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Priyanshu Anand

Product / Program Management @ Product Space | Python, SQL, APIs, Dashboards & AI Tools | Prompt Engineering | Workflow Optimization | Agile & KPI Tracking | 500+ DSA @ LeetCode | Open to PM, SDE, Analyst Roles

Bengaluru

< 1 year of work experience

Product Space
Sep 20263 mosPresent

Bangalore Urban, Karnataka, India

Requin Solutions Private Limited
May 20254 mosAug 2025

Jaipur, Rajasthan, India

• Directed 3 enterprise projects across 6 Agile sprints for a 6-member team, delivering 90% of milestones on scope, schedule, and quality. • Built KPI and productivity dashboards tracking reporting funnels, activation, and retention metrics, cutting manual reporting effort by 25–30%. • Designed RACI matrices and capacity models that reduced bottlenecks by 15% and improved overall throughput. • Owned workflow tracking, milestone monitoring, and cross-workstream coordination, giving stakeholders clearer operational visibility. • Streamlined process documentation and stakeholder communication, making execution planning faster and more consistent across teams.
GAIL (India) Limited
Jan 20252 mosFeb 2025

Madhya Pradesh, India

• Built a time-series anomaly detection model on SCADA sensor data to flag pressure and flow irregularities in gas pipelines. • Processed 18 months of sensor readings, handling missing intervals with interpolation and rolling-window feature extraction. • Trained an Isolation Forest model that reached 91% detection accuracy with a false-positive rate under 6%. • Integrated model outputs into an automated alert system, reducing anomaly identification time from 4 hours to 22 minutes.

Priyanshu’s AI Stack

anthropic apis
anthropic apis
antigravity
antigravity
claude code
claude code
claude
claude
cursor
cursor
gemini
gemini

Education

Jaypee University of Engineering and Technology

Computer Science

Jaypee University of Engineering and Technology

20224 yrs2026

Class X

Mount Carmel

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Headline

Product / Program Management @ Product Space | Python, SQL, APIs, Dashboards & AI Tools | Prompt Engineering | Workflow Optimization | Agile & KPI Tracking | 500+ DSA @ LeetCode | Open to PM, SDE, Analyst Roles

About

Product Management Intern at Product Space. I focus on turning operational problems into working systems that teams actually use. At Requin Solutions I led three enterprise projects across six Agile sprints and delivered 90% of milestones on scope, schedule, and quality. I built KPI dashboards and interactive Gantt charts that cut reporting time by 30%, and used RACI matrices plus capacity models to reduce bottlenecks by 15%. Earlier, as an App Developer Intern at Film Terrain, I turned product requirements into clear backlog items for a small team, added event tracking across eight core screens, and ran usability tests with 15–20 users that reduced friction in high-traffic flows by 18%.I also supported two Android/iOS releases through feature-flag checks and rollout coordination. Skills I work with regularly: Python, SQL, APIs, Flutter, Firebase, Machine Learning (Scikit-learn, TensorFlow), Dashboards, Prompt Engineering, Agile/Scrum, KPI Tracking, Git/GitHub, Jira, Figma. I have also solved 600+ LeetCode problems. Looking for full-time opportunities in Product Management, AI Automation, Software Engineering, or Operations roles. Email: priyanshuanand9390@gmail.com

Location

Bengaluru

AI stack

anthropic apis

antigravity

claude code

claude

cursor

gemini

Work experience

Product Management | Agile, KPI Dashboards & Workflow Optimization at Product Space, Sep 2026 - Present · 3 mos, Bangalore Urban, Karnataka, India

Project Management Intern | Agile, KPI Dashboards, RACI & Capacity Planning at Requin Solutions Private Limited, May 2025 - Aug 2025 · 4 mos, Jaipur, Rajasthan, India, • Directed 3 enterprise projects across 6 Agile sprints for a 6-member team, delivering 90% of milestones on scope, schedule, and quality. • Built KPI and productivity dashboards tracking reporting funnels, activation, and retention metrics, cutting manual reporting effort by 25–30%. • Designed RACI matrices and capacity models that reduced bottlenecks by 15% and improved overall throughput. • Owned workflow tracking, milestone monitoring, and cross-workstream coordination, giving stakeholders clearer operational visibility. • Streamlined process documentation and stakeholder communication, making execution planning faster and more consistent across teams.

Machine Learning Intern | Python, Anomaly Detection & SCADA Analytics at GAIL (India) Limited, Jan 2025 - Feb 2025 · 2 mos, Madhya Pradesh, India, • Built a time-series anomaly detection model on SCADA sensor data to flag pressure and flow irregularities in gas pipelines. • Processed 18 months of sensor readings, handling missing intervals with interpolation and rolling-window feature extraction. • Trained an Isolation Forest model that reached 91% detection accuracy with a false-positive rate under 6%. • Integrated model outputs into an automated alert system, reducing anomaly identification time from 4 hours to 22 minutes.

Education

Computer Science, Jaypee University of Engineering and Technology

Class X, Mount Carmel

Public links

leetcode: https://leetcode.com/_PriyanshuAnand_