Arpita Jena
Data AnalystMachine Learning@LinkedIn
LinkedIn
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Machine Learning@LinkedIn
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
University of San Francisco
Master of Science - MS, Data Science
January 1, 2017 – January 1, 2018
Indian Institute of Technology (Indian School of Mines), Dhanbad
Master’s Degree, Mathematics and Computing
January 1, 2009 – January 1, 2014
B.J.B. Junior College, BBSR, Khurda
Higher Secondary Education, Science
January 1, 2006 – January 1, 2008
Senior Software Engineer - AI
January 1, 2022 – Present
Sunnyvale, California, United States
Walmart Labs
Machine Learning Engineer
September 1, 2018 – January 1, 2022
Sunnyvale
Capital One
Machine Learning Engineer Intern
November 1, 2017 – June 1, 2018
San Francisco Bay Area
Factspan Inc.
Data Scientist
January 1, 2017 – June 1, 2017
Bengaluru, Karnataka, India
CGG
Data Analyst
June 1, 2014 – March 1, 2016
Mumbai Metropolitan Region
Analysis of Time Series using Regression
January 1, 2014 – April 1, 2014
This project involved a rigorous study of data and its significance in future forecasting. I worked on different time series components, their decomposition, exploratory analysis, moving average, exponential smoothing, ARMA modeling.
Binary Quadratic Forms and Class Numbers
June 1, 2013 – July 1, 2013
The main aim was to study all the aspects of binary quadratic form thoroughly, with special emphasis on class number computation and its relation with quadratic field (Indian Academy of Science’s Summer Research Fellowship).
Testing of Hypothesis
June 1, 2012 – July 1, 2012
Hypothesis testing under various conditions like the Chi Square test, T- test, Goodness of Fit.
Practical Machine Learning
Coursera Course Certificates
June 24, 2026 – Present
Regression Models
Coursera Course Certificates
June 24, 2026 – Present
Getting and Cleaning Data
Coursera Course Certificates
June 24, 2026 – Present
Developing Data Products
Coursera Course Certificates
June 24, 2026 – Present
The Data Scientist’s Toolbox
Coursera Course Certificates
June 24, 2026 – Present
Exploratory Data Analysis
Coursera Course Certificates
June 24, 2026 – Present
Statistical Inference
Coursera Course Certificates
June 24, 2026 – Present
Reproducible Research
Coursera Course Certificates
June 24, 2026 – Present
R Programming
Coursera Course Certificates
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience across different industries (retail, finance, oil & gas) and roles (Data Analyst, Data Scientist, ML Engineer, Senior Software Engineer - AI) suggests adaptability and a broad perspective. The progression from Data Analyst to ML Engineer and Senior Software Engineer - AI indicates a strong drive for growth and continuous learning. The academic background in Mathematics and Computing, coupled with Data Science, provides a solid foundation for analytical roles. The personal projects, though lacking technology specifics, demonstrate initiative and interest in core data analysis and statistical concepts.
Soft Skills & Operational Fit
The candidate's project descriptions highlight problem-solving, analytical thinking, and the ability to translate complex data insights into actionable business outcomes. Experience in team settings (e.g., 6-member team at CGG) suggests collaborative operational fit. The focus on quantifiable results in past roles indicates a results-oriented approach.