I’m Sean Riley, Co-Founder and Chief Executive DUDE at DUDE Wipes 🔥🧻 

We launched with $30k and a dream out of our shitty apartment and scaled into a national movement one wipe, one crazy idea, and one bold bet at a time.

Fast forward: DUDE Wipes became a national brand, snagged a deal with Mark Cuban on Shark Tank, and now wipes billions of butts a year across Walmart, Target, Kroger, Amazon — pretty much everywhere 🌎

But this was never just about selling wipes.
It’s about building a life of freedom ✈️, creativity 🎨, and fun ⚡️ and proving that what seems impossible is usually just what nobody’s dared to do yet 

I believe success isn’t about playing it safe or chasing approval. It’s about betting on yourself, trusting your instincts, and creating your own reality brick by brick 🧱

Along the way, I’ve learned:

• Originality wins 
• Playing it small is the real risk 
• Energy and authenticity beat polish every time 

Today, whether it’s building brands, writing about entrepreneurship, or inspiring the next wave of creators, my mission is simple:
Lead by example. Have a blast doing it. Remind people they’re capable of way more than they think 🏆

Party on, DUDES 🤙


Sean Riley

Some bittersweet news as January is the last month at DUDE for our Amazon god Joey Thomas  

Joey is moving onto be a co-founder & CEO of a new brand launching later this year!

We couldn't more proud to see him take this exciting and courageous step in his life

Over the past 4 years Joey has exemplified what it means to be a DUDE. 

Hard working, humble, kind and always willing to learn what it takes to get to the next level.

Please join me in congratulating Joey on moving to the dark side to become an entrepreneur!!

Chief DUDE. Started from the bottom. 💩

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Catalina USA

Business Intelligence Analyst I

BMW of North America, LLC

● Collaborated with 3 product engineers to deploy advanced Tableau Remote software update tracking dashboard on BMW server while automating 10 million-plus rows of data with context filters, parameters, and calculated fields that also allowed to track 4 KPI’S like prognosis, success, fatal error & failure rate & line charts which resulted in 30% reduction of a fatal error.
● Executed & developed complex 100+ lines of SQL queries for 40 billons+ rows of data from 10 different tables to prepare the Warranty dataset from AWS Athena engine & made 4 tableau reports out of it while doing quarter to quarter comparison to see the trends of numbers of parts getting changed.
● Analyzed 3+ tables on impact by writing 150+line SQL queries to prepare the final dataset to see why there are repeat repair orders & further working to find patterns in that data while collaborating with 2 powertrain engineers.
● Developed multiple python scripts for excel automation of files for senior product engineers which reduced manual  7 hours of work.
● Manually single-handedly performed one of the major software updates for the March month on 6+ BMW cars & did vehicle programming verification.

Skills: Impact(Palantir), AWS-Athena Engine, Redshift, Slate, Advanced Tableau, SQL, Big Data, Python, Active Listening, Automation, Business Intelligence & Reporting Software, Clear Communication, Critical Thinking, Data Mining, Data Visualization, Microsoft Excel, Statistical Analysis, Time Management, Collaboration

Technical Services Intern

Williams Autonetics

● First to initiate technical breakthrough in the company generated more than 100+ analytical reports through data manipulation for large structured, unstructured & real-time data sets of drugs data of various pharmacies.
●Implemented automated reports and data ingestion processes for 5 main finance reports using SQL, Excel, and Python tools that saved 15 hours per week for the team
● Developed 5 Tableau dashboards, providing important KPIs that allowed pharmacies to focus on regions, top selling drugs, usage quantity & stock quantity, resulted in an increase in revenue by 5%.
● Designed architecture & developed reliable software in Tkinter which facilitated clients to reduce manual reporting & manual operations like CREATE,READ,UPDATE,DELETE by 90%. Made satisfactory deployment of software in their system through integration of systems and daily interaction through Zoom meetings.

Data Analyst Intern

Binghamton University School of Management

• Developed and Spearheaded labs designed to teach 300+ students how to improve their skills on manipulating, analyzing, visualizing, and interpreting data through Python and Tableau
•  Evaluated and provide constructive feedback on students’ homework, labs, and tests to enhance student understanding

