Data Scientist, Data Analyst, Business Analyst, Financial Analyst

Richard Blake Arledge

New York, NY ***** • 512-***-**** • *******.*.*******@*****.***

https://www.linkedin.com/in/richardblakearledge/

Qualifications Profile

Analytical and goal driven professional seeking opportunities to leverage prior experience interpreting client requirements and providing technical solutions in large scale data-driven environments. His experience in technology consulting and quantitative analysis, coupled with his training and skills in data science enables him to excel as a Data Analyst, Quantitative Analyst, Developer or other related software role.

• Design and develop methods, processes, and systems to consolidate and analyze structured, unstructured, and diverse data sources to generate actionable insights and solutions for customers.

• Utilize strong analytical and reasoning skills to create solutions for complex business problems. Exceptional bias for action, with ability to move quickly and decisively to resolve incidents or issues.

• Advanced quantitative skills, subject matter knowledge and expertise in multiple business areas. Skilled at utilizing tools to produce meaningful results.

• Experience with data models, database design development, and data mining. In-depth understanding of Jupyter notebooks, Pandas and Tableau. Experience in Scrum and Agile methodologies.

• Excellent business and technical communication, verbal/written communication and presentation skills, with ability to collaborate and influence at multiple levels.

Core Technologies

Languages: Python, SQL, C++, Java, JavaScript, R

Tools: Jupyter Notebook, Tableau, MySQL, Docker, Microsoft Office Suite, Microsoft Project, Microsoft Visio Experience Highlights

Capital Technology Solutions Inc., New York, NY

Quantitative Research Fellow, Mar 2019 – Mar 2020

Capital’s first hire on its quantitative investment team. Helped lay the groundwork for what ultimately became The Capital Machine - capital’s proprietary investment platform. Played a critical lead role in different phases of the investment process supporting deal sourcing/outreach, industry research, deal diligence, and portfolio support with systems I built in Excel, Google Sheets and Jupyter.

• Tested and deployed Capital’s first investment decision-making model into production

• Enhanced recruiting efforts by automating an end-to-end candidate sourcing pipeline with LinkedIn scrapers, Google Apps Script macros and the Zapier, Greenhouse, and Salesforce APIs.

• Led a team of engineers to consolidate pipeline and investment data for the investment team to make more efficient, data-driven decisions.

• Executed end-to-end transactions including onboarding, underwriting, structuring and negotiating private credit investments and completing due diligence. I managed up to 5 deals simultaneously and owned client CEO relationships. Deloitte Consulting LLC, Chicago, IL

Business Technology Analyst, Sept 2017 – Mar 2019

Performed technology-based client facing roles within the Systems Integration group which included strategy planning, requirements gathering, implementing business processes, testing and ensuring complete system transformation. Utilized appropriate tools and techniques to elicit and define functional and non-functional client requirements, in collaboration with client SMEs.

• Developed a Python unit testing strategy through conducting various POCs pertaining to testing suites, Python generic templating, and logging functionality.

• Developed plan to replace legacy systems with high quality scalable processes, tools, and solutions for a major Health Insurance Federation, State Government agency and S&P 400 Service Provider.

• Served as PMO analyst on 300+ practitioner scaled agile project, coordinating 16 scrum teams and acting as liaison between Scrum Masters and project leadership.

• Built relationships with key stakeholders by setting expectations and establishing and maintaining communication throughout the project cycle, maximizing stakeholder satisfaction.

RF Micron Inc., Austin, TX

Software Engineering and Technology Strategy Intern, May 2015 – Aug 2015 Gained software engineering experience, database management experience, and cross-functional process knowledge.

• Developed Android application for microprocessor-based product development kit utilizing UNIX, Java, C/C++ (native application code through JNI), Realterm, and XCTU allowing potential clients to test the product.

• Enabled Sales team to address previously unanswered customer inquiries by automating the inquiry process and storage using Google Apps Script in JavaScript.

Education and Credentials

Bachelor of Science in Computer Science, Minor in Engineering Management, May 2017 College of Engineering, Vanderbilt University, Nashville, TN Certifications

• Certificate of Data Science, BrainStation Mar 2020 Key Topics: NumPy, Pandas, and Sklearn libraries; functionality of Jupyter notebook, data cleansing, range of statistical models to apply to datasets and how to validate these models.

Final Project: Binary classification model for prediction of Forex currency fluctuations.

• Data Visualization and Communication with Tableau, Coursera, Duke University, Mar 2020

• Managing Big Data with MySQL, Coursera, Duke University, Jun 2020

• Certified Associate in Project Management, PMI, Aug 2016

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