Aashiv Shah

About Aashiv Shah

As a results-oriented Business Analyst and Researcher, I leverage my expertise in advanced analytics, machine learning, and data visualization to deliver actionable insights and innovative solutions. With a Master’s degree in Business Analytics from The George Washington University and certifications from Google and Duke University, I combine technical proficiency with a strategic mindset to address complex business challenges. Key Expertise: Data Analytics: Proficient in Python, R Studio, and SQL, with hands-on experience in predictive modeling and statistical analysis. Machine Learning: Skilled in building models (Decision Tree, SVM, K-NN) to solve real-world challenges, such as customer retention and stock forecasting. Visualization: Adept in Tableau, Power BI, and Google Data Studio for crafting intuitive dashboards and storytelling with data. Professional Achievements: Developed a fairness evaluation framework for Large Language Models (LLMs) to tackle biases in financial services, enhancing equitable marketing strategies. Implemented a referral program with 75% accuracy in customer behavior prediction, boosting customer acquisition for AllPeople Marketplace. Published research on Cloud Computing in Education and Adaptive Data Protection Mechanisms in AI-Driven Decision-Making, bridging technical innovation with real-world impact. Beyond the numbers, I’m driven by a passion for uncovering insights that empower decision-making and drive organizational growth. My collaborative leadership roles, coupled with my multilingual abilities, allow me to thrive in diverse, fast-paced environments. Let’s connect to discuss how I can add value to your organization through data-driven strategies and innovative solutions.

Experience

1. Business Analyst Intern

   AllPeople Marketplace

   Jun 2024 — Present · US

   Conducted market research by doing a Google survey with respondents, identifying that 75% were interested in a referral program, leading to the development of targeted marketing strategies. • Implemented a referral program by analyzing industry KPIs, resulting in increased customer acquisition by leveraging minimal discounts and word-of-mouth marketing. • Assisted the manager in finalizing 5-10 survey models, targeting key business challenges, leading to an increase in actionable insights for strategic decision making. • Developed 2 machine learning models (Decision Tree and SVM) using python, achieving a 75% accuracy with the decision tree model to predict key factors influencing customer referrals.

Education

• University of Mumbai

  Bachelor of Science - BS, Information Technology

• The George Washington University School of Business

  Master's degree, Business Analytics

• IBS Mumbai

  PGPM, Marketing