Kalpit Dixit
Data AnalystFounder at Paper Lantern
Paper Lantern
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Founder at Paper Lantern
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Stanford University
Master of Science (MS), Management Science and Engineering
January 1, 2015 – January 1, 2017
Rice University
Exchange Student, Electrical Engineering
January 1, 2011 – January 1, 2012
Indian Institute of Technology, Bombay
Bachelor of Technology (BTech), Electrical and Electronics Engineering
January 1, 2008 – January 1, 2013
Indian Institute of Technology, Bombay
Master of Technology (MTech), Electrical and Electronics Engineering
January 1, 2008 – January 1, 2013
Paper Lantern
Founder
January 1, 2025 – Present
Mountain View, California, United States
Amazon Web Services (AWS)
Senior Applied Scientist
December 1, 2022 – December 1, 2024
Palo Alto, CA
Amazon Web Services (AWS)
Applied Scientist, AWS Deep Learning
September 1, 2017 – April 1, 2023
Palo Alto, CA
Stanford University
Course Assistant
January 1, 2017 – March 1, 2017
Stanford, Bay Area, CA
Stanford University
Course Assistant
September 1, 2016 – December 1, 2016
Stanford, Bay Area, CA
Baidu USA
Deep Learning Summer Intern
June 1, 2016 – September 1, 2016
Sunnyvale, California, USA
Stanford University
Course Assistant
April 1, 2016 – June 1, 2016
Stanford, Bay Area, CA
Artiman ACM Systems
Trading Research
November 1, 2014 – August 1, 2015
Bengaluru Area, India
Optiver
Trader
July 1, 2013 – June 1, 2014
Amsterdam Area, Netherlands
Cultural Fit Analysis
The candidate's background is heavily skewed towards Applied Science, Machine Learning, and AI/NLP, with significant experience at AWS and a deep learning internship at Baidu. While this demonstrates strong technical capabilities, the target role is 'Data Analyst'. This represents a significant pivot from their core expertise. The projects and experience do not directly align with typical data analyst responsibilities such as dashboarding, advanced SQL querying for business insights, or specific BI tool proficiency. The quantitative trading experience shows analytical aptitude but is not directly transferable to a typical data analyst role without further context. The lack of explicit data analyst projects or roles suggests a potential mismatch in day-to-day responsibilities and expectations for a Data Analyst position.
Soft Skills & Operational Fit
The candidate's experience as a Course Assistant at Stanford suggests an ability to explain complex topics and potentially mentor. Their work on creating science plans and risk analysis indicates a structured and methodical approach to problem-solving. The founder role, though future-dated, hints at entrepreneurial drive. However, specific soft skills like teamwork, leadership, or communication are not explicitly detailed in the provided job descriptions.