🏎️ Building the Future of car repair through CarvisBacked by mobility driven VCs: Trucks, Michigan Rise and IDV.And notable angels: Qasar Younis (Founder of Applied Intuition) and Dug Song (Founder of DUO Security).

• Directed cross-functional teams in the meticulous requirements gatheringprocess, coordinating with the Center of Learning, dealership service manualteam, and product and services handbook team to aggregate comprehensivedatasets.• Innovated billing processes by insourcing and developing a Python-based billingautomation script, integrating enrollment, credit, and promotional data, whichculminated in substantial cost savings of $20,000 per month.• Pioneered a predictive analytics project utilizing a RandomForest classifier toassess the impact of dealer response times on sales outcomes, blendingdatasets including dealer response, vehicle inquiry, and lead generation data.• Conducted robust model training and analysis to evaluate the influence ofsalesperson response times on the likelihood of vehicle sales, contributingvaluable insights into customer lead dynamics.• Demonstrated strong analytical acumen by critically examining the predictivemodel's hypothesis, concluding dealer response time was not a significantfactor during the period of vehicle scarcity (2020-2021).• Partnered with the business strategy forecasting team to engineer an insightfulExcel dashboard, synthesizing monthly billing program files to forecast dealerenrollments, package selections, and GM profit margins.• Implemented a Multiple Linear Regression model to predict future trends,selected for its simplicity and interpretability, which is ideal for stakeholderswho prefer transparent and straightforward analytical methods.

• Attended key stakeholder meetings with Founders, Zoho, AltexSoft and Investors. Discussed travel portal & super app strategy/ideas with a case study comparing competitors and leveraging unique value propositions to attract users.• Created a pitch deck for Seed investors and Saudi Hajj&Umrah Ministry, dissected a full Go To Market strategy by identifying Ideal Customer profiles using data from Maqam public data.• Built a Business Model Canvas for management team to visualize core business and channels. Worked on developing a dashboard proposal using sales, customer, and financial data to visualize key KPIs for senior management using Zoho tools.

• Spearheaded the optimization of a QlikView dashboard for tracking future vehicleprogram engineering checkpoints, significantly enhancing decision-making processesfor senior management.• Innovated data integration by establishing a real-time Alteryx workflow, reducing thedata collection process from 3-4 hours to a mere 5 minutes, thereby boostingproductivity and eliminating manual errors.• Pioneered a connected vehicle warranty analysis project, collaborating withengineering teams to substitute costly real-world testing with data-driven diagnostics,leveraging Ford's Azure Apache Spark environment.• Crafted complex SQL queries to aggregate multi-faceted vehicle data, synthesizingengine sensors, ambient conditions, and geolocation information into acomprehensive data set for analysis.• Managed vast data sets using Azure Blobs across multiple vehicle lines in NorthAmerica, demonstrating adept handling of high-volume, high-velocity connectedvehicle data.• Utilized Alteryx to meticulously clean, filter, and manipulate connected vehicle dataaccording to engineering specifications, ensuring high-quality inputs for analysis.• Employed Python for in-depth statistical and graphical analysis, identifying enginemisfire patterns and pinpointing vehicles operating outside standard engineeringtolerances.• Delivered actionable insights by identifying VINs that exhibited engine performancedeviations beyond 2 and 3 standard deviations, aiding in the proactive rectification ofpotential warranty issues.• Presented findings to cross-functional teams, aiding in the adoption of connectedvehicle data for preemptive diagnostics and enhancing the efficiency of theengineering workflow.• Designed an innovative three-step training program to enhance engineers' proficiencyin data-driven analysis, focusing on the utilization of Ford's proprietary tools: QualityEarly Detection Dashboard, Warranty Trend Analysis Dashboard, and DTC Spike Toolfor hypothesis testing.

MSDSBA Practicum Project • Conducted Exploratory Data Analysis and Statistical Analysis to test hypotheses through visualization and provided insight and key takeaways on different feature columns• Integrated prescriptive LIME analysis on predictive model to explain feature importance and interactions• Collected, integrated and modeled competitor and market intelligence data for entity extraction using RapidMiner• Collaborated, managed and fulfilled all project deliverables to the practicum team and Siemens PLM• Presented all results to Siemens and Wayne State director teams and provided detailed team report

Worked with multiple small businesses in the Detroit area to promote their business through a 1-minute promotional video shot on a drone.Flew DJI Mavic drone to gather content, edited footage using Final Cut Pro.Attended networking events to promote services and discuss drone technology.

• Created over 200 DAIMLER, GM, Chrysler CAD drawings using NX 11 & 9 for engineers to review and send to manufacturing plants• Designed over 35 Canal and Tube Drawings for DAIMLER using NX 11, imported CAD data from DAIMLER SWAN web portal into Hutchinson database• Used CATIA to create component sleeve drawings for Ford tubes • Ensured drawings met requirements for Design of Manufacturing• Worked independently with minimal direction and provided engineers with technical direction, while never missing deadline dates• Exchanged CAD data with engineers in Mexico to create component drawings along with drawing updates to speed up manufacturing