
transaction-forms
November 11, 2025 – November 11, 2025
transaction-forms — GitHub repository
View ProjectTransaction-Form
November 11, 2025 – November 11, 2025
Transaction-Form — GitHub repository
View ProjectRecommendation-Engine---IEEE-Papers
October 18, 2019 – October 18, 2019
Recommendation-Engine---IEEE-Papers — GitHub repository
View ProjectApache_Kafka_Books
October 18, 2019 – October 18, 2019
Books related to the Apache Kafka messaging system
View ProjectTaxi-fare-prediction
May 29, 2019 – May 29, 2019
Predict the taxi fair based on the historical data.
View Projectvote
November 24, 2017 – November 24, 2017
understanding why people vote In August 2006 three researchers (Alan Gerber and Donald Green of Yale University, and Christopher Larimer of the University of Northern Iowa) carried out a large scale field experiment in Michigan, USA to test the hypothesis that one of the reasons people vote is social, or extrinsic, pressure. To quote the first paragraph of their 2008 research paper: Among the most striking features of a democratic political system is the participation of millions of voters in elections. Why do large numbers of people vote, despite the fact that ... "the casting of a single vote is of no significance where there is a multitude of electors"? One hypothesis is adherence to social norms. Voting is widely regarded as a citizen duty, and citizens worry that others will think less of them if they fail to participate in elections. Voters' sense of civic duty has long been a leading explanation of vote turnout... In this homework problem we will use both logistic regression and
View ProjectElantraSales
August 9, 2017 – August 9, 2017
We will build a linear regression model to predict monthly sales of Elantra using economic indicators of the United States as well as Google search queries.
View ProjectCultural Fit Analysis
The candidate's projects indicate a self-starter attitude and an interest in applying data science techniques to various problems. The diversity of project topics (survival prediction, voting behavior, sales forecasting, taxi fare prediction) suggests a broad curiosity. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit in a collaborative environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback are available.