Erin Vecchio
Senior Data Scientist @ Chubb
About
My name is Erin Vecchio and I am a recent engineering graduate of Cornell University (BS'19 and MEng'20). During my undergrad, I obtained a wealth of knowledge in supply chain analytics, operations management, and data science. To compliment my Operations Research and Information Engineering degree, I also obtained a business minor from Cornell's Dyson School of Business. During my fifth year at Cornell, I obtained a Master's Degree in Engineering Management and was accepted into Cornell's Johnson School of Management. The strategic systems and operations immersion program provided me the opportunity to apply my operations logistics skills in a capstone project. With the completion of my degree, I plan on pursuing a career in supply chain and data science. Throughout my life, my experiences and activities have provided me with a number of skills: As a graduate researcher, I developed my time management and communication skills. In the fall semester, I aided our Men's Basketball team by creating their data analytics program. I was able to reinvent how they evaluate high school talent and redefine the importance of recruitment KPIs by developing a Pareto Front analysis. For the spring semester, I analyzed the impact of the Astros cheating scandal on both a team and player basis. I presented my findings to a team executive in which he agreed with my findings that relaying signals did not have a positive or negative impact on the Astros' ability to win during the regular season. In addition to research experience, I have gained valuable data analytics and problem-solving experience through my three summer internships with Chubb Insurance. Over these summers, I had the opportunity to learn from experts in the data science field. From this, I learned the preparation needed to communicate strategic action plans to business partners with varying levels of data science knowledge. The ability to effectively communicate my results and solutions allowed me to gain key professional experience. To complement my academics, holding positions with Pi Beta Phi fraternity provided me leadership mentorship lessons from upper-classmen. With the presidential role with Cornell Club Field Hockey, I had the opportunity to mentor younger members and interact with the governing club board of New York State. I am passionate about the intersection of operations, supply chain and data science, and the hustle of facilitating and creating their solutions. I can be contacted via email at efv9@cornell.edu. I hope to have a chance to show you how I can impact your organization.
United States
New York City Metropolitan Area
Insurance
Product Management, Tableau, Python (Programming Language), Natural Language Processing (NLP), Artificial Intelligence (AI), Azure Databricks, Microsoft Excel, Data Science, Data Analysis, SQL, Commercial Insurance, Sports Analytics, Machine Learning, Project Management, Leadership, Financial Analysis, Data Visualization, Public Speaking, Statistics, Operations Research
Experience
Senior Data Scientist
Chubb
Jersey City, New Jersey, United States
Data Scientist
Chubb
Jersey City, New Jersey, United States
Chubb Associate Program | Talent Champion Program - Spearheaded analytics projects that leverage AI technologies such as unstructured data processing, knowledge graphs, neural networks, link analysis, NLP, and image analytics to solve business adversities. - Collaborated with cross-functional teams to align AI solutions with global business strategies, fostering innovation and efficiency on a multinational scale. - Developed predictive fraud classification ML models (isolation forest, xgboost, and logistic regression) - Led a global team to develop fraud & recovery classification models - Languages: Python and SQL - Platforms: Databricks, VSCode, and MS SQL - Packages: XGBoost, NumPy, Scikit-learn, Pandas, Transformers, TensorFlow, Fuzzywuzzy, and Huggingface
Graduate Student Researcher
Cornell University
Ithaca, New York, United States
- Investigated the impact relaying pitches had on the success of the 2017 Houston Astros - Built a Holt-Winter's Additive Seasonal Effects and Stationary Data with Multiplicative Seasonal Effects forecasting models in Excel and conducted a Linear Regression with backward p-value forecast analysis in R to understand the impact it had on predicting 2018 and 2019 season win totals - Calculated the correlation and causation impact on a team level with regards to win-percentage and win totals broken down on monthly and opponent basis - Presented findings using an interactive Tableau dashboards - Analyzed how the top three players batting statistics deviated from their forecasted totals - The final poster presentation was delayed due to Covid-19 and was rescheduled for October 2020
Data Research Analyst for Cornell Men's Basketball
Cornell University
Ithaca, New York Area
- Aided the establishment of Cornell Men’s Basketball data analytics program - Instituted best practices to maintain the integrity in online data collection for recruiting and in-game statistics - Performed logistic regression in R using high school data from past All-Ivy award winners to determine the top 3 attributes associated with points scored - Utilized Sportscode to create metrics on basketball IQ for coaches to incorporate in lineups - Met weekly with the Cornell coaching staff to communicate the findings from the logistic regression in a non-mathematical way and explain the impact to the next stage of the recruitment process - Conducted Bayesian statistical analyses on the historical game data to create scouting reports for strategy development and in-game decision support
Data Analytics Intern
Chubb
Whitehouse Station, New Jersey
- Pulled and cleaned 4k data points from Databricks and identified 248 cases of inaccurately classified SCI classes and determined the cause of the error - Constructed a 3D Matrix with 16k+ data points using pandas and pyspark to visualize the impact token words on model classification - Determined model overfit and made solution recommendations to remodel using more balanced word classifiers to the executive steering committee
Student Brand Ambassador
Newbridge Marketing
Ithaca, New York Area
- Collaborated with 36 college students across the United States to increase engagement by 45% of our weekly social media posts on Facebook and Instagram - Engaged with over 2k students and community members by tabling and working pop-up shops
Data Analytics Intern
Chubb
Whitehouse Station, New Jersey
- Constructed and optimized high-level project workflows - Collaborated on data and business architecture projects
Digital Data Analytics Intern
Chubb
Whitehouse Station, New Jersey
- Participated in a Hackathon to optimize the UI/UX of the Chubb Small Business webpage - Compiled a technical report and analysis for senior management on underwriting practices
Education
Cornell Johnson Graduate School of Management
Strategic Systems Operations Immersion Program
Semester in Strategic Operations (Cornell Johnson MBA Program) | GPA: 4.041
Cornell University
Engineering Management
GPA: 4.053 | Project Management - Head TA Sports Analytics Research: Cornell Men's Basketball - Recruitment Data Analysis Program | Astros' Sign Stealing Impact
Cornell University
Operations Research and Information Engineering (ORIE)
Dean's List | Business Minor | Pi Beta Phi | Club Field Hockey (President) Internships: Chubb (3 summers)
Erin Vecchio's Contact Information
Phone
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