Resume
Pinakini Samant
------------/in/pinakini-samant
------------ 164 South St, Jersey City, NJ, 07307 ------------
OBJECTIVE A highly result-driven and eager to learn individual, seeking an internship for summer 2020
EDUCATION Stevens Institute of Technology, Hoboken, NJ Expected Spring 2021
Master of Science in Information Systems GPA: 3.9
Honors: Graduate Research Assistantship
Related Courses: Web Mining, Multivariate Data Analysis, Emerging IT, Project Management Fundamentals, Python for Financial Applications, Data Analytics & Machine Learning, Marketing Analytics, Financial Decision Making, Supply Chain Opt.
Projects:
• Web Scraping ACM data and ACM conference label prediction using BeautifulSoup and scikit-learn algorithms such as Decision Tree Classifier, Multinomial NB, Logistic Regressor, Random Forest Classifier and MLP Classifier in python.
• Credit Rating Prediction using MAPE, Randon Forest and XG Boost Classifiers in python
• Predict Hospital Readmission using regression, PCA and other statistical models in Multivariate Analysis using SAS and R
• Sentiment analysis of scraped text data from social media websites like twitter, rotten tomatoes using BeautifulSoup, Selenium and supervised learning in python.
• Market Analysis and Forecasting for the Hudson Space Project
Savitribai Phule Pune University, India May 2017
Bachelor of Engineering in Computer Engineering GPA: 76.6%
Honors: Department of Computer Engineering - Rank #1
Patent, Projects & Research Journal Publications:
• Collaborated for a project on “Biometrics based dynamic password allocator”. India Patent Publication------------49
• Developed a “Smart Surveillance System”. It includes real time vision and image processing with 96% accuracy; multiple people detection, tracking and behavior analysis using Python and OpenCV; IEEE forum conference publication
• “Use of Image Processing in Lane Departure Warning System” at the IEEE International Conference for Convergence of Technology, now published on IEEE Xplore
SKILLS Programming Languages: Python, SAS, R, Java, SQL, MongoDB, C++, HTML, and PHP
ML Exp.: Regression models, scikit-learn models, kMeans/Hierarchal clustering, Vectorization, PCA, Neural Networks, NLP
Software Technologies: Microsoft Excel, Advanced Excel, Microsoft Office, SAP, MATLAB, Power Bi, Tableau, Docker
EXPERIENCE Systems Engineering Research Center at Stevens Institute of Technology, Hoboken, NJ Present
Asst. Data Scientist / Graduate Research Assistant
• Leveraging social data providing Behavior Analysis, Predictive modeling, Analytics, Unsupervised Learning, Data and Text mining for Market Assessment, Technology Planning and Risk Analysis
• Currently developing a system to gather, analyze and monitor the emerging technologies in a user input field of interest inspecting datasets and creating a decision-making framework based on clustering and NLP techniques
• Web scraped 200k+ data points from 18 different web sources to store it in a NoSQL database and automated it
• Cleaning, processing and applying normalization, Euclidian distance, corpus generation and neural networks on the data for analysis and forecasting
Stevens Institute of Technology, Hoboken, NJ Fall 2019
Research Assistant
• Worked on web scraping, mining and visualizing data from LinkedIn.
Tech Mahindra, Pune, India July 2019
Associate Software Engineer
• Worked on a project involving networking, business analytics and managed a pre-sales team of 12 for AT&T
BOSCH Limited, Nashik, India May 2018
Graduate Apprentice / Trainee Engineer
• SAP PP (Production Planning and Execution) functional consultant and analyst.
• Optimized implementation of I4.0 projects and lead automation in manufacturing.
