Seema Agarwal

Analyst, Client Insights at (m)PHASIZE
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Contact Information
us****@****om
(386) 825-5501
Languages
  • English Full professional proficiency
  • Hindi Full professional proficiency
  • Gujarati Full professional proficiency

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5.0

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Christine Thinn, MPH, MBA

Seema is a great and positive addition to our consulting team. In her role as a Business Analyst, she was instrumental in gathering our research findings and analyzing the trends. She is especially skilled in understanding business process analysis, analytical thinking, problem solving, and coming up with helpful and creative ideas. I am also impressed by her communication and and presentation skills. Throughout our project timeline, she went above and beyond to help the team and also paid attention to every detail so that our team could properly present our ideas. It was definitely a pleasure to work with her.

Michelle Dugas

Seema is exceptionally bright and motivated. In her role as a research assistant at CHIDS, she independently learned the ins and outs of a complex natural language processing (NLP) tool (MetaMap), taught her team members about the tool, and applied it to process real-world clinical notes from patient records. She has delivered all of this in a relatively short period of time with minimal guidance and supervision. While delivering on the technical aspects of the project, Seema has also demonstrated exceptional professionalism and teamwork. We are lucky to have Seema on the team and would recommend her without hesitation.

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Credentials

  • Power BI Data Modeling with DAX
    LinkedIn
    Aug, 2020
    - Nov, 2024
  • Power BI Essential Training
    LinkedIn
    Aug, 2020
    - Nov, 2024
  • Tableau Analyst
    Tableau Software
    Jun, 2020
    - Nov, 2024
  • Creating Interactive Dashboards in Tableau 10
    LinkedIn
    Mar, 2020
    - Nov, 2024
  • Gold Badge in SQL
    HackerRank
    Mar, 2020
    - Nov, 2024
  • Introduction to R
    DataCamp
    Jan, 2020
    - Nov, 2024
  • Analyzing Police Activity with pandas
    DataCamp
    Nov, 2019
    - Nov, 2024
  • Python Data Science Toolbox (Part 2)
    DataCamp
    Oct, 2019
    - Nov, 2024
  • Python Data Science Toolbox (Part 1)
    DataCamp
    Sep, 2019
    - Nov, 2024
  • Python Data Structures
    Coursera
    Sep, 2019
    - Nov, 2024
  • Programming for Everybody (Getting Started with Python)
    Coursera
    Apr, 2019
    - Nov, 2024
  • Tableau Tutorial for Beginners
    Udemy
    Mar, 2019
    - Nov, 2024
  • Data-driven Decision Making
    Coursera
    Jan, 2019
    - Nov, 2024
  • Social & Behavioral Research - Basic/Refresher
    CITI Program, A Division of BRANY
    Jan, 2020
    - Nov, 2024
  • Google Ads - Measurement Certification
    Google
    Mar, 2020
    - Nov, 2024
  • Google Ads Search Certification
    Google
    Feb, 2020
    - Nov, 2024
  • Google Analytics Individual Qualification
    Google
    Feb, 2020
    - Nov, 2024

Experience

    • United States
    • Advertising Services
    • 1 - 100 Employee
    • Analyst, Client Insights
      • Apr 2021 - Present

    • United States
    • Construction
    • 1 - 100 Employee
    • Data Analyst
      • Feb 2021 - Apr 2021

      • Understand existing database, client requirements, and design dashboards to answer business questions • Build interactive Power BI dashboards, synthesizing real client data by accessing Azure SQL Server database, leading to actionable insights • Understand existing database, client requirements, and design dashboards to answer business questions • Build interactive Power BI dashboards, synthesizing real client data by accessing Azure SQL Server database, leading to actionable insights

    • Data Analyst
      • Jul 2020 - Aug 2020

      • The goal was to analyze people’s behaviors during the pandemic and identify insightful patterns to provide better solutions using Tweets data. • Data was cleaned, texts were tokenized, tagged, and lemmatized. Tweets were transferred into the TF-IDF matrix and classified into five clusters to extract meaningful keywords. • The predictive analysis was applied in the texts to learn more about the overall sentiment of the COVID-19 pandemic response • The goal was to analyze people’s behaviors during the pandemic and identify insightful patterns to provide better solutions using Tweets data. • Data was cleaned, texts were tokenized, tagged, and lemmatized. Tweets were transferred into the TF-IDF matrix and classified into five clusters to extract meaningful keywords. • The predictive analysis was applied in the texts to learn more about the overall sentiment of the COVID-19 pandemic response

