Data Financial Analyst

DATA SCIENTIST - FINANCIAL/BUSINESS ANALYST

Thomas Bacas

HOW TO REACH ME:

Cell: 571-***-****

***********@*****.***

https://tbacas.github.io

@thomas-bacas

WORK EXPERIENCE

PERSONAL PROFILE:

Using data driven insights, I help business leaders answer difficult questions by translating big data into actionable information. I have done work for clients across many industries like finance, politics, manufacturing and government. I deliver value to my clients by driving innovation and pushing creative solutions to problems. EDUCATIONAL TRAINING

Wofford College

2013-2017

Bachelor of Arts - Finanace & Accounting

General Assembly Data Science

Immserive Program

2018-2019

Graduated from a full-time data science immersive program focused on real-world applications of data science principles and best practices.

- Developed bond price predictions with neural networks and times series analysis.

- Working with New Light Technologies and FEMA, developed house damage valuations from Zillow.com for disaster impacted areas using API and GeoPandas. PROFESSIONAL SKILLS

Business Analysis

Strategic Consulting

Power BI / Tableau

Data Wrangling

Regression & Classification

Analysis

Data Engineering

Front End Development

Managing Clients

Collaborative Development

Developing on cloud

Data Base Management

Financial Modeling and Data

Analysis

Micro/Macro Economics

Machine/Deep Learning

Equity and Industry research

CHARACTER

REFERENCES

Scott Barbee

Managing Director, Aegis

Financial Corp

Cell: 703-***-****

Tim Crouch

Director of Regional Engagement,

Mercersburg Academy

Cell: 717-***-****

Data Scientist

Red Oak Strategic Feb. 2019 to Dec. 2019

Worked independently and collaboratively to develop data science solutions for clients across several sectors including finance, politics, manufacturing and government

- Used regression and classification modeling techniques for predicting market segmentation and voter turnout in political race for strategic positioning.

- Performed variable pricing forecast for international energy trading firm.

- Developed internal tools via Django web apps to improve analytic capabilities of team members. Reducing report generation times from 3 days to 2 hours.

- Built data flow pipeline into AWS redshift, scheduled Lambda script functions to perform ETL. Optimized and managed database up to 1 TB of Scale

- Developed data warehouse, dashboard and report generation products for wealth management client AUM of $2b. Business Operations Analyst

Sartomer Arkema Group Jun. 2017 to Aug. 2017

Financial Analyst

Aegis Financial Corp May. 2016 to Aug. 2016

ADDITIONAL RESOURCES

Github: github.com/tbacas

Medium Articles:

"Predicting Accurate Bond Prices with Neural

Networks"

"Divorcing Excel — Why I do my analysis in Python" SCRIPTING LANGUAGES

Python, SQL, R, Java

Conducted technical migration and infrastructure development for Department of Justice. Developed data lake solution in AWS providing mission critical access to data across every level of the department down to the individual agent.

- Analyzed potential database solutions and user integration abilities, provided strategic support and development

- Developed dashboard solutions for mobile and desktop users through proprietary system Supported the Mail Entry and Payment Technology Organization within the United States Postal Service. Responsible for the systems that work with commercial mailers and shippers to support streamlined mail acceptance, while simultaneously assuring appropriate revenue is collected.

- Managed analytics/data science team in pipeline engineering and data cleaning to leverage powerful cloud environment and improve overall analytics initiatives for USPS

- Created interactive, automated, daily reports via custom scripts and PowerBi that were shared throughout USPS leadership to support major client technical migration, capturing areas of untapped revenue valued at over $100M annually

- Developed tools to aid client in automating previous manual tasks, resulting in major time savings for customer dispute and repricing process that processes $10M+ annually

- Lead analytic reporting initiatives generating rapid response to company wide strategic objectives

- Created API and trained less technical staff to operate increasing productivity from 1- 2 days to 10 mins CERTIFICATIONS

AWS Cloud Practitioner

Public Trust Security Clearance

Management Consultant - Data Science & Engineering Accenture Federal Services Jan. 2020 to Present

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