Shivanshu Prakash Mall profile photo 1 on Tal

Shivanshu Prakash Mall

Ex-Navi Business Analyst | Re-entering the Corporate World & Open to Data Analytics/Science Roles

Greater Bengaluru Area

3+ years of work experience

Career Break
Jul 20242 yrsJun 2026

During my UPSC preparation journey, I developed strong analytical thinking, discipline, and a genuine love for learning. The experience also helped me build several transferable skills relevant to data-driven roles: Strengthened my interest in continuous learning and problem-solving across diverse domains. Gained a deeper understanding of Ethics, Integrity, and Aptitude, and learned to apply them in both personal and professional settings. Studied Anthropology as an interdisciplinary subject, which sharpened my ability to connect scientific reasoning with human behavior and social systems. Built a solid conceptual foundation in Geography, Political Science, Economics, and History, which enhanced my ability to understand patterns, context, and interconnections. Developed structured thinking and clearer written communication through regular answer writing, improving how I organize ideas and present insights. Explored the use of AI tools during preparation, which improved my efficiency in research, learning, and synthesis of information.
Navi
May 20231 yr 3 mosJul 2024

Bengaluru

- Partnered with business, product, and technology teams to define reporting needs, clarify business questions, and convert ambiguous requirements into structured analytical workstreams. - Queried, cleaned, and analyzed large debt management datasets using SQL and Python to identify trends in delinquency, repayment behavior, roll rates, and collection efficiency across borrower segments. - Conducted A/B experiments for a GenAI-powered bot across prompt variants, message timing, and message frequency, using performance insights to improve response quality, engagement, and business outcomes. - Defined and standardized recurring business metrics (Collection Efficiency, Connectivity, Achievement), to create a single source of truth for recurring reporting and performance tracking. - Built and maintained automated data pipelines powering daily MIS reports, analytical tables, and dashboards, reducing manual effort and improving reporting reliability. - Conducted cohort analysis and segmentation on borrower repayment behavior to surface early delinquency signals and support proactive strategy decisions. - Performed root-cause analysis on underperforming portfolio segments to identify drivers of missed payments and early delinquency, enabling targeted business actions. - Built Tableau dashboards and recurring reports used by business and leadership teams to monitor portfolio health and collections performance. - Coordinated across cross-functional teams and documented analytical methodologies, pipeline logic, and KPI definitions to ensure data accuracy, consistency, and alignment on metric definitions and reporting logic. - Prepared clear, actionable presentations summarizing analytical findings for stakeholders and leadership reviews. - Worked independently on multiple analytics workstreams from requirement gathering to insight delivery in a fast- paced environment.

Shivanshu’s AI Stack

claude code
claude code
claude
claude
gemini
gemini
openai
openai
claudecode
claudecode

Education

Indian Institute of Technology, Delhi

Bachelor of Technology - BTech, Civil Engineering

Indian Institute of Technology, Delhi

20194 yrs2023
Academic Heights Public School (AHPS)

Class XII CBSE, Physics, Chemistry, Mathematics, English, Physical Education

Academic Heights Public School (AHPS)

20181 yr2019

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Shivanshu Prakash Mall on Tal

Headline

Ex-Navi Business Analyst | Re-entering the Corporate World & Open to Data Analytics/Science Roles

About

Data Analyst with experience in fintech, leveraging data, analytics, and AI to solve business problems and drive decision-making. At Navi, I worked across business, product, and technology teams, using SQL, Python, Tableau, experimentation, and dashboarding to deliver actionable insights and improve business outcomes. My UPSC preparation strengthened my analytical thinking, structured problem-solving, and ability to connect ideas across disciplines including Economics, Ethics, Geography, Political Science, Anthropology, and History. It also sharpened my writing, communication, and ability to simplify complex concepts. I'm passionate about continuous learning and actively explore AI, data science, and analytics to build smarter, data-driven solutions. I'm particularly interested in roles at the intersection of analytics, AI, experimentation, and business strategy. Fun Fact: I am always up for discussing history, be it of the World or The Seven Kingdoms

Location

Greater Bengaluru Area

AI stack

claude code

claude

gemini

openai

claudecode

Work experience

Personal goal pursuit at Career Break, Jul 2024 - Jun 2026 · 2 yrs, During my UPSC preparation journey, I developed strong analytical thinking, discipline, and a genuine love for learning. The experience also helped me build several transferable skills relevant to data-driven roles: Strengthened my interest in continuous learning and problem-solving across diverse domains. Gained a deeper understanding of Ethics, Integrity, and Aptitude, and learned to apply them in both personal and professional settings. Studied Anthropology as an interdisciplinary subject, which sharpened my ability to connect scientific reasoning with human behavior and social systems. Built a solid conceptual foundation in Geography, Political Science, Economics, and History, which enhanced my ability to understand patterns, context, and interconnections. Developed structured thinking and clearer written communication through regular answer writing, improving how I organize ideas and present insights. Explored the use of AI tools during preparation, which improved my efficiency in research, learning, and synthesis of information.

Business Analyst at Navi, May 2023 - Jul 2024 · 1 yr 3 mos, Bengaluru, - Partnered with business, product, and technology teams to define reporting needs, clarify business questions, and convert ambiguous requirements into structured analytical workstreams. - Queried, cleaned, and analyzed large debt management datasets using SQL and Python to identify trends in delinquency, repayment behavior, roll rates, and collection efficiency across borrower segments. - Conducted A/B experiments for a GenAI-powered bot across prompt variants, message timing, and message frequency, using performance insights to improve response quality, engagement, and business outcomes. - Defined and standardized recurring business metrics (Collection Efficiency, Connectivity, Achievement), to create a single source of truth for recurring reporting and performance tracking. - Built and maintained automated data pipelines powering daily MIS reports, analytical tables, and dashboards, reducing manual effort and improving reporting reliability. - Conducted cohort analysis and segmentation on borrower repayment behavior to surface early delinquency signals and support proactive strategy decisions. - Performed root-cause analysis on underperforming portfolio segments to identify drivers of missed payments and early delinquency, enabling targeted business actions. - Built Tableau dashboards and recurring reports used by business and leadership teams to monitor portfolio health and collections performance. - Coordinated across cross-functional teams and documented analytical methodologies, pipeline logic, and KPI definitions to ensure data accuracy, consistency, and alignment on metric definitions and reporting logic. - Prepared clear, actionable presentations summarizing analytical findings for stakeholders and leadership reviews. - Worked independently on multiple analytics workstreams from requirement gathering to insight delivery in a fast- paced environment.

Education

Bachelor of Technology - BTech, Civil Engineering, Indian Institute of Technology, Delhi

Class XII CBSE, Physics, Chemistry, Mathematics, English, Physical Education, Academic Heights Public School (AHPS)

Public links

github: https://github.com/OctavianXXIV

Shivanshu Prakash Mall - Personal goal pursuit in Greater Bengaluru Area | Tal