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Entry-Level Data Analyst

Location:
San Jose, CA
Posted:
December 18, 2020

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Resume:

LAV JOVANOVIC

** ****** **. ***** *****, CA, ****0 408-***-**** ***@******.***

www.linkedin.com/in/lav-jov

EDUCATION

Santa Clara University, Leavey School of Business, Santa Clara, CA June 2020 Bachelor‘s Degree, Major in Management Information Systems: Minor in Business Analytics SKILLS & INTERESTS

Technical: SQL, Python, Java, Pandas, Google Analytics, Unix, HTML, CSS, Microsoft Office Suite Analytical: Machine Learning, NLP, Prescriptive & Predictive Analytics, Data/Text Mining, Social Media Analytics Languages: Bilingual English & Serbian, Intermediate Spanish, Intermediate Italian Ask me about: My hometown in Belgrade, the NBA, my failed start-up idea and my two siblings. PROFESSIONAL EXPERIENCE

Wedbush Securities, Bangkok, Thailand Summer 2019

Summer Analyst

Compiled daily sector & company reports from financial partners across 13 Asian markets in order to create an easily- digestible report for stakeholders and clients

Communicated with Thai investor relations staff to schedule and attend meetings with top executives at Thailand’s emerging public companies as part of research and outreach

Prepared presentation material, financial models, and cash flow analyses for client and investor engagements Boatbnb, Santa Clara, CA Dec 2016 – Feb 2018

Co-Founder (Startup Project)

Created a business concept to create a platform that would allow boat owners to be connected to boat enthusiasts, lowering the cost of boat rentals and mitigating the high costs of boat ownership

Developed an initial market analysis and strategy, a functional website & app, and profit model that found a space to create real potential value in a scalable environment

My Own Business Institute, San Jose, CA Jan 2019 – Oct 2019 Business Consultant

Provided consulting services to a cleaning business in its infancy and helped it grow over an 8 month period using business intelligence and financial planning

Helped the owners organize their finances and manage their online presence in order to prepare them to scale-up Costco Wholesale, Santa Clara, CA Oct 2017 – July 2020 Service Deli Clerk

Unboxed, cooked, packaged, and sold Costco’s #1 selling item, the rotisserie chicken

During college, I worked 24 hours nearly every weekend. During the COVID pandemic, I was an essential worker at this business. Ask me about the unique problems I faced in this role DATA SCIENCE ACADEMIC PROJECTS

Predictive Analytics on Weather, San Jose, CA Mar 2019 Python, Machine Learning

Cleaned & transformed a dataset of various weather metrics in order to build a machine learning algorithm that predicts rain probability on any given day in Austin, Texas

Used data analysis tools like model selection, feature engineering and parameter tuning to ensure a good fit and with low bias and variance

Survey Analysis, San Jose, CA Apr 2019

Python, Pandas, Seaborn

Cleaned, analyzed, and visualized responses to a 140 question survey with over 100,000 respondents (Stack Overflow Users) in order to give meaningful hypothetical advice to Stack Overflow

Compared responses across various countries to infer how conflicting views on AI may be influenced by geopolitical and socioeconomic factors

Natural Language Processing on Drug Reviews, San Jose, CA Feb 2020 Python, NLP, Decision Trees, Topic Modeling

Trained an algorithm to detect keywords indicative of a positive or negative sentiment across various drugs in order to draw conclusions related to drug efficacy or problematic side-effects

Created a topic modeling algorithm that consolidates thousands of reviews into a few meaningful high-frequency phrases which can then be used to determine attitudes within any segment of the dataset



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