SQL, Python
Resume:
Irene Bratsis
Data Scientist
NY, NY
************@*****.***
github.com/irenebratsis
linkedin.com/in/irenebratsis
Skills
Python, SQL, Numpy, Visualizations, A/B Testing,
Supervised & Unsupervised learning, Machine
Learning, Feature Engineering, Customer Success,
Strategic Account Management, Pandas, Analytics,
Operations, SaaS environments, Localization,
Relationship building, Negotiation, Project
Management, Salesforce, Communication, KNN, NLP,
NLG, Data cleaning, Data mining, Decision Tree,
Random Forest, Tableau, Deep learning, BERT,
Perceptron Models, Hadoop, Spark, Reporting &
Budgeting, Curiosity, Dedication, Trust Building,
Relationship Building, Regression & Classification Education
BA 2010 Simmons College
Double Major: Economics and International
Relations
Study Abroad 2007 Arcadia University
xPRO Certificate 2019 M.I.T.
Data Science & Big Data Analytics:
Making Data Driven Decisions
2019 Thinkful
Data Science apprenticeship
2019 BerkeleyX
Prediction and Machine Learning
Inferential Thinking by Resampling
Computational Thinking with Python
2019 DataCamp
Data Science Track
Summary
Lifelong learner exploring roles in a collaborative, positive, growth-oriented environment that’s focused on team building, collaboration and cultivating a positive environment where I can leverage my strategic client experience Projects
World Happiness Capstone - Jupyter Notebook, GitHub, Python Exploring the dynamics and contributors to how we derive happiness using EDA, feature engineering and storyboard format
Avocado Prices Capstone - Jupyter Notebook, GitHub, Python Exploring the relationship between PLU, type, year and region on predicting avocado prices with linear regression
Ethereum Prices Capstone - Jupyter Notebook, GitHub, Python Ether Pricing Data has been used in this project to understand the dynamics and contributors to predicting ether prices.
MovieLens K means clustering Capstone-Jupyter Notebook, GitHub, Python Unsupervised Learning Capstone in depth analysis with K means Clustering to discover structure in metadata related to genres, movie titles, year and tags. Zillow Economic Data Capstone - Jupyter Notebook, GitHub, Python Zillow and Economic Data Exploration: Final Capstone incorporating supervised and unsupervised learning techniques with federal economic data, state median prices, price per square footage and days on the market, as well as city median prices. Experience
Data Science— THINKFUL — 2019-2020
Learned industry best practices and practical software development standards with a focus on Python, SQL, algorithms & data structures. Created and deployed data science projects across a variety of industries and content while learning new languages and frameworks by collaborating several hours every week with a senior data scientist to ensure proficiency across a variety of models, tools and algorithms.
Sales and Delivery Adviser/Operations Analyst — Tesla — 2018-2019 Influenced over $100M in revenue through the creation of east coast campaigns that drove sales and traffic to our showrooms. Created salesforce KPI reports and dashboards. Focused on improving processes related to sales and delivery from an operational perspective.
Sales Operations Consultant — Memsource — 2017-2018 Directly managed sales operations and profile creation for two revenue streams through partners and SaaS customer channels, mapping the US market for an international AI based translation platform. Sr. Global Account Manager — Moravia IT — 2016-2017 Built account strategies for top tier F100 accounts and grew $3m portfolio with 19% growth in recurring revenue. Served as the main escalation point and central point of contact for C level key stakeholders and their global teams to ensure customer success with high visibility and strategic clients. Premier Customer Account Manager — Experian Data Quality — 2013-2016 Project managed data migration from Oracle Siebel as subject matter expert and acted as salesforce power user and salesforce trainer for the client services department after go live. Drove customer success for a $3M portfolio of 75 companies and growing it by 15%
Internships: Morgan Stanley Smith Barney, International Institute of Boston
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