Hello!!

I'm Shruti Pangare



Grad Student at New York University

LinkedIn Github

Full Name: Shruti Tulshidas Pangare

Job Role: Data Analyst

Experience: 1 year 9 months

Address: Brooklyn, New York

Skills

SQL 95%
Python 85%
Data Visualization 90%
Statistical Analysis 85%
Machine Learning 70%
Databricks 80%

About

About Me

Currently, I am student at New York University pursuing MS degree.(Expected Graduation May 2026)

I hold a Bachelor’s degree in Computer Engineering from Savitribai Phule Pune University and have proven experience in various technical and research roles.

With 2 years of experience in the field of data science & analytics. As a Data Analyst at Capgemini Technology Services, I worked with the Insights & Data - Big Data Development Team for a US-based client.

  • Profile: Data Science & Analytics
  • Domain: Energy & Power; Ecommerce, Digital Marketing
  • Education: Master's of Computer Engineering
  • Language: English, Hindi, Marathi
  • Programming: Python, Java
  • Frameworks: Machine Learning, Microsoft Azure, AWS S3, EC2, AWS Lamda, Hadoop, Databricks, Apache Spark, MongoDB, Flask, Android studio, Tensorflow, MS SQL Server, SSIS, SSRS, SSAS, Microsoft Excel, Visual Studio, & Git
  • BI Tools: Microsoft Power BI, Tibco Spotfire & Tableau
  • Interest: Traveling, Teaching

Resume

Resume

Seasoned Data Analyst with 1 year 9 months of experience driving business strategies through data-driven insights. Proven expertise in data science, statistical analysis, machine learning algorithms and project management.

Experience


Sept 2022- Aug 2024

Analyst/Software Enigneer

Capgemini Technology Services Pvt. Ltd.

  • Assisted in integrating SQL with BI tools like PowerBI and Tableau for real-time engineering, energy usage, and sales data analysis, guided by senior analysts.
  • Collaborated with senior team members to create interactive dashboards and implement requested changes to meet customer needs effectively. Resulting 15% increase in stakeholder engagement and understanding of data insights.
  • Engaged with senior team members for collaborative problem-solving across teams, leveraging collective expertise to find innovative solutions, resulting 50% decrease in manual efforts as we integrated automated tasks using Python scripts and Ansible environment.
  • Assisted in the adoption of Databricks into workflows, actively learning its functionalities, and contributing to increasing task efficiency. Gained exposure to big data technologies such as Hadoop, Spark, and Kafka, and assisting in the development and maintenance of big data solutions.

June 2021- Jan 2022

Project intern

iNeuron.ai

  • Implemented end-to-end Machine Learning project as POC.
  • Contributed to the project Customer Personality Analysis, wherein I worked with a team to help us improve retention rate by understanding customer's behaviors using Machine Learning.
  • Led a team of five members. Being the leader of the team, managed the presentation and successful deployment of the project as well by using flask framework.



Education


Sept 2024-May 2026

MS in Computer Engineering

New York University, Brooklyn, NY

GPA : / 4.0

2018 - 2022

BE in Computer Engineering

Savitribai Phule Pune University, Pune, India

GPA : 9.09 / 10

2016-2018

Higher Secondary School

Smt. S. S. Ajmera Junior College, Pune, India

Percentage: 84.46%

2015-2016

Secondary School

S. M. Dr. D. Y. Patil School, Pune, India

Percentage: 88.88%

Download CV

Projects

Projects

Below are projects based on my skillset.

Wafer Fault Detection

Predict the quality of Wafer Sensors. Consists of Machine Learning Models such as RandomForest, XGboost which predicts whether wafer is needed to be replaced or not. Model Selection for finding best model with accuracy.

Credit Card Issuing Company Case Study

End-to-end analytics project. The objective here was to increase companies’ profit, analyze customers’ behavior, and reduce the attrition rate. Generated reports to show the facts and figures of the analysis that helps the company grow its business.

Multinational Automatic Vehicle License Plate Recognition System

This ALPR system can detect and identify license plates from multiple countries. Also, the system implemented to target speeding vehicles on highways can be helpful for generating E-Challans by sending this data captured to law enforcement teams.


F1 Racing Analysis - Databricks

Analytics project using Microsoft Azure Services, Pyspark, PySQL.

Women's Safety Application - Android

a low-cost solution for a GPS-based safety tracking system. Sends an alert message to the closed people in case of an emergency.The app can send alert messages to emergency contacts in less than 10 seconds

Food Blog Website

Food Blog website built using HTML, CSS, Bootstrap.

FDI Equity Inflow in India Project -Tableau DataViz Challenge Project

Participated in Tableau Online Hackathon where a live dataset was assigned to every individual from the government of India website and asked to work on.

  • Various insights were derived from Foreign Direct Investment data collected from data.gov.in Study of Sector-wise FDI equity inflow from Financial Year 2000-01 till 2016-17. The equity component of FDI has been rising from $2,379 million in 2000-01 to $ 41,517 million in 2016-17
  • Finalist at a national level Tableau Data Viz Challenge, Ranked Under the TOP 10.

    • 0 Achievements

    More projects on Github

    Love to solve real-world problems. Leveraged business and technical acumen to develop strategies to automate and streamline processes, improving data quality and accuracy.


    GitHub

    Contact

    Contact Me

    Below are the details to reach out to me!

    Address

    Brooklyn, New York

    Contact Number

    +91 0000000000

    Email Address

    shrutipangare9800@gmail.com

    shruti.pangare@nyu.edu

    Download Resume

    resumelink



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