---
title: "Suraj Tiwari - Business Analyst / Analytics Engineer in Bengaluru | Tal"
description: "Meet Suraj Tiwari, Analytics Engineer | Python • SQL • Data Pipelines | AI-Powered Analytics & LLM Chatbots | Self-Serve BI & Automation | Product Analyst | Business Analyst based in Bengaluru. AI stack includes claude code, codex, and gemini."
image: "https://tal.club/meet/suraj-tiwari/share-image"
---

# Suraj Tiwari on Tal

## Headline

Analytics Engineer \| Python • SQL • Data Pipelines \| AI\-Powered Analytics &amp; LLM Chatbots \| Self\-Serve BI &amp; Automation \| Product Analyst \| Business Analyst

## About

I build analytics systems that turn messy operational data into decision\-ready intelligence\. Over the last 6\+ years, I’ve worked at the intersection of analytics engineering, automation, and applied AI, designing data pipelines, self\-serve BI platforms, and internal analytics tools that allow teams to move from reactive reporting to real\-time insights\. My work typically involves building the full analytics stack: • Python \+ SQL data pipelines integrating CRM, ERP, and operational systems • Analytics warehouses and BI layers for self\-serve reporting • Internal tools and automation that eliminate manual workflows • AI\-assisted analytics systems that allow natural\-language data querying A few examples of impact: • Built Python \+ Streamlit analytics apps that reduced multi\-day manual AWS billing analysis to minutes • Designed BI systems used by leadership to monitor KPIs across sales, operations, and finance • Automated CRM → approval → SAP workflows eliminating manual operations work • Built ML models for forecasting and anomaly detection in business operations I enjoy working on ambiguous problems where business, data, and engineering intersect — building systems that replace Excel firefighting with scalable analytics infrastructure\. Currently I’ve been building AI\-powered analytics assistants that allow business users to query operational data using natural language\. These systems combine LLM APIs, metadata repositories, and text\-to\-SQL workflows to generate accurate queries against analytics databases and return decision\-ready insights\. Core stack: Python • SQL • PostgreSQL • ETL Pipelines • BI \(Power BI / Zoho / Metabase\) • Machine Learning • APIs • Automation

## Location

Bengaluru

## AI stack

claude code

codex

gemini

hugging face

mcp

GroqCloud

## Work experience

Business Analyst / Analytics Engineer at Frontier Business systems Pvt\. ltd\., Feb 2025 \- Present · 1 yr 7 mos, Bengaluru, • Built a cloud\-native GCP data pipeline extracting SAP B1 and CRM data across 50 tables using Apache Airflow and implemented timestamp watermark and MD5 hash\-based change detection for incremental loads, landing raw data in GCS as Parquet before ingesting into BigQuery\. • Modeled data in BigQuery using dbt — 56 staging models, 9 SCD Type 2 snapshots for historical dimension tracking, and mart tables partitioned by date and clustered by SBU, block, and KAM, reducing Power BI query scan cost\. • Deployed GitHub Actions CI/CD pipeline with 3 workflows — automated DAG validation, dbt testing against isolated dev and QC BigQuery environments on every PR, and automated production deployment on merge to master\. • Built a RAG\-based metadata system storing column definitions, business rules, and query examples to improve text\-to\-SQL accuracy for the internal analytics chatbot\. • Automated the end\-to\-end order\-to\-SAP workflow by integrating CRM data into a custom approval system, eliminating manual entry, cutting delays, and freeing operations staff for higher\-value work\. • Designed real\-time Zoho Analytics dashboards connected directly to SAP, replacing static Excel MIS and enabling executives to monitor KPIs live\. • Applied machine learning models \(Decision Trees, Random Forest, XGBoost\) to sales and operations data, delivering predictive insights that supported proactive decision\-making\. • Built internal AI\-assisted development workflows using LLM copilots \(ChatGPT, Claude, Gemini\) to accelerate internal tool development and code optimization\. • Built a Python \+ Streamlit analytics application to process AWS billing datasets, automating multi\-day manual analysis and enabling self\-serve cost analytics\. • Collaborated closely with sales and finance leadership to ensure dashboards and predictive models addressed strategic business priorities

Business Analyst at Bharti AXA Life Insurance, Jul 2024 \- Jan 2025 · 7 mos, Mumbai, Maharashtra, India, • Delivered CEO performance decks, consolidating data from multiple systems into executive\-ready insights that influenced board\-level discussions\. • Built interactive dashboards in Power BI and SQL, giving real\-time visibility into policy performance, customer behavior, and claims operations\. • Automated recurring MIS reports with Python scripts, reducing turnaround time by 40% and improving reliability of reporting\. • Developed predictive analytics POCs \(classification &amp; regression models\) to forecast sales and customer churn, showcasing the potential of machine learning in insurance decision\-making\. • Ensured data quality and governance by implementing validation checks and cleansing routines, enhancing trust in analytics outputs\. • Partnered with leadership and cross\-functional teams \(sales, operations, finance\) to translate business needs into data\-driven recommendations

Data Analyst at Kenko Health, Jul 2022 \- Jun 2024 · 2 yrs, Bengaluru, Karnataka, India, • Automated high\-volume insurance operations with Python \(Postgres \+ Excel\), cutting endorsement processing from days to same\-day and delivering faster customer onboarding &amp; policy servicing\. • Built real\-time CRM and Sales dashboards on Hubspot, Metabase, and Apache Superset, enabling leadership to spot drop\-off stages and drive higher conversions\. • Designed reconciliation workflows across insurance MIS, Hubspot CRM, and Digit Insurance partner logs, ensuring accurate claims tracking and enabling successful financial recovery\. • Automated member ID mapping by integrating Kenko’s system files with Digit\-issued IDs via Python, eliminating manual effort and improving data accuracy in policy management\. • Supervised and developed a 3\-member analyst team, guiding them on automation and dashboard\.

Management Information System Executive at HEALTH PRIME SERVICES \(INDIA\) PRIVATE LIMITED, Dec 2015 \- Aug 2017 · 1 yr 9 mos, Mumbai, Maharashtra, India, • Prepared client\-specific MIS reports, ensuring accurate tracking of operational and financial performance\. • Developed VBA macros to automate recurring reporting tasks, reducing preparation time from 4 days to 3 days\. • Improved data consistency and report reliability by standardizing reporting processes across teams\. • Coordinated with cross functional teams to gather data from various sources\.

## Education

Bachelor of Management Studies, Prahladrai Dalmia Lions College of Commerce and Economics Sundar Nagar S V Road Malad West Mumbai 400 064

[View the original profile](https://tal.club/meet/suraj-tiwari)

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