---
title: "Mangesh Wagh - Data Scientist in Pune District | Tal"
description: "Meet Mangesh Wagh, Data Scientist | Machine Learning & Deep Learning Expert | Generative AI & Computer Vision Specialist | Python, SQL, Time Series & NLP | Driving AI Solutions for Retail Automation & Predictive Analytic based in Pune District. Explore public work links including github."
image: "https://tal.club/meet/unknown-1575/share-image"
---

# Mangesh Wagh on Tal

## Headline

Data Scientist \| Machine Learning &amp; Deep Learning Expert \| Generative AI &amp; Computer Vision Specialist \| Python, SQL, Time Series &amp; NLP \| Driving AI Solutions for Retail Automation &amp; Predictive Analytic

## About

I am a passionate and dedicated Data Scientist with a proven track record in designing and implementing advanced machine learning, deep learning, and AI solutions across diverse domains such as retail automation, natural language processing, computer vision, and time series forecasting\. With expertise in Python, SQL, and cutting\-edge AI technologies including generative AI and large language models, I continually strive to transform complex data into actionable insights that drive business value\. Currently, I serve as a Senior Associate Consultant at Infosys, where I lead machine learning initiatives focused on retail automation and predictive modeling\. My experience includes building scalable ML pipelines, optimizing model configurations, and integrating AI\-driven computer vision solutions to enhance automated retail experiences\. I am skilled in deploying models on cloud and edge infrastructures, ensuring robust, low\-latency performance suited for real\-world applications\. My journey began with a Mechanical Engineering background and an MBA in Business Analytics, which has equipped me with a unique blend of technical prowess and business acumen\. This helps me bridge gaps between data science teams and stakeholders, ensuring that AI initiatives align with strategic objectives\. Continuous learning is at the core of my professional philosophy\. I am enthusiastic about exploring the latest advancements in AI, such as generative models and agentic AI, and applying them to solve emerging challenges\. I maintain a strong focus on feature engineering, model validation, and the entire machine learning lifecycle, from data preprocessing to deployment and monitoring\. Beyond technical skills, I am a proactive collaborator and communicator, translating complex machine learning concepts into clear, actionable insights for diverse audiences\. I am motivated by the constant evolution of the data science landscape and thrive in environments that challenge me to innovate and grow\. In summary, I am an enthusiastic lifelong learner and a problem\-solver leveraging AI to drive business transformation\. I look forward to connecting with professionals who share a passion for data\-driven innovation and AI\-powered solutions\.

## Location

Pune District

## Work experience

Data Scientist at Infosys, Apr 2023 \- Present · 3 yrs 4 mos, Pune District, Maharashtra, India, Lead machine learning initiatives for retail automation and predictive modeling in a cross\-functional environment\. Design and implement computer vision validation flows to optimize model configurations for automated retail solutions\. Develop scalable ML pipelines to process real\-time retail data and enable frictionless automated checkout experiences\. Collaborate with data engineers and business stakeholders to align AI/ML solutions with strategic objectives\. Conduct model validation, performance optimization, and deployment using NVIDIA Triton Inference Server and other tools\.

Python Developer at AlgoAnalytics, Jun 2022 \- Oct 2022 · 5 mos, Pune District, Maharashtra, India, • Designed and implemented computer vision validation flows to optimize model configurations for automated retail solutions\. • Collaborated with ML engineers to improve detection accuracy and customer interaction tracking\. •Worked on OLO model finetuning, hyperparameter optimization, and deployments

SCM Engineer at Prakat Solutions, Nov 2021 \- May 2022 · 7 mos, Bengaluru, Karnataka, India, • Developed automated data cleaning and report generation processes using Python and visualization tools\. • Conducted end\-to\-end data analysis, building descriptive, predictive, and prescriptive models\. • Extensive experience with feature engineering and advanced ML techniques \(PCA, Random Forest, XGBoost\)\. • Built classification and regression models, fine\-tuning them using GridSearchCV and RandomizedSearchCV\. • Contributed to NLP tasks, leveraging libraries like NLTK for data preprocessing and vectorization \(BOW, TF IDF, Word2Vec\)\.

## Education

Master of Business Administration \- MBA, Business Analytics, Savitribai Phule Pune University

Bachelor's degree, Mechanical Engineering, Sinhgad college of engineering

## Public links

- github: https://github\.com/Mangesh22111997

[View the original profile](https://tal.club/meet/unknown-1575)

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