---
title: "Atul Kadam - Artificial Intelligence Sr. Analyst in Pune Division | Tal"
description: "Meet Atul Kadam, Applied Machine Learning Engineer | Statistical Learning | Predictive Modeling | Python | SQL | NLP |GenAI| based in Pune Division."
image: "https://tal.club/meet/atul-kadam/share-image"
---

# Atul Kadam on Tal

## Headline

Applied Machine Learning Engineer \| Statistical Learning \| Predictive Modeling \| Python \| SQL \| NLP \|GenAI\|

## About

I am a Data Scientist with 3\.8 years of experience applying statistical modeling and machine learning to solve real\-world business problems\. Currently working at Accenture, I specialize in regression techniques \(linear & logistic\), time series analysis, predictive modeling, and statistical inference\. I have strong hands\-on experience in Python and SQL, covering data preparation, feature engineering, model development, and evaluation\. My work focuses on building robust, interpretable models that support data\-driven decision\-making rather than dashboard\-centric analytics\. I also led a Generative AI initiative, transforming Attrition KPI reporting by building a GPT\-4–powered agentic AI chatbot that delivers real\-time insights via Power BI and an interactive Stream lit UI, significantly improving decision\-making efficiency

## Location

Pune Division

## Work experience

Artificial Intelligence Sr\. Analyst at Accenture in India, Jul 2024 \- Present · 1 yr 10 mos, Pune, Maharashtra, India, Designed and developed a hybrid recruitment recommendation system to suggest the top 5 relevant companies based on user skills, experience, and location, improving personalization and match quality\. Implemented collaborative filtering \(SVD\+\+\) and content\-based techniques \(TF\-IDF, sentence embeddings\) to generate tailored recommendations aligned with individual user profiles\. Applied feature engineering and model evaluation techniques to improve recommendation relevance and forecasting stability across changing data patterns\. Built and maintained data pipelines for operational KPIs, enabling inputs to predictive and forecasting models used for future planning\. Developed, optimized, and monitored time series forecasting models including ARIMA, SARIMA, and Prophet, ensuring reliable forecasts to support data\-driven operational decisions\. Transformed attrition KPI reporting by building a GPT\-4–powered agentic AI system, delivering real\-time insights via Power BI and an interactive Streamlit UI, significantly improving decision\-making efficiency

Senior Associate Analyst \- Data Science at Infosys, May 2022 \- Nov 2023 · 1 yr 7 mos, Pune, Maharashtra, India, Conducted in\-depth analysis of large datasets to identify trends and patterns, utilizing tools such as Python \.Developed predictive models and machine learning algorithms to forecast Attrition rate\. Executed data preprocessing tasks including data cleaning, merging, and transformation to ensure data quality and consistency\.

Data Scientist at VisionNLP, Sep 2021 \- May 2022 · 9 mos, Pune, Maharashtra, India, Identify valuable data sources and automate collection processes\. Undertake preprocessing of structured and unstructured data\. Analyze large amounts of information to discover trends and patterns Build predictive models and machine\-learning algorithms\.

## Education

M\.Sc, Statistics, Dr\. Babasaheb Ambedkar Marathwada University, Aurangabad

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

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