About me

Hello! I'm Priyal Padheriya, and I'm on an exciting journey to dive into the word of data analysis and product management; driven by my passion for data, technology, and innovation. As Data and product enthusiast, I bring a unique blend of technical expertise and a deep understanding of data-driven decision-making.

I'm currently working as a Data Analyst II at Discount Tire/America’s Tire, where I lead initiatives to streamline data extraction, manage storage, and design interactive dashboards that deliver meaningful insights for various teams and stakeholders. My experience extends to co-leading the merger and acquisition team, where I evaluate business opportunities and facilitate seamless integration processes. I graduated with a Master of Science in Computer Science, specializing in data, from Arizona State University, with a strong foundation in technology. Along with this, I have also completed the AZNext Early Career Leadership Program (Mini MBA) offered by W.P. Carey School of Business, ASU. I also hold a Bachelor of Technology in Information Technology with a minor in Finance from Nirma University in India. Coming from a world of technology and management, I believe I can help bridge the gap between the technical and the management world.

In my previous roles, I've worn many hats. I've explored the world of data as a Data and Product Analyst, honing my skills in turning data into actionable insights. I've delved into cutting-edge technology as a Data Science Researcher, always pushing the boundaries of what's possible. As a Software Developer, I have realized the importance of data protection in our digital age. My journey has also led me to the role of an Associate Product Manager Intern, where I've discovered my talent for client negotiations, crafting creative solutions, and prioritizing user-centric features. As a Teaching Assistant, I'm passionate about education and strive to make complex concepts understandable for students, a skill that will undoubtedly come in handy as a future Product Manager.

Throughout my journey, I've embarked on exciting projects, from publishing a book chapter based on predicting depressive symptoms using Machine Learning to visualizing resilient deep learning models. I've also contributed to agriculture with the help of my project on Plant Disease Identification and Prediction model.

I hold certifications in Communication Skills from Trinity College London, Advanced Google Analytics by Google Analytics, and am certified by Google in IT Support Professional certificate and Financial Markets by Yale University.

My mission as an aspiring Data Analyst and Product Manager? To transform data into insights and insights into innovative, user-focused products. If you're ready to join me on this data-driven journey, let's connect and explore new possibilities together.

You can have a look at my resume here: Priyal Padheriya Resume

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Daniel lewis

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Education

Education

  1. Master of Science in Computer Science (Specialization in Data)

    Arizona State University - Tempe, USA
    January 2022 - December 2023

    GPA: 4.0/4.0

    Relevant Coursework: Data Visualization; Data Processing at Scale; Data Mining; Data Science for System Decision Analytics; Database Management System Implementation; Statistical Machine Learning, Knowledge Representation; Data-Intensive Systems for Machine Learning; Software Verification, Validation and Testing

  2. AZNext - Early Career Leadership Program (Mini MBA Certification)

    W. P. Carey School of Business - Tempe, USA
    January 2023 — May 2023

    Relevant Coursework: Strategic Decision Making; Product and Portfolio Management; Innovation and New Product Development; Strategic Sourcing; Coordination and Risk Management; Marketing Management; The Art of Sales; Orders and Receivable Management; Analytics, Data and Emerging Tech; Sustainability

  3. Bachelor of Technology in Information Technology with Minors in Finance

    Nirma University - Gujarat, India
    August 2017 - June 2021

    GPA: 8.2/10

Experience

Professional Experience

  1. Business Data Analyst II

    Discount Tire/America’s Tire
    February 2024 - Present

    • Utilizing Alteryx for ETL purposes, including data extraction, transformation, and integration from various sources - CSVs and VAST APIs, handling historical data spanning 5 years, and incorporating complex SQL queries for data manipulation and analysis.

    • Developing and maintaining automated data extraction pipelines using Alteryx Server, currently managing data from 45 stores, resulting in processing over 5 million records daily.

    • Managing data storage on Redshift, ensuring data organization into the required format for analysis, while implementing validation and error handling procedures using Python and AWS Glue, reducing manual testing efforts by 30%.

    • Co-leading the merger and acquisition team, evaluating the prioritization and profitability of acquiring businesses and facilitating the integration process by setting up acquired stores with the company's software and providing training to 500+ employees.

    •Designing and creating dashboards and reports using Tableau to provide meaningful insights into finance, operations, and sales, resulting in a 20% increase in evaluation accuracy for business leaders and achieving $65,000+ profit per store per day.

    •Crafting over 20 dashboards categorized into 4 main categories, enhancing data visualization and decision-making capabilities.

  2. Data and Product Analyst Intern

    Discount Tire/America's Tire
    June 2023 — December 2023

    • Designed a strategic business requirement plan and roadmap to forecast M&A success and define scope, timelines, and criticality.

    • Performed statistical analysis on structured SQL data, leveraging ETL, Amazon Redshift and DBeaver, to enhance customer grouping accuracy by 18% and boost customer retention rate by 25% through strategic clustering and segmentation models.

    • Implemented tailored customer-centric & data-driven solutions through PowerBI, lowering the customer churn rate by 10%.

  3. Data Analyst & Researcher

    The Luminosity Lab, Arizona State University
    June 2022 - August 2023

    • Researched,designed,anddevelopedaninnovativecross-platformwebinterfaceforasimulator,utilizingReactandThree.js to elevate application responsiveness by 75% and user engagement by 28%.

    • Utilized R & SAS to forecast future data with 88% accuracy, leveraging 30 years of generational data for strategic insights.

    • Executed project shifting to Docker using Python & MongoDB, slashing app crash timing by 88% & generating $2.11M profit.

    • Extracted valuable product insights through customer feedback, resulting in a 20% improvement in informed business decisions, further influencing product development strategy & enabling prioritization of new feature additions & updates.

  4. Business Data Analyst

    PlayPower Labs
    June 2021 - October 2021

    • Built a decision tree-based model to predict inventory demand & sales, reducing holding cost by 60% & generating $3.27M profit.

    • Leveraged Google Analytics to analyze multi-dimensional dataset & provided quantitative insights for understanding consumer behavior and product optimization by intra-organization collaboration.

  5. Associate Product Manager Intern

    Ajmera Infotech Pvt. Ltd.
    January 2021 - April 2021

    • Led a 12-member cross-functional team for designing product vision & evaluating tradeoffs by conducting market research.

    • Fostered client negotiations & re-evaluated MVP, resulting in 13% scope crunch to mitigate potential loss of $2.3M.

    • Articulated technical & business acumen to boost product’s ability by crafting user stories & leveraging data visualization for commercialization strategies, resulting in 60K customer acquisition in first 4 months of product launch.

  6. Teaching Assistant: IT682 Business Analysis and Optimization

    Nirma University
    January 2019 — April 2020

    • Conducted study sessions & one-on-one tutoring for 125 students, leading to a 20% average increase in students’ result.

Contact

Lets get in touch