Summary
Overview
Work History
Education
Skills
PCEP- Python Certified
Certification
Timeline
Generic

Priyanshi Choudhary

Edison,NJ

Summary

An Analyst with entry-level experience specializing in accounting, financial modeling, business intelligence, and data-driven decision making. Adept at identifying opportunities to enhance financial reporting and improve profitability for client businesses.

Overview

1
1
Certification

Work History

Customer Segmentation

07.2022 - 07.2022
  • Used an unsupervised clustering algorithm like K- Means Clustering. In K-means, objects are assigned to a cluster based on the Euclidean distance between the object and the cluster’s center, also referred to as the cluster centroid.
  • This fits well with large datasets in terms of computing times and guarantees convergence. However, when centroids are initialized randomly, the algorithm may not assign the points to the groups in the most optimal way.
  • While choosing the hyperparameter k value, it selected upon the optimization principles of the K-means, inertia, practicing the elbow method.

Sharing Market Analysis

04.2022 - 05.2022
  • Applied simple machine learning techniques and algorithms to visualize the stock market patterns and plot the graphs to understand better the risks for a particular stock based on its history, which can help one make better stock investments.
  • Used Pandas and Matplotlib for plotting the data. The analysis can consist of plotting the moving averages for different stocks over varying periods.
  • Plotting heatmaps and cluster maps ( use seaborn modules) of the attributes can also help visualize the correlation between different attributes.
  • Use the Morning Star Dataset to implement this machine learning project in financial domain.

Credit Card Risk Assessment

03.2022 - 04.2022
  • Load the dataset into a data frame and remove rows of data NaN values. Also, convert the categorical values into numerical values using Label encoding.
  • Data was imbalanced. Hence, used the stratifiedKFold method to split the dataset into training and testing sets.
  • ML algorithms that can be used are KNN, logistic regression, and XGBoost(Extreme Gradient Boosting) algorithms.
  • Used the performance metrics like Accuracy, Precision, Recall, and F1 score to evaluate model’s performance. However, since the training data was imbalanced, the Area Under the Curve for the ROC curve would be a better evaluation metric.

Stock Prediction Using Linear Regression

01.2022 - 01.2022


  • Used Linear Regression from the sci-kit learn module in Python for stock price prediction.
  • This supervised ML algorithm uses a linear approach to model the relationship between independent and dependent variables.
  • Fit the Linear Regression model to the N previous closing stock prices and use the model to predict the stock’s closing price on the present day.
  • Used the R2 value or RMSE value to find the accuracy of the model.

Education

Master of Science - Data Science

Rowan University
Glassboro, NJ
05.2024

Bachelor of Arts - Mathematics

Rowan University
Glassboro, NJ
08.2022

Associate of Science - Computer Science

Middlesex County College
Edison, NJ
08.2021

Associate of Science - Mathematics

Middlesex County College
Edison, NJ
05.2020

Skills

  • Machine Learning
  • Financial Analysis
  • Python
  • Microsoft Excel
  • Office 365
  • Azure
  • Java
  • Statistics
  • MySQL

PCEP- Python Certified

PCEP – Certified Entry-Level Python Programmer certification is a professional credential that measures the candidate's ability to accomplish coding tasks related to the essentials of programming in the Python language. A test candidate should demonstrate sufficient knowledge of the universal concepts of computer programming, the syntax and semantics of the Python language, as well as the skills in resolving typical implementation challenges with the help of the Python Standard Library.

Certification

  • This list contains the skills measured on the exam associated with this certification. For more detailed information, visit the exam details page and download the study guide.
  • Describe cloud concepts
  • Describe Azure architecture and services
  • Describe Azure management and governance

Timeline

Customer Segmentation

07.2022 - 07.2022

Sharing Market Analysis

04.2022 - 05.2022

Credit Card Risk Assessment

03.2022 - 04.2022

Stock Prediction Using Linear Regression

01.2022 - 01.2022

Master of Science - Data Science

Rowan University

Bachelor of Arts - Mathematics

Rowan University

Associate of Science - Computer Science

Middlesex County College

Associate of Science - Mathematics

Middlesex County College
Priyanshi Choudhary