    • United States
    • Non-profit Organizations
    • 1 - 100 Employee
    • Business Analyst- Impact Consultant Fellow
      • May 2020 - Aug 2020

      • Created a long-term prospecting pipeline of potential corporate partners worldwide based on industries and businesses that have mission alignment with Nothing But Nets. • Researched for potential partner industries for Nothing but Nets • Assessed the giving portfolio of companies classified under proposed industries • Executed business process analysis and proposed criteria for analyzing a potential partner and designed a weighted matrix to ease analysis • Created a long-term prospecting pipeline of potential corporate partners worldwide based on industries and businesses that have mission alignment with Nothing But Nets. • Researched for potential partner industries for Nothing but Nets • Assessed the giving portfolio of companies classified under proposed industries • Executed business process analysis and proposed criteria for analyzing a potential partner and designed a weighted matrix to ease analysis

    • Graduate Research Assistant
      • Dec 2019 - Jul 2020

      • Learned complex natural language processing tool Metamap and applied it to process 500 real-world clinical notes from patient records by extracting text from XML formatted input • Developed a python program to transform Metamap’s complex XML output to CSV to ease further data analysis • Learned complex natural language processing tool Metamap and applied it to process 500 real-world clinical notes from patient records by extracting text from XML formatted input • Developed a python program to transform Metamap’s complex XML output to CSV to ease further data analysis

    • Graduate Student Assistant
      • Feb 2020 - Jun 2020

      • Spreading awareness about Diversity and Inclusion across University campus • Conducting surveys and collecting people’s opinion about different issues and inviting people to share experiences • Working on designing flyers for events conducted by MAPP+D • Spreading awareness about Diversity and Inclusion across University campus • Conducting surveys and collecting people’s opinion about different issues and inviting people to share experiences • Working on designing flyers for events conducted by MAPP+D

  • Computer Society of India
    • Ahmedabad Area, India
    • Head of Events
      • Jun 2018 - Jun 2019

      • Initiated free lecture series on various topics for students which could help them in learning new programming languages, algorithms • Arranging and promoting events as well as register new members • Organized a 30 hours Hackathon; 100 developers from all over the state participated; the event was arranged within 2 weeks by coordinating sponsorship, publicity, logistics, and networking teams • Initiated free lecture series on various topics for students which could help them in learning new programming languages, algorithms • Arranging and promoting events as well as register new members • Organized a 30 hours Hackathon; 100 developers from all over the state participated; the event was arranged within 2 weeks by coordinating sponsorship, publicity, logistics, and networking teams

    • Software Engineering Intern
      • Dec 2018 - Apr 2019

      • Fostered an Android Application equipped with features such as scanning and listing nearby Bluetooth Low Energy (BLE) devices, connect and disconnect from BLE device, and read and write data to a BLE device • Added functionality of decoding data read from a BLE device, and calculating checksum of data to be written to a BLE device; which was absent in all existing Android Application • Fostered an Android Application equipped with features such as scanning and listing nearby Bluetooth Low Energy (BLE) devices, connect and disconnect from BLE device, and read and write data to a BLE device • Added functionality of decoding data read from a BLE device, and calculating checksum of data to be written to a BLE device; which was absent in all existing Android Application

    • Software Development
    • 700 & Above Employee
    • Data Analyst Intern
      • May 2018 - Jun 2018

      • Extracted meaningful insights from financial data to determine if a customer will repay a borrowed loan or not to the company and achieved an accuracy of 80% • Analyzed text data and performed text summarization on IMDB Movie Reviews dataset using deep learning concepts such as Potter Stemmer algorithm, loss functions, regularization strategies, and activation functions • Led a team of 5; executed sentiment analysis on IMDB Movie Reviews dataset from Kaggle to deduce if emotions shown by customers are positive or negative and system attained an accuracy of 85% Show less

    • India
    • Oil and Gas
    • 700 & Above Employee
    • Intern
      • May 2017 - Jun 2017

      • Analyzed the existing web portal of GAIL and added some features to enhance the user interface and studied how the software system for employee interaction functions. • Analyzed the existing web portal of GAIL and added some features to enhance the user interface and studied how the software system for employee interaction functions.

Education

  • University of Maryland
    Master of Science - MS, Information Systems
    2019 - 2020
  • Nirma University, Ahmedabad, Gujarat, India
    Bachelor of Technology, Information Technology
    2015 - 2019

Community

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