Aman Jain
Data AnalystSr. Associate Data Scientist at Amgen
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Sr. Associate Data Scientist at Amgen
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I am currently pursuing Masters Degree in Healthcare Informatics Engineering at University of Southern California.Through my education and work experience, I have acquired a fine blend of business acumen and technical skills which I am actively looking to leverage in a technical field. My core strengths are persistence, creativity and adaptability. I thrive in challenging environments and believe in constant improvement in my personal and professional life.
University of Southern California
Masters of Science, Medical Device and Diagnostic Engineering.
January 1, 2016 – January 1, 2018
Thadomal Shahani Engineering College
Bachelor's degree, Electronics and Communications Engineering
January 1, 2011 – January 1, 2015
Amgen
Sr. Associate Data Scientist
September 1, 2018 – Present
Thousand oaks, california
Jobjet
Data Science Intern
February 1, 2018 – May 1, 2018
Los Angeles Metropolitan Area
Pluto7 (Collaboration with Google)
Machine Learning - Ai Intern
January 1, 2018 – May 1, 2018
Sunnyvale, California, United States
WhiteCoat Healthcare Inc.
Healthcare Machine Learning Intern
May 1, 2017 – August 1, 2017
Pasadena, California
University of Southern California
Data Mining Analyst
January 1, 2017 – May 1, 2017
Los angeles , California
Suretech Medical INC - India
Associate Engineer
July 1, 2015 – July 1, 2016
Mumbai, India
Hi-tech Surical systems - India
Engineering Intern
June 1, 2014 – August 1, 2014
Mumbai, India
Twitter sentiment analyzer
February 1, 2017 – May 1, 2017
Cleaned the data by converting it from unstructured format to structured format (json) and getting rid of redundant words. Computationally determined weather a piece of writing is positive, negative or neutral in python using tweepy and textblob libraries. Tech-stack: Python.
Weighing scale
January 1, 2017 – May 1, 2017
In this course we developed a 0.1g precision weighing scale while learning the basics of quality tools and methods, which includes six sigma, statistical thinking, tools for process improvement such as process mapping, and statistical process control. Through a team project, I was exposed to elements of industrial quality systems including manufacturing plans, QFD, validation tests, GRR and FMEA.
Loan Risk Analyzer
January 1, 2017 – May 1, 2017
Performed data cleaning and imputation for missing data points for the instances. Computationally determine whether a person could pay the loan amount, based on several known input factors. Also, visualized the resulted information in different graphical representation using R Programming. Tech-stack: Python, R programming.
Sharps container
August 1, 2016 – December 1, 2016
To create containers that Prevent Overfilling, in order to Reduce the Number of needle-stick injuries suffered. We worked on different aspects of product development and testing of our product according to U.S. regulatory requirements such as market requirements, reimbursement strategy, product design, regulatory and clinical trials strategy, Where I worked on regulatory submission from FDA point of view and elements of industrial quality system such as validation tests, patent analysis and FMEA.
NLP Project for yelp review
August 1, 2016 – December 1, 2016
Classified the reviews on yelp into two categories : 1 star or 5 star category. Used Multinomial Naive Bayes model to predict wether a review will be good or bad depending on the content of the review. Performed preprocessing steps such as tokenizing, removing stop words, stemming and word vectorizing. Used pythons NLTK library to perform preprocessing steps. Achieved following metrics: Accuracy=92% and Recall= 93%
Audio generation and LCD display of Hand Gestures
August 1, 2014 – May 1, 2015
•Designed a circuit to help hearing impaired and mute individuals to communicate effective. •Implement an ATMEGA328 microcontroller-based system along with APR33A3. •Developed a device for which finger gestures were the input and these gesture where transmitted to Arduino Uno using RF encoder HT12E and RF decoder HT12D. •Developed the PCB for voice recorder circuit using Eagle Software. •Interfaced the LCD, voice recorder, RF module and the arduino uno using general purpose board. •Programmed the circuit using embedded C programming language in order to store the data in the arduino uno which was displayed on the LCD. •Technology stack: Arduino Uno.
Retrieved stock market indices using web scraper.
January 1, 2014 – May 1, 2014
Extracted the daily closing and opening indices of several public companies listen on www.bloomberg.com. Used Requests and Beautifulsoup libraries in python to get the html content and parse it to extract features. Pre-processed (text wrapped in header and class section of html ) the data to get cleaned text and integer type data which was appended to the csv file everyday automatically. CSV file was then read as a pandas dataframe to visualize the trend using matplotlib library.
Decimal up counter using 7-segment LED.
August 1, 2013 – May 1, 2014
•Assembly language programming to simulate counter. •Basic usage of 8085 microprocessor for setting decimal up counter.
Infrared security alarm
November 1, 2010 – Present
•Sensors are connected to a control unit via low-voltage wiring and a narrowband RF signal which is used to interact with a response device,which is used to indicate the opening of a door or window or detect motion via passive infrared (PIR). •System serve a purpose of burglar and intrusion protection
Google Certified Professional Data Engineer
Google Cloud Certified
June 24, 2026 – Present
Cultural Fit Analysis
The candidate demonstrates a broad range of interests and applications of data analysis, from social media sentiment to healthcare and financial risk. The project diversity, including both academic and industry-related experiences, suggests an open-minded and versatile individual. The experience with various companies and roles (internships, associate engineer, data scientist) indicates an ability to adapt to different organizational cultures. The Google Certified Professional Data Engineer certification also shows a commitment to continuous learning and alignment with industry best practices.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on diverse problems, from sentiment analysis to medical device development, suggesting adaptability. Experience in team projects (Weighing scale, Sharps container) implies collaboration skills. The detailed descriptions of data cleaning and model building processes suggest a methodical approach to problem-solving. However, without specific psychometric test results, a deeper assessment of work attitude, stress handling, and team collaboration is not possible.