Sachin Jha — Data & AI Engineer

About Me

The Short Version

I'm a results-driven Data & AI Engineer with 5+ years of experience across global banking and financial services — including JPMorgan Chase, Citi, and Franklin Templeton.

I've built end-to-end ETL pipelines, multi-dashboard Tableau workbooks for Senior Leadership, and a multi-sector Financed Emissions Calculator covering PCAF methodology across Scope 1, 2 & 3. I've worked with data from D&B, S&P, Bloomberg, and CDP.

Now I'm engineering the next layer — RAG pipelines, LLM-powered tools, and FastAPI microservices that turn complex financial data into intelligent, production-ready systems.

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JPMorgan
Latest Role — Quant Analyst

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ESG & Climate
Domain Specialization

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RAG + LLM
AI Engineering Focus

📊
40+ Scripts
SAS→Databricks Migration

Technical Stack

What I Work With

From SQL pipelines to LLM orchestration — a full-stack data & AI toolkit.

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Data & Analytics

SQL Python PySpark SAS Snowflake Databricks Alteryx Azure (DP-900) n8n

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AI & LLM Engineering

RAG Pipelines LangChain LangGraph ChromaDB TF-IDF Vector Search LLMs Prompt Engineering

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Visualization & Tools

Tableau Power BI Figma Oracle Developer HUE DBeaver VSCode Jupyter Postman JIRA

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Domain Expertise

Banking Asset Management ESG & Climate Risk Financed Emissions (PCAF/TCFD) Consumer & Community Banking Insurance

Career

Where I've Made Impact

5+ years across global banking, from SQL pipelines to AI-powered tools.

JPMorgan Chase (via Randstad)

Jul 2025 — Feb 2026

Quant Analyst — Consumer & Community Banking

Owned end-to-end development of a unified Wire Analytics suite — writing SQL and Python scripts against Snowflake to extract behavioral, call center, and transactional data, then designing an Alteryx ETL workflow that blended all sources into a consolidated Tableau Hyper file.
Built a multi-dashboard Tableau workbook presented to Senior Leadership / VPs covering Wire KPIs, Financial Transaction Volume & Trends, Call Centre Volume & Trends, and a Wire-to-Call correlation view.
Developed Intent Search, an internal NLP-based proof-of-concept powered by TF-IDF and vector search enabling natural-language queries across call/transcript data.
Fulfilled ad-hoc data requests for Pre-Initiate Credit Cards team — producing structured Excel deliverables with pivot tables and charts.

Citi Bank North America (via Novel Financials)

May 2023 — May 2025

Data Analyst — Global Data Insights

Architected and led delivery of a multi-sector Financed Emissions Calculator web application for Citi's Climate Risk team — covering OSUC, Scope 1, 2 & 3 Upstream & Downstream across sectors like Auto, Oil, Coal, and more.
Sourced and integrated emissions data from D&B, S&P, Bloomberg (BBG), CDP, PCAF and international company portfolios; wrote SQL and Python scripts to clean, process, and load data into a governed golden source layer.
Constructed a comprehensive country-continent mapping reference dataset using the most current available data for regulatory accuracy across global portfolios.
Conducted deep-dive ESG analysis across company-level emissions disclosures and portfolio-level climate risk scoring using S&P, Bloomberg, and CDP data.

Franklin Templeton AMC (via Alp Consulting)

Mar 2022 — May 2023

Business Associate (Data Analyst) — Business Intelligence

Evaluated and recommended the migration from SAS to Databricks over Alteryx — personally rewrote 40+ SAS scripts in Databricks SQL and PySpark, delivering significantly faster processing and improved cluster-based resource management.
Automated MoM and YoY fund performance reporting by integrating Databricks with MS SQL, covering key metrics including SIP, STP, Purchase, and Redemption volumes across fund categories.
Developed Tableau dashboards tracking multi-channel marketing campaign performance and Google Analytics digital data.

Aditya Birla Health Insurance (via eExpedise)

Sep 2020 — Mar 2022

Software Developer — App Dev & Support (L2 & L3)

Optimized SQL stored procedures and scripts handling claims, policy, and marketing data — improving database robustness and reducing query execution time for BI and marketing insights.
Monitored and maintained daily ETL processes across insurance platforms, performing complex reconciliation tasks to ensure data consistency and integrity across claims and policy datasets.
Collaborated within a larger data and technology team under senior technical leadership, contributing to database performance improvements and operational data reliability.

Projects