🐛👾 Hello I'm Payal, a passionate Data Connoisseur!👾🐛

Hello! I'm Payal, a passionate data scientist with a knack for transforming raw data into meaningful insights. With a background in BE in Telecommunications at SIES and higher secondary in Computer Science, I thrive on unraveling complex problems using statistical analysis, machine learning, and data visualization.

I'm a firm believer in the power of data to drive informed decisions and spark innovation 🔭🔭

My skill set includes proficiency in SQL for database querying, Excel for data manipulation, and visualization tools such as Tableau or Power BI, as well as a deep understanding of data manipulation and feature engineering techniques.

If not Data, you'll probably find me playing games like Valorant🎮

💻 My Skills:

📊 GitHub Stats:

🎓My Education:

🏫 Master's in Computer Software Engineering:- Pursuing my MS in Computer Software Engineering from Northeastern University, Boston, MA. My courses are focused towards Data Analytics, Database Management Systems and ML .

Courses:-
- Object Oriented Design using Java
- Web Design and User Experience Engineering
- Data Management and Database Design
- Program Structure & Algorithms

🏫 Bachelor of Engineering in Electronics and Telecommunication:- I completed my B.E from SIES Graduate School of Technology, Nerul, Maharashtra(8.23 CPI). During my engineering course, I learnt different fields like Artificial Intelligence, Data Science, Machine Learning, etc. Network Management Techniques, Neural Network and Fuzzy Logic,Computer Communication Network caught my attention and were very interesting to learn.

Courses:-
- Database Management System
- Network Management Techniques
- Computer Communication Network
- Wireless Networks

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Payal Nagaonkar's Projects

creditscore_analysis

This project showcases the concepts of credit scoring and segmentation using Python. It provides insights into evaluating the creditworthiness of individuals or businesses and dividing them into distinct groups based on their credit profiles.

diabetes_prediction

The goal of this project was to investigate the factors that contribute to the risk of diabetes and to develop predictive models to classify individuals based on their diabetes status.

heartdisease-analysis

This project focuses on predicting the risk of heart disease based on various medical attributes of patients. It involves exploratory data analysis, preprocessing, model training, and evaluation.

instagram-analysis

Instagram Analysis - Exploratory Data Analysis using Python

netflix-sentiment-analysis

Netflix Data Analysis Project using Python

pcos-analysis

In undertaking this project, I embarked on an in-depth exploration of PCOS and PCOD. This endeavor was both an academic pursuit and a personal reflection, having experienced the challenges of PCOS firsthand for over five years

pizza_sales

This project involves a comprehensive analysis of pizza sales data using PostgreSQL for data manipulation and Tableau for data visualization.

sales-analysis

Sales Analysis using Python- Analyzing sales data using Python is a common task in data analysis and can be done using various Python libraries such as Pandas, NumPy, and Matplotlib.

titanic-analysis

The goal of this project is to demonstrate how data preprocessing, feature engineering, and appropriate model selection can significantly impact the accuracy of predictive models. It also highlights the importance of exploring relationships between features and survival outcomes to gain meaningful insights from the data.

weather-analysis

The goal of this project is to showcase my data analysis skills and demonstrate how data can be harnessed to understand and interpret weather patterns effectively.