ARAVIND DHANABAL

Mail: adjjmv@r.postjobfree.com

**** ***** ***** ******, ************, Tennessee 405-***-**** LinkedIn Profile GitHub Tableau Profile Summary

Detail oriented data science professional with 4+ years of experience in Project Management team with strong technical expertise in engineering, finance and retail marketing. Experienced in interpreting ad-hoc analysis, data manipulation and analyzing algorithms to complex data sets with excellent problem solving, quantitative, qualitative, critical thinking analysis skills with strong attention to details. Strong expertise in identifying business requirements, developing key performance metrics, presenting data driven presentations with excellent verbal, written communication, reporting and interpersonal skills. Professional Experience

Product Research and Analyst Intern, CreditXpert, Maryland (Credit risk) [Aug 2019 – Dec 2019]

• Created scripts to extract, parse customer credit bureau data from the customer log files across clients like Experian, Transunion and Equifax using SAS, Python and documented code, version control for transparency

• Analyzed and manipulated large transactional data sets from multiple data sources for creating monthly, quarterly reports for performance tracking and developed documenting requirements, reporting strategies using SAS Enterprise Guide Business Analysis Reporting Intern, Southeast Toyota Finance, Florida (Finance) [Jun 2019 – Aug 2019]

• Analyzed on associate claims data from SQL server using complex SQL queries and business performance by providing data visualizations (Business reporting automated dashboards) to track performance for all levels of stakeholders

• Assisted my manager on interpreting and summarizing the pricing matrix finance data and developed dashboards for corporate reporting to guide for business support decisions and to improve business performance Project Manager, Schaeffler India (Automotive) [Aug 2015 – Nov 2017]

• Single interface to customer support (client-facing) for analytical and product focused solutions and responsible for multiple clients concurrently with cross-functional stakeholders for 3 years and managed projects with efficient teamwork skills

• Experienced in multi-tasking critical projects, handling multiple priorities and scalable project’s improvements & procedures, planning resources to critical deadlines and handled priorities by improving client service orientation experiences

• Experienced in presenting data visualizations, findings and complex concepts to senior management and stakeholders

• Self-motivated, proactive and ability to work independently in fast paced environment with strong organizational skills Education

Master’s degree (MS) in Business Analytics, Oklahoma State University, Stillwater, USA. [Aug 2018 - May 2020] Bachelor’s degree (BS) in Mechanical Engineering, PSG College of Technology, India. [July 2010 – May 2015] Technical Skills

Programming Languages: Python, SAS, Advanced SQL, R, Pyspark, Unix/Linux, HTML Business Intelligence Tools: Microsoft Excel (vlookup, pivot tables, charts), MS PowerPoint, Tableau, Power BI, Alteryx, Looker Relational Databases: RDBMS - Microsoft SQL Server, SQL Workbench, MS Access, Oracle and Teradata (ETL workflows) Other software: SSRS, SPSS, Azure, SAP, Apache Spark, Hadoop, Spotfire, MS Word, MS Project, Microsoft Office Concepts: Statistics, Mathematics, Data Analysis, Data Visualization, Data Warehouse, Business Intelligence BI Regression, Data Management, Financial Models, A/B Testing, Marketing Analysis, Machine Learning, Agile & Waterfall methods Certifications and Paper Presentations

• SAS® 9.4 Certified Base Programmer R and Python – Data camp certified SAS® and OSU Data mining certified

• Presented a paper on “Ecommerce Retail Market Basket Analysis on Instacart to enhance customer buying experiences”, SAS Analytics Conference, Virginia, October 2019

• Top 8 finalist in SAS Student Symposium 2020 on the paper “Police gun shootings in United states” in SAS Global Forum Projects

Predicting the factors that leads to police gun shootings (Python, Alteryx, Advanced SQL, Tableau) [Sep 2019 – Dec 2019]

• Performed in-depth analysis and predicted GLM models which listed out the different strategies and factors that influenced police shootings to drive data-driven informed decision-making, business actionable insights and recommendations

• Identified the trend and analyzed the relationship of model across the most contributed quality-focused features Predicting optimal location for coffee shop using location and suitability analysis (SQL, ArcGIS) [June 2019 – July 2019]

• Analyzed, identified the root causes and predicted the optimal location for installing a coffee shop using GIS tools

• Analyzed the market conditions, competitive factors, risks, and opportunities using experimental design and location analysis based on customer demographics and developed a customer growth marketing strategy Pricing strategy and prediction of customer churn for OSU Football (Python, SQL, Alteryx) [Sep 2018 – May 2019]

• Conducted customer pricing analysis by analyzing trends, patterns, seasonality and developed an experimental design optimal pricing strategy for individual ticket sales using exploratory analysis to make pricing recommendations

• Predicted the customer churn and developed an attribution model based on customer attrition data using Python