POOJA PATIL

+1-313-***-**** ad47v2@r.postjobfree.com LinkedIn GitHub

OBJECTIVE:

As a dual master's student with 3 years of data analysis experience, seeking an opportunity to apply my analytical skills to solve business challenges and assist organizations in developing data-driven strategies. EDUCATION:

Master of Science in Business Analytics Seattle University, Seattle, WA Graduating August, 2024 GPA: 3.85 (Dean’s listed)

Courses: Machine Learning, Data Architecture for Analytics, Database Management, Data Visualization, Boardroom Analytics, Python For Business Analytics, Data Processing, Big Data Analysis, Statistics application and quantitative methods, Applied Econometrics, Stakeholders Management, Marketing Analytics, Law and Ethics, Analytics for finance decisions and market insights. Master of Business Administration University of Pune, India Graduated April, 2019 Bachelor of Engineering in Computer Science Engineering University of Pune, India Graduated May, 2017 SKILLS:

Programming Languages: SQL, PL/SQL, R-Programming, Spark, SAS, Python (Pandas, NumPy, Scikit-learn, Matplotlib, PyTorch). Database & Tools Experience: Tableau, Power BI, SAS, Git, MS Excel, MS word, MS Power point AWS, MongoDB, JMP, Oracle DB, RStudio, Jupyter Notebook.

WORK EXPERIENCE:

Research Assistant Acosta (Sales and Marketing) September 2023 – December 2023

• Assisting Acosta's sales and marketing team by conducting market research to pinpoint geographical and consumer trends in the global retail landscape, including insights into Acosta's competitors. Graduate Teaching Assistant Seattle University, Seattle March 2023 – June 2023

• My responsibility entails assisting the professor in grading assignments and coordinating lectures, projects, and exams for the students enrolled in the "Managing Stakeholders with Data" course. Data Analyst Heritage Enterprises, India May 2018 – Jan 2021

• As part of the Candidate Data Management & Analysis project, I collected, cleaned, and analyzed data, identified trends, provided insights, and made recommendations to improve recruitment strategies. I also generated a comprehensive report with interactive dashboard and presented it to top management and stakeholders.

• The data-driven recruitment strategies that I developed resulted in the company being able to hire employees twice as quickly compared to the older approach.

• Skillset: SQL, Excel, Tableau.

ACADEMIC PROJECTS (https://github.com/poojapatilhr): Market Basket Analysis (Machine Learning): (GitHub-Link) Jan 2023 - Feb 2023

• I developed a python (Panda’s dataframe) program that utilized the Apriori algorithm to analyze transaction data from a grocery store. This allowed me to identify frequent item sets and generate association rules using confidence and lift values.

• By utilizing these association rules, I gained insight into customer behavior when purchasing groceries. This knowledge helped me make informed decisions about which food items to sell alongside others in the store to maximize profits. Homeowners Compensation Analysis: (GitHub-Link) Oct 2022 - Dec 2022

• I conducted an in-depth Exploratory Data Analysis (EDA) to identify the relevant variables for developing two Multiple Linear Regression (MLR) models of sales price. Estimated the MLR models using the R programming language to predict suitable compensation amounts for homeowners impacted by a road expansion project.

• Derived a mathematical formula that government officials can utilize to accurately determine compensation figures for homeowners in future scenarios involving similar road expansion projects. Wait First Securities Stock Analysis: (GitHub-Link) Sep 2022 - Oct 2022

• I conducted an analysis using Simple Linear Regression (SLR) model on a sample of Apple, Intel, and Kroger stock data against the SP500. Did Exploratory Data Analysis (EDA) to analyze S&P 500 and three stock returns, computed summary statistics, and built CAPM models to assess beta significance.

• After conducting a comprehensive analysis of the data and considering investment objectives, it was observed that Intel stock exhibited lower volatility and robust performance in both bullish and bearish market conditions compared to Apple and Kroger stocks. Consequently, a purchase recommendation was made for Intel stocks. CERTIFICATIONS:

1. Google Data Analytics 2. Tableau for Data Science 3. Learning R 4. Basic Statistics (Python) 5. Power BI: Dashboards for Beginners