Karan Gangwar
Associate Consultant
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Skills & Expertise (35)
Work Experience
Associate
Nation with Namo - Kalliope Consulting
Jul 2025 - Aug 2026
Advanced Data Analytics & Data Visualisation: Analyzed electoral and demographic datasets covering 1lakh+ electors across 6 assembly constituencies using SQL, Python, and Excel; identified behavioral patterns that drove segmentation, targeting, and data-driven campaign strategy. Designed a prioritization model for 1.5K+ booths, driving 15% lift conversion via experimentation & insight-led targeting. Automated data collection and reporting workflows by developing Python-based web scrapers across multiple government sources, reducing manual effort by 70%, enabling real-time dashboards for multi-team decision-making. Deployed KPI tracking frameworks measuring MP/MLA performance across 8 parameters over 12 months, improving targeted public outreach effectiveness by 20% and streamlining various ministry-level recommendation reporting. Stakeholder Management & Client Collaboration: Conducted 50+ consulting sessions and facilitated 60+ stakeholder interactions, translating analytical insights and user behaviour patterns into actionable growth and execution strategies, increasing the client’s victory margins by 18%. Collaborated with cross-functional teams across research, operations, and field execution to streamline workflows, improve reporting efficiency, and support rapid data-backed decision-making. Market Research & Strategic Analysis: Executed primary and secondary research, demographic profiling, and competitor analysis across 6 constituencies and 1,500+ booths to identify priority voter segments, shape outreach plans, and guide resource allocation effectively. Contributed to victories across 6 Bihar Assembly constituencies through data-backed planning, micro-targeting at the booth level, constituency-level performance reviews, and end-to-end campaign optimization.
Management Trainee Intern
TATA Steel
May 2024 - Jul 2024
Developed a sensor-driven predictive maintenance system for screens, successfully reducing unscheduled shutdown costs by ₹4 crore. Leveraged vibration analysis integrated with IoT sensors and various ML models to enable proactive early machine failure detection. Upgraded equipment reliability and minimized downtime by 10hr via real time quantitative data driven predictive monitoring.
Data Analyst Intern
Psyliq
Dec 2023 - Jan 2024
Queried and transformed diabetes datasets using SQL, analysed 5 key features to support advanced exploratory and statistical analysis. Analysed employee engagement data using Excel and Power BI, delivering actionable insights that improved workforce retention. Utilized various Python modules, including PyPDF3, BeautifulSoup, and Pandas, to automate data extraction from various files.
Education
B.Tech in Mechanical Engineering - Indian Institute of Technology, Roorkee
2021 - 2025 · Afghanistan
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Skills (35)
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