KPMG US

Senior Associate, Pricing Analytics 

Pioneer Natural Resources Company

Data Engineering Analyst

Clark University

Guided students by answering questions about Policies, Procedures, and course Outlines as it relates to their areas of Concentration

Graduate Assistant

Graduate Assistant at Clark University

MassDOT

Created mobility dashboards in Excel and Tableau for data reporting by using pivot tables and
VLOOKUP, which enhanced management’s ability to communicate findings across the organization

Extracted, interpreted and analyzed transportation data to define metrics and transform raw data into
meaningful, actionable information, insights and recommendations

Wrote Python to automate input of data into Excel saving GIS department 30 hours of manual entry

Performed data mapping, blending and ETL design using Alteryx, which cleaned and validated data

Led group of 8 that reported to deputy CTO while coordinating presentation of weekly data analysis
utilizing visualization tools like Tableau, and Power BI

Optimized arrival time for buses and trains which reduced delay times by 20% by utilizing Python to
implement unsupervised machine learning techniques.

Data Analyst Intern

Wells Fargo

Pinpointed organizational assumptions and potential pitfalls of launching new home equity line of credit by analyzing customer complaint data regarding current home equity line of credit product

Analyzed customer insights, product analytics and competitive intelligence with team of market 
 research consultants to develop go-to-market strategy for a $500M jumbo loan product line

Located, validated, extracted, and formatted data for analysis testing by utilizing large complex
technology environments like SQL & Power BI

Implemented data extraction from MySQL databases and performed statistical mining using Python.

Big Data Analyst Intern

Detail-oriented, passionate about Data Analytics with two years of industry experience. Open to opportunities in Data Analytics & Engineering.
I am Skilled in data extraction, cleaning, visualization, statistical data analysis, and exploratory data analysis. Proficiency in reporting and analysis with strong communication skills. Constantly seeking and learning new technologies. Passionate about STEM.

Technical Skills:
• Programming: SQL, R, Python, Java (core)
• Database: SQL, PL-SQL
• Visualization Tools: PowerBI, Tableau, Alteryx, Spotfire, Matplotlib, Seaborn, ggplot2
• ML Concepts: Regression, Classification, Principal Component Analysis, k-NN, Collaborative Filtering, Clustering
• ML Libraries: NumPy, Pandas, Scikit-Learn, rpart, CARET, MASS, tidyverse
• Analysis & ETL Tools: Alteryx, MATLAB, RStudio, MS Excel, SAP

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