San Jose, CA *****
linkedin.com/in/priyadarshini-de • email@example.com • github.com/depriyadarshini
Data & Business Analyst
Dedicated, goal-focused, and forward-thinking professional with an academic and project background in data and business analytics. Skilled in the utilization of key business intelligence solutions to perform critical analysis and reporting of various datasets. Keen attention to details focused on identifying trends, gaps, and key performance indicators (KPIs). Adept at learning to skills to drive program success.
Data Analytics / Research / Reporting/ Data Management /SQL and SQLite /Marketing Analytics/Statistical Analytics/Financial Analytics/Python/R/SAS/Economics
Python (NumPy, pandas, Matplotlib, SciPy, Keras, scikit-learn, TensorFlow), R, SAS, Tableau, Power BI, MySQL, Microsoft SQL Server, Jupyter Notebook, JIRA, NOSQL(MongoDB)
Microsoft Office Suite
Analytics & Reporting:
Statistical tools for Quantitative analysis, Financial Analytics, Marketing Analytics, Google Cloud Platform (GCP)
EDUCATION AND TRAINING
Master of Science in Business Analytics (September 2019) (GPA: 4/4)
Saint Mary’s College, Moraga CA
Master of Science in Economics (GPA: 3.8/4)
Bachelor of Science in Economics
University of Calcutta, Kolkata, India
Completed Master tracks of SQL and Python.
INTERNSHIP & RESEARCH EXPERIENCE
Data Analyst Grad Intern (08/2019 – Present) Saint Mary’s College, Moraga, CA
Designing a centralized relational database system to organize and facilitate the collection of student information for analytics.
Formulating models to predict student intake by the college
Supply Chain and Operations Analyst – Intern (3/2019 – 6/2019) Optimum Supply Chain – San Jose, CA
Developed tables in SQL highlighting change in percentage growth and utilization period over period.
Facilitated metadata extraction by building queries in SQL.
Research Assistant (1/2019 – Present) Saint Mary’s College, Moraga, CA
Applied predictive time series modeling to forecast values from 2017 to 2020 gathered through a comprehensive analysis of the educational unification dataset.
Accurately displayed trends through the creation of visualization.
Authoring a paper highlighting finding.
Capstone project on IEEE-CIS Fraud Detection Dataset
Created models to predict fraudulent transactions based on transaction and identity features.
Formulated a hyper-tuned random forest model.
Marketing Analysis of Happiness Dataset
Applied A/B testing and segmentation methodologies and performed regression analysis across various happiness data clusters.
Highlighted importance of different dependent variables of the happiness dataset leveraging cluster and factor analysis.
Data Analyst/Researcher - University of Calcutta • Project Intern - Pacific Scientific Consultancy Private LTD • Economics/Math Teacher - Army Public School (2015-2017)