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Siva Prakash

Senior Data Analyst @ Earnifi | Data Engineering | Risk & Analytics | FinTech | Ex–TVS Credit

Bengaluru

3+ years of work experience

Earnifi
Oct 20251 yrPresent

Bengaluru

TVS Credit Services Ltd.
Apr 20254 mosJul 2025

Chennai

Joined 12 Sep 2022 as Assistant Manager; promoted to Deputy Manager (2025). Oracle SQL tables/views for analytics consumption; Tableau for CEO, business heads, and Finance — including the MPCP dashboard covering critical company KPIs. Statewide geo analysis for sales and collections; P&L performance analytics; Tableau Server scheduling; threshold-based email alerts (provisions, cost-to-book, reconciliation). Led end-to-end analytics for the Gold Loan product, defining business metrics and reporting as operations expanded from a single branch to multiple branches across Tamil Nadu. Finance agent incentive scorecard (Tableau Prep / workflow automation): multi-system monthly reconciliation ~2–3 days → ~45 minutes (~5 min load). HR workflow automation; Python analysis and ML models for collections accuracy; Power BI Data Analyst Associate (Sep 2025).
TVS Credit Services Ltd.
Sep 20222 yrs 7 mosMar 2025

Chennai, Tamil Nadu, India

Siva’s AI Stack

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Education

Great Lakes Institute of Management

PG-DSE, Data science engineering

Great Lakes Institute of Management

20211 yr2022

Bachelor of Engineering - BE, Electronics and Communications Engineering

Sethu Institute of Technology

20154 yrs2019

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Headline

Senior Data Analyst @ Earnifi | Data Engineering | Risk & Analytics | FinTech | Ex–TVS Credit

About

I am a Senior Data Analyst at Earnifi, with 4 years of experience across FinTech, Data Analytics, Risk Analytics, Business Intelligence, and Data Platform development. At Earnifi, I have had the opportunity to work in an early-stage FinTech environment and contribute to the 0→1 development of a data platform, transforming raw business data into structured and reliable data solutions for analytics and decision-making. My work spans data transformation, modeling, data quality, reporting, automation, and analytics across Product, Risk, Finance, Operations, Fraud, Underwriting, Payments, Collections, and Customer Analytics. Technically, I work with SQL, Python, Databricks, Airflow, Retool, Tableau, Tableau Prep, and Power BI. I enjoy using these technologies not only to build dashboards and reports, but also to solve data problems, automate repetitive processes, improve data reliability, and create scalable analytical solutions. Before Earnifi, I worked at TVS Credit Services Ltd, where I progressed from Assistant Manager to Deputy Manager – BI & Analytics. I worked across lending, finance, credit, collections, and business operations, developing BI solutions and analytics using SQL, Tableau, Tableau Prep, Power BI, and Python. I also led analytics initiatives for the Gold Loanbusiness and worked on reporting and process-automation initiatives. What motivates me most is taking a complex business problem and turning it into a clear, reliable, and scalable data solution. I enjoy working at the intersection of data, technology, and business, continuously learning new technologies and finding better ways to help organizations make data-driven decisions. Areas of expertise: Data Analytics | Analytics Engineering | Data Platforms | FinTech | Risk Analytics | Product Analytics | Business Intelligence | Data Quality | Automation | SQL | Python | Databricks | Tableau | Power BI

Location

Bengaluru

AI stack

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Work experience

Senior Data Analyst - Risk & Analytics at Earnifi, Oct 2025 - Present · 1 yr, Bengaluru

Deputy Manager - Business Intelligence at TVS Credit Services Ltd., Apr 2025 - Jul 2025 · 4 mos, Chennai, Joined 12 Sep 2022 as Assistant Manager; promoted to Deputy Manager (2025). Oracle SQL tables/views for analytics consumption; Tableau for CEO, business heads, and Finance — including the MPCP dashboard covering critical company KPIs. Statewide geo analysis for sales and collections; P&L performance analytics; Tableau Server scheduling; threshold-based email alerts (provisions, cost-to-book, reconciliation). Led end-to-end analytics for the Gold Loan product, defining business metrics and reporting as operations expanded from a single branch to multiple branches across Tamil Nadu. Finance agent incentive scorecard (Tableau Prep / workflow automation): multi-system monthly reconciliation ~2–3 days → ~45 minutes (~5 min load). HR workflow automation; Python analysis and ML models for collections accuracy; Power BI Data Analyst Associate (Sep 2025).

Assistant Manager - Business Intelligence at TVS Credit Services Ltd., Sep 2022 - Mar 2025 · 2 yrs 7 mos, Chennai, Tamil Nadu, India

Education

PG-DSE, Data science engineering, Great Lakes Institute of Management

Bachelor of Engineering - BE, Electronics and Communications Engineering, Sethu Institute of Technology