Payal Sanjay Nagaonkar
Data Analyst at Qatch
Software Engineering at Northeastern University
United States
Get Remote-Ready with the Anywherepro Assessment
Increase your chances of landing your dream hybrid or remote job today!
Earn your badgeHi, I'm Payal Sanjay Nagaonkar!
Data Analyst at Qatch
"Hello! I'm Payal, I am an aspiring Data Scientist with diverse experience across the domains of infrastructure, sales optimization, and web development. My journey began with engineering responsive web solutions and quickly evolved into sophisticated data analytics, where I harnessed machine learning models to drive improvements in infrastructure maintenance, construction site identification, and material forecasting.
Experience
BSA ENGINEERING DESIGN CONSULTANTS
Data Scientist (Part-Time)
April 2022 - August 2022
Orchestrated supervised & unsupervised ML algorithms to predict infrastructure degradation, rehabilitating predictions by 15%
Fostered a convolutional neural network (CNN) model and recurrent neural networks (RNNs) for time series forecasting, achieving 95% accuracy
Mentored a team of 5 junior data analysts, conducted two in-house training sessions, emending productivity by 15%
STEADFAST SOLUTION PARTNERS
Data & Business Analyst Intern (Internship)
April 2020 - January 2021
Created 3+ Tableau dashboards, highlighting key metrics, sales trends, and client preferences
Utilized MS Excel for advanced statistical analysis, trend forecasting, aiding in a 10% increase in future sales predictions accuracy
Streamlined SSRS report integration, elevating real-time data retrieval efficiency by 30%
Partnered with sales and marketing to data-mine feedback from 1,200 clients, improving customer satisfaction by 25%
Education
Software Engineering
Northeastern University
Software Engineering
Northeastern University
Graduated in 2024
Certificates & Badges
No certificates or badges added
Projects
Data Analyst
This repository contains:
Assignment 1 - ML Data Cleaning & Feature Selection.ipynb
Assignment 2 - AutoML.ipynb
Assignment 3 - Model Intepretibility.ipynb
An exhaustive study of Breast Cancer Disease by taking Data Cleaning & Feature Selection, AutoML, Model Intepretibility into consideration.
Languages
English
Native
Skills
Data Analytics
Machine Learning
Power BI Developer
Excel Pivot Tables
PostgreSQL
Tableau Developer
SQL Database
Python Data