Prashil Vachhani
Engineering Management | Product & Technology Enthusiast
Engineering Management | Product & Technology Enthusiast
Aspiring Engineering Manager specializing in Product Management, with expertise in data-driven decision-making, software engineering, and business strategy.
University of Illinois Urbana-Champaign - Master of Science in Technology Management (Expected December 2025)
MPSTME, NMIMS University, Mumbai, India - Bachelor of Technology in Computer Science and Business Systems (2020 - 2024)
Enhanced Phone product market positioning by improving price prediction accuracy by 92% through machine learning and statistical analysis India. Collaborated with cross-functional teams to design real-time phone price prediction model using streamlit, Aligning with SaaS product roadmap. Partnered with Product managers to analyze market trends with Agile sprints, elevating decisions by 21%
Conducted property data analysis to optimize real estate valuations, Improving valuation accuracy by 11%. Delivered actionable insights to the strategy team, supporting data driven business decisions.
Increased revenue by 10% through market segmentation strategies and integrating smart assembly line. Led operational optimization using Six- Sigma analysis, reducing inventory cost by 7%
Created a real-time Chicago crime tracking dashboard with data insights and critical metrics Conducted root cause analysis on crime patterns using historical data, Reduced hotspots by 18%. Collaborated with stakeholders, providing actionable insights to enhance public safety. Analyzed demographic and geographic data to identify consumer behavior for safety recommendations
Collaborated with stakeholders to define product features for a trading app prototype integrating algorithmic predictions, improving user decision-making accuracy by 18% Delivered market insights through real – time trends and technical analysis tools Developed an intuitive onboarding experience to simplify adoption, reducing user drop-off rates by 15%
Developed a collaborative filtering recommendation engine that increased upsell conversion rates by 12% Integrated AI model to detect fake product review Tuned models to enhance product recommendation accuracy and user satisfaction
Feel free to connect with me!