About Me


Hi folks! I am Aarushi. (you can call me Aari). I come from India, known for its diversity and vibrant culture. I have completed my bachelor's in Electronics and Telecommunications and MBA in Business Intelligence Analytics from Narsee Monjee Institute of Management Studies, Mumbai, Maharashtra, India, one of the leading universities in India.

Previously, I worked for a Fintech Start-Up Receivables Exchange of India Limited (RXIL) in India for about 15 months. Working at RXIL has provided me with some corporate experience. Working as a Business Analyst Intern from May 2020 to November 2020, I was responsible for creating the Management Information System using the Machine Learning Algorithms and learning Oracle Cloud Infrastructure. Through my training, I was able to help teams across various horizontal divisions in the organization understand data to get business insights and make their decision-making tasks easier. During my full time as a Business Analyst Associate starting May 2021 to November 20201, I looked after developing solutions allowing large corporate buyers and financiers to integrate their ERP applications with our system and generate an MIS interface to check their daily, weekly, and monthly billings. Working on these projects helped me get hands-on experience with various tools and technologies: Data Warehouse, Oracle Cloud Infrastructure, Web APIs, REST API Services, SFTP Methods, Oracle Data Modeler to perform ETL operations, SQL, Python, and Databases.

Currently, I am pursuing a Master of Science in Data Analytics Engineering at Northeastern University. I have completed three courses: Foundation of Data Analytics, Computation and Visualization, and Data Mining securing a 4.0 CGPA to date and being in the top 1% of the class. Coming from a technical background, I have a strong foundation in math and computing and problem-solving skills, which assists me in taking on roles that are technologically challenging and prosper in them.

Roles I excel in: Data Analyst, Data Scientist, Data Engineer, Business Analyst


Education and Experience



  Download My Résume

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   Programming

Python
R
Pandas
Numpy
Dplyr
Javascript
Tensorflow

  Data Engineering

SQL
PostgreSQL
MongoDB

  Cloud technologies & Other tools

AWS RDS
AWS Redshift
Azure
Azure Data Factory
Azure Data Studio
Azure Machine Learning
Docker
BigQuery

  Tools

Tableau
Power BI
Looker
Github
Azure

  Certifications

Bloomberg Market Concepts
Tableau Analyst
Neural Network & Deep Learning
Data Science Foundations - Level 1
Data Science Foundations - Level 2
Data Science Methodologies
Machine Learning - Coursera
Enterprise Design Thinking
KPMG - Data Analytics
JP Morgan - SWE
SAS - Data Analytics and Mining
Google Analytics

   Publications

Generalized Disease Prediction
Disease Prediction Application

  • Northeastern Univerisity, MA

    Research Assistant

  • Receivables Exchange of India Limited, India

    Business Analyst Associate

    • Collaborated with IT/Business Teams of big corporate Buyers/Financiers to increase TReDS(Trade Receivables Exchange Discounting System) performance by 75%.
    • Developed Process Flowcharts for integration with customer's ERP systems with TReDS (Invoice Discounting Platform) using Web APIs, REST API Services, and SFTP Integration to increase efficiency by 60%.
    • Associated with interdisciplinary teams of Quality Analysts, Developers, Platform Specialists, and Operations for timely delivery of projects.
    • Constructed BRDs, UAT Performance, and Postman Software to test APIs and API authentication methods.

  • Receivables Exchange of India Limited, India

    Business Analyst Intern

    • Implemented Machine Learning Algorithms, Client MIS Dashboards and Scorecards, Database Analysis, ERD Models, Automated ETL Processes, and Autonomous Data Warehouse to increase performance by 78%.
    • Integrated Oracle Data Integrator, Oracle Data Modeler, Oracle Autonomous Data Warehouse, Oracle Analytics Desktop, and Oracle Cloud Infrastructure.

  • Reliance Jio Infocomm Limited, India

    Technical Analyst Intern

    • Researched on Evolution of Wi-Fi (Current and Next Generation) to increase Wi-Fi throughput by 85%.
    • Conceptualized Cloud and Radio Architecture for Capacity Plan, IOT Implementation using Wi-Fi 802.11 ac.

  • Full Time Learner

  • Northeastern University, Boston

    Master's Student, Data Analytics Engineering

    • Relevant Courses: Data Mining, Computation & Visualization, Foundation of Data Analytics
      GPA : 4.0/4.0

  • NMIMS University, India

    Master in Business Adminstration, Business Intelligence Analytics

    • Relevant Courses:Data Mining and Analytics using Python, Big Data Technology, Programming for Analytics (SAS), ETL, Business Visualization, Predictive Modelling, Neural Networks and Deep Learning, Business Analytics for Decision Making, Business Statistics
      GPA : 3.11/4.0

  • NMIMS University, India

    Bachelor of Technology, Electronics and Telecommunications

    • Relevant Courses:Engineering Mathematics, Object Oriented Programming (Java), Computer Programming (C / C++)
      GPA : 3.11/4.0

Projects


Check some of my interesting work!

  • All
  • Data Science & ML
  • NLP
  • Visualizations Misc
Pier 1

Facial Emotion Recognition


Achieved accuracy of 69.52% by training the model to identify or perceive the emotions based on the incoming images and subsequently train the series of data.
Pier 1

Handwritten Digit Recognition


Attained 99% accuracy by developing Handwritten Digit Recognition application using MNIST dataset and implement Convolutional Neural Networks to train images of handwritten digits and build a GUI (Graphical User Interface) to process and identify the image drawn.
Pier 1

Fake News Detection


Achieved accuracy of 92% for classifying the news into ‘Real’ or ‘Fake’ by building a model coded in Python using TfidVectorizer & PassiveAgressiveClassifier
Pier 1

Tree Census 2015


Performed exploratory data analysis on Tree Census Database by using Tableau to help understand the hidden patterns within the data, detect any outliers or anomalies, and compelling relationships between variables.
Pier 1

Global Terrorism Viz


A Movie recommender system based on content based and collaborative based algorithms. The recommender system is deployed on AWS using Flask.
Pier 1

Sock-Market-Prediction-using-LSTM


The project focuses on transforming data via MinMaxScaler for passing it to Long Short-Term Memory (LSTM) Time Series model developed via Keras