---
title: "Tanmay Kadlag - Data Engineer in Pune District | Tal"
description: "Meet Tanmay Kadlag, Data Engineer at Deloitte I MLOps & Predictive Analytics for FMCG | SQL | Python | Azure I VNIT’22 based in Pune District. AI stack includes codex and cursor. Explore public work links including github."
image: "https://tal.club/meet/tanmay-kadlag/share-image"
---

# Tanmay Kadlag on Tal

## Headline

Data Engineer at Deloitte I MLOps & Predictive Analytics for FMCG \| SQL \| Python \| Azure I VNIT’22

## About

I’m Tanmay Kadlag — a Consultant at Deloitte who builds production ML systems for FMCG teams\. I specialize in MLOps, predictive analytics, and data engineering \(Scala & Python\) to reduce manual effort and turn forecasts into operational actions\. Key wins: Industrialized a country\-scale predictive analytics pipeline and accelerated model deployment by 30% \(integrated with production platforms\)\. Built end\-to\-end Scala/Python frameworks for data prep that improved sales forecasting accuracy and model readiness\. Automated reporting workflows to reduce manual work by 30% and cut Power BI refresh times by 25%\. What I do now: lead cross\-functional projects to operationalize ML models, set up model health & retraining triggers, and deliver dashboards & automation that front\-line teams can act on\. If you’re scaling ML for revenue or ops impact in FMCG \(or nearby industries\), let’s connect\.

## Location

Pune District

## AI stack

codex

cursor

## Work experience

Data Engineer at Deloitte, May 2024 \- Present · 2 yrs 4 mos, Pune District, Maharashtra, India, Industrialized a country\-scale predictive analytics pipeline and reduced model deployment time by 30%, enabling faster model releases and rollbacks\. Designed a reusable Scala \+ Python data\-generation framework that increased feature coverage and improved sales\-forecast accuracy\. Launched a new ML model \(clustering \+ supervised ensemble\) that improved target performance by 10% and was integrated into operational workflows\. Implemented automated model\-health monitoring and retraining triggers, increasing pipeline reliability and reducing manual interventions by an estimated 20%\.

Analyst \| Cloud Engineering at Deloitte, Jul 2022 \- May 2024 · 1 yr 11 mos, Mumbai, Maharashtra, India, Increased predictive\-model accuracy by 15% via improved preprocessing and feature engineering for churn and sales\-recommendation systems\. Automated report generation with Scala, cutting manual reporting effort by 30% and enabling near\-real\-time performance tracking\. Optimized Power BI backends to reduce refresh times by 25%, improving visibility for sales and analytics teams\. Standardized data\-cleaning pipelines, improving data readiness for modeling by 40%\.

## Education

Bachelor of Technology \- BTech, Electrical and Electronics Engineering, Visvesvaraya National Institute of Technology

## Public links

- github: https://github\.com/takadlag

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

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