Teaching Assistant

𝗛𝗲𝗹𝗹𝗼 𝗸𝗶𝗻𝗱 𝗳𝗼𝗹𝗸𝘀❗ 𝗜 𝗮𝗺 𝘆𝗼𝘂𝗿 𝗳𝗿𝗶𝗲𝗻𝗱𝗹𝘆 𝗻𝗲𝗶𝗴𝗵𝗯𝗼𝗿𝗵𝗼𝗼𝗱 𝗮𝗻𝗮𝗹𝘆𝘀𝘁. 𝗪𝗵𝗲𝗻 𝘁𝗵𝗶𝗻𝗴𝘀 𝗴𝗲𝘁 𝗺𝗲𝘀𝘀𝘆, 𝗜 𝘀𝗲𝗲 𝘁𝗵𝗲 𝗽𝗼𝘁𝗲𝗻𝘁𝗶𝗮𝗹 𝗳𝗼𝗿 𝗮𝗻 𝗼𝗿𝗱𝗲𝗿. 𝗘𝘃𝗲𝗿𝘆 𝗻𝗲𝘄 𝗱𝗮𝘁𝗮𝘀𝗲𝘁 𝗶𝘀 𝗮 𝗻𝗲𝘄 𝗼𝗽𝗽𝗼𝗿𝘁𝘂𝗻𝗶𝘁𝘆 𝗳𝗼𝗿 𝗺𝗲. 𝗜 𝗹𝗼𝘃𝗲 𝘁𝘂𝗿𝗻𝗶𝗻𝗴 𝗱𝗮𝘁𝗮 𝗶𝗻𝘁𝗼 𝗶𝗻𝘁𝗲𝗿𝗲𝘀𝘁𝗶𝗻𝗴 𝘀𝘁𝗼𝗿𝗶𝗲𝘀.
 “𝘕𝘰 𝘰𝘯𝘦 𝘦𝘷𝘦𝘳 𝘮𝘢𝘥𝘦 𝘢 𝘥𝘦𝘤𝘪𝘴𝘪𝘰𝘯 𝘣𝘦𝘤𝘢𝘶𝘴𝘦 𝘰𝘧 𝘢 𝘯𝘶𝘮𝘣𝘦𝘳. 𝘛𝘩𝘦𝘺 𝘯𝘦𝘦𝘥 𝘢 𝘴𝘵𝘰𝘳𝘺.” — 𝘋𝘢𝘯𝘪𝘦𝘭 𝘒𝘢𝘩𝘯𝘦𝘮𝘢𝘯. 𝘛𝘩𝘪𝘴 𝘲𝘶𝘰𝘵𝘦 𝘪𝘴 𝘳𝘦𝘱𝘳𝘦𝘴𝘦𝘯𝘵𝘢𝘵𝘪𝘷𝘦 𝘰𝘧 𝘸𝘩𝘢𝘵 𝘐 𝘵𝘩𝘪𝘯𝘬 𝘢𝘣𝘰𝘶𝘵 𝘥𝘢𝘵𝘢 𝘢𝘯𝘢𝘭𝘺𝘴𝘪𝘴.

About me:
❄ I am a recent graduate with a Master's degree in Computer Science from SUNY Binghamton (Track: Business Intelligence & Analytics). My interest in Data Science surged after analyzing dataset of employees at my dads business during my undergrad. I implemented all the algorithms from scratch using Python(pandas library) and was fascinated by how we can manipulate large data-sets and identify critical information to make data-driven decisions for the company's growth.

❄ During my time at the SUNY Binghamton, I served as a team leader of Reporting & Analytics team at company name Williams Autonetics and Graduate Teaching Assistant at School of Management by spearheading 300+ students. I have extensive experience with team building and client communications. I am currently working at Catalina USA as a Business Intelligence Analyst.

❄ I have sound communication skills and can act as a data translator by explaining complex algorithms clearly to a non-technical audience. 

Skills:
💎 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 Languages: Python, R, SQL
💎 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 MySQL, PostgreSQL, Oracle
💎 𝗟𝗶𝗯𝗿𝗮𝗿𝗶𝗲𝘀: Pandas, NumPy, TensorFlow, Keras, Scikit-learn, MLlib
💎 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁: Streamlit, Voila, Heroku, HTML, CSS, Bootstrap
💎 𝗖𝗹𝗼𝘂𝗱 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀: Amazon Web Services (AWS), Google Cloud Platform (GCP)
💎 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Tableau, Power BI, Matplotlib, Seaborn, Plotly, Bokeh
💎 𝐒𝐨𝐟𝐭𝐰𝐚𝐫𝐞’𝐬/𝐓𝐨𝐨𝐥𝐬: Git, Jupyter Python Notebooks, Spyder, PyCharm, RStudio, SQL Developer, MySQL Workbench , Streamlit PowerPoint, Keynote, Microsoft Office Suite, Django
💎𝗕𝗶𝗴 𝗗𝗮𝘁𝗮 𝗘𝗰𝗼𝘀𝘆𝘀𝘁𝗲𝗺𝘀:  Hive, Pyspark, SparkSQL 
💎𝗖𝗹𝗼𝘂𝗱 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀: Azure Data Factory, Azure Storage Solutions, Azure HDInsight & Databricks

Tableau Public Profile: https://public.tableau.com/profile/jainil.nilesh.parikh#!/

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