• Currently working as a Peer Mentor at Stevens Institute of Technology
• Delegate at the Harvard US-India Initiative Conference at New Delhi and at the Harvard Project for Asian and International Relations Conference at Malaysia, 2018
• Completed training provided by Zensar Technologies Limited on Java, SQL and developed a functional banking software
Pinakini Samant
------------/in/pinakini-samant
------------ 164 South St, Jersey City, NJ, 07307 ------------
OBJECTIVE A highly result-driven and eager to learn individual, seeking an internship for summer 2020
EDUCATION Stevens Institute of Technology, Hoboken, NJ Expected Spring 2021
Master of Science in Information Systems GPA: 3.9
Honors: Graduate Research Assistantship
Related Courses: Web Mining, Multivariate Data Analysis, Emerging IT, Project Management Fundamentals, Python for Financial Applications, Data Analytics & Machine Learning, Marketing Analytics, Financial Decision Making, Supply Chain Opt.
Projects:
• Web Scraping ACM data and ACM conference label prediction using BeautifulSoup and scikit-learn algorithms such as Decision Tree Classifier, Multinomial NB, Logistic Regressor, Random Forest Classifier and MLP Classifier in python.
• Credit Rating Prediction using MAPE, Randon Forest and XG Boost Classifiers in python
• Predict Hospital Readmission using regression, PCA and other statistical models in Multivariate Analysis using SAS and R
• Sentiment analysis of scraped text data from social media websites like twitter, rotten tomatoes using BeautifulSoup, Selenium and supervised learning in python.
• Market Analysis and Forecasting for the Hudson Space Project
Savitribai Phule Pune University, India May 2017
Bachelor of Engineering in Computer Engineering GPA: 76.6%
Honors: Department of Computer Engineering - Rank #1
Patent, Projects & Research Journal Publications:
• Collaborated for a project on “Biometrics based dynamic password allocator”. India Patent Publication------------49
• Developed a “Smart Surveillance System”. It includes real time vision and image processing with 96% accuracy; multiple people detection, tracking and behavior analysis using Python and OpenCV; IEEE forum conference publication
• “Use of Image Processing in Lane Departure Warning System” at the IEEE International Conference for Convergence of Technology, now published on IEEE Xplore
SKILLS Programming Languages: Python, SAS, R, Java, SQL, MongoDB, C++, HTML, and PHP
ML Exp.: Regression models, scikit-learn models, kMeans/Hierarchal clustering, Vectorization, PCA, Neural Networks, NLP
Software Technologies: Microsoft Excel, Advanced Excel, Microsoft Office, SAP, MATLAB, Power Bi, Tableau, Docker
EXPERIENCE Systems Engineering Research Center at Stevens Institute of Technology, Hoboken, NJ Present
Asst. Data Scientist / Graduate Research Assistant
• Leveraging social data providing Behavior Analysis, Predictive modeling, Analytics, Unsupervised Learning, Data and Text mining for Market Assessment, Technology Planning and Risk Analysis
• Currently developing a system to gather, analyze and monitor the emerging technologies in a user input field of interest inspecting datasets and creating a decision-making framework based on clustering and NLP techniques
• Web scraped 200k+ data points from 18 different web sources to store it in a NoSQL database and automated it
• Cleaning, processing and applying normalization, Euclidian distance, corpus generation and neural networks on the data for analysis and forecasting
Stevens Institute of Technology, Hoboken, NJ Fall 2019
Research Assistant
• Worked on web scraping, mining and visualizing data from LinkedIn.
Tech Mahindra, Pune, India July 2019
Associate Software Engineer
• Worked on a project involving networking, business analytics and managed a pre-sales team of 12 for AT&T
BOSCH Limited, Nashik, India May 2018
Graduate Apprentice / Trainee Engineer
• SAP PP (Production Planning and Execution) functional consultant and analyst.
• Optimized implementation of I4.0 projects and lead automation in manufacturing.
• Currently working as a Peer Mentor at Stevens Institute of Technology
• Delegate at the Harvard US-India Initiative Conference at New Delhi and at the Harvard Project for Asian and International Relations Conference at Malaysia, 2018
• Completed training provided by Zensar Technologies Limited on Java, SQL and developed a functional banking software