Suryansh Patel

Product Manager

Bengaluru, Karnataka, India11 mos experience

Key Highlights

Strong foundation in Mechanical Engineering and Systems Engineering.
Proficient in data-driven decision-making and product analysis.
Demonstrated leadership in strategic planning and team collaboration.

Stackforce AI infers this person is a data-driven product management intern with a focus on Fintech and user-centered design.

Contact

Skills

Other Skills

Business StrategyC++CommunicationCommunity OutreachEvent ManagementFinanceGrowth StrategiesProduct DesignProduct DevelopmentProduct ManagementStrategyTeam LeadershipTeam Management

About

I am Suryansh Patel, a final year student at IIT Kharagpur specializing in Industrial and Systems Engineering, with a strong focus on product analysis and data-driven decision-making. My background in Mechanical Engineering equips me with a solid foundation for understanding complex systems, while my hands-on experience in product development, market analysis, and user-centered design has honed my ability to derive actionable insights from data. Having taken on multiple leadership roles, I bring skills in strategic planning, team collaboration, and agile problem-solving—all essential for a career. I’m passionate about leveraging data to enhance user experiences and optimize product performance, and I look forward to connecting with professionals in this space.

Experience

Acko

Product Management Intern

Jun 2025 – Present · 9 mos · Bengaluru, Karnataka, India · On-site

Rajendra prasad hall of residence

2 roles

Second Senate Member

Aug 2024 – Jul 2025 · 11 mos · On-site

General Secretary - Students' Welfare

Aug 2023 – Aug 2024 · 1 yr · On-site

Pitchright ventures

Investment Research Intern

May 2024 – Jul 2024 · 2 mos

Assisted in the evaluation of five potential portfolio companies, streamlining deal-flow processes and improving efficiency.
Conducted in-depth research on three investment cases, providing valuable insights that supported data-driven decision-making.
Gained proficiency in assessing early-stage business viability, contributing to more accurate and effective deal selection.

Nottingham trent university

Research Intern

May 2023 – Jul 2023 · 2 mos

Developed a high-accuracy regression model that increased loan approval rates by 12%, achieving an R-squared value of 0.83.
Analyzed assets, liabilities, and cash flows of over 10 financial performance indicators (FPIs) impacting small business loan approvals, using data spanning five years.
Conducted a comprehensive survey on loan approval rates across 150+ U.S. listed banks, applying advanced statistical analysis to derive actionable insights.
Authored two detailed reports addressing challenges faced by MSMEs in securing loans, paired with strategic recommendations to improve approval processes.