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Product Manager with 1+ years in IoT telemetry, AI, and EV infrastructure scaling.
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Assessing your cultural and operational fit
Data-driven Product Analyst and Electrical Engineer specializing in hardware-software integration, IoT telemetry, and EV infrastructure scaling. Proven track record of leveraging data to resolve edge cases, optimize Session Success Rates (SSR), and bridge physical hardware with intuitive digital platforms. Expert in translating complex user friction into scalable MVPs and technical product roadmaps to drive user retention and operational reliability.
National Institute of Technology, Goa
B.Tech. · Electrical and Electronics Engineering (EEE)
N/A – June 30, 2026
Aspire Institute
Aspire Leaders Program Fellow · Global Leadership & Strategy
N/A – June 30, 2026
McKinsey & Company
Forward Program
N/A – June 30, 2025
Generative AI Mastermind
Practical AI/ML Applications for Strategic Insights
N/A – June 30, 2025
Athena Infonomics
Product Intern
January 1, 2026 – Present
India
Athena Infonomics
Governance & Service Delivery Intern
September 1, 2025 – January 1, 2026
India
Saafwater
Hardware Product R&D Intern & B.Tech Major Project
August 1, 2024 – April 1, 2025
Panaji, Goa, India
Product Feasibility: EV Adoption for Commercial Fleets
May 1, 2025 – August 1, 2025
Built a comprehensive Total Cost of Ownership (TCO) model analysing capex/opex and grid infrastructure, proving a 25% cost savings for commercial EV fleets. Examined energy consumption patterns, grid readiness, and charging network gaps, translating findings into actionable insights. Produced analytical briefs and recommendations informing government decision-making and investment planning.
Hyperspectral Crop Yield & Disease Detection Model
January 1, 2025 – April 1, 2025
Trained ML models on 500+ infrared and hyperspectral images, achieving 85%+ accuracy in crop yield prediction. Integrated hyperspectral imaging techniques for early plant disease detection with a target accuracy above 90%. Conducted exploratory data analysis, spectral feature extraction, and imaging-to-ML mapping for agricultural insights.
10/10 B.Tech Project
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project experience, ranging from EV adoption to agricultural ML and industrial IoT, showcases adaptability and a broad interest in various technological applications. Their involvement in leadership roles and programs like Aspire Leaders and McKinsey Forward indicates a proactive approach to personal and professional development, aligning with a growth-oriented culture. The focus on solving real-world problems (e.g., commercial EV fleets, crop disease detection, water monitoring) suggests a mission-driven mindset.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership and impact through their involvement in student organizations, indicating initiative, team management, and strategic planning abilities. Their experience in stakeholder interviews and cross-college partnerships suggests good interpersonal and negotiation skills. The ability to optimize procurement and manage project lifecycles points to strong operational acumen and resourcefulness.