Naman Jain
Bengaluru,KA
Summary
Experienced Data Scientist with 5.5+ years of expertise in creating and deploying advanced AI/ML solutions for supply chain, inventory optimization, and smart warehouse operations. Proficient in Python, SQL, Azure, Databricks, and various machine learning methods like NLP, time series forecasting, and optimization. Proven track record of providing valuable data-driven insights that drive substantial improvements in organizational performance.
Overview
6
6
years of professional experience
1
1
Certification
Work History
Data Scientist
Aziro ( Formerly MSys Technologies )
01.2023 - Current
- Working with leading distribution and supply chain company as a Data Scientist Consultant
- Led the development of Inventory Optimization Platform to automate SIOP processes, reduce DIO from 120 to 60–75 days, and streamline inventory actions
- Integrated GenAI-powered chatbot using LangChain and OpenAI to answer inventory queries, generate SQL dynamically, and support natural language interaction
- Contributed to successful AI/ML projects in the IoT sector, focusing on smart warehouse solutions.
- Part of key initiatives for energy prediction, optimization, and forklift utilization in smart warehouses.
- Led data preprocessing, converting raw IoT sensor data into actionable environment and energy states.
- Implemented Bayesian Optimization-based recommendation system for energy optimization
- Architected microservices (energy prediction, recommendation, forklift utilization) using gRPC, REST, websockets.
- Collaborated with cross-functional teams to integrate AI/ML solutions seamlessly.
- Shared expertise, fostering continuous learning and knowledge-sharing within the team.
Junior Data Scientist
Aziro ( Formerly MSys Technologies )
07.2021 - 01.2023
- Contributed significantly to the implementation of an logic and API for calculating supplier vendor rebates, contract analysis, and rebate forecasting using SARIMA
- Played a key role in transitioning the Special Pricing Agreement (SPA) system from rule-based logic to a machine learning-driven approach, optimizing transaction searches and enhancing operational efficiency
- Developed an interactive dashboard for crop-related data analysis
- Created a Shiny app for 1-year sales forecasting of 50 items across 10 stores.
- Utilized 5 years of historical sales data for accurate predictions and insight
Software Engineer Trainee (Data Science)
Aziro ( Formerly MSys Technologies )
07.2020 - 07.2021
- Developed a chatbot for the company's marketing team using Rasa and Rasa X
- Configured a robust NLP training pipeline for the development of a contextual AI assistant
- Added intents, stories, custom actions, and forms to tailor the chatbot according to specific requirements
- Successfully deployed the chatbot on Google Cloud for seamless integration with the company's website
- Created proofs of concept for innovative new solutions in computer vision.
Machine Learning Intern
Aziro ( Formerly MSys Technologies )
01.2020 - 07.2020
- Developed a machine learning model to predict employee attendance based on the past 3 years of attendance data.
- Utilized Random Forest Classifier and Grid Search for hyperparameter tuning to optimize model performance
- Achieved impressive accuracy ranging between 85% to 97% for different employees, indicating the model's effectiveness in attendance prediction
Education
Post Graduate Program - Artificial Intelligence and Machine Learning
The University of Texas At Austin
Online11.2024
B.Tech. - Computer Science(Cloud Computing and Virtualization Technology)
University of Petroleum and Energy Studies
Dehradun, Uttarakhand05.2020
XII CBSE - PCM
St. John's Sr. Sec. School
Firozabad, UP04.2015
Xth CBSE - PCM
St. John's Sr. Sec. School
Firozabad, UP04.2014
Skills
- Programming: Python, R
- Database: SQL Server, MongoDB
- ML Libraries: Pandas, NumPy, Scikit-learn, NLTK
- Data Visualization: Matplotlib, Plotly, RShiny, Power BI, Bokeh, Seaborn
- Cloud Technologies: Azure ML, Databricks, Datalake, Data Factory, Azure Open AI
- Time Series : Demand Forecasting using Arima, SArima, LSTM, NN
- Chatbot Framework: LangChain, Rasa, Rasa X
Projects
S.A.R.A – AI-Powered Inventory Optimization Platform
Tech Stack: Python, FastAPI, Azure, LangChain, OpenAI, SQL, Logic Apps
- Developed an AI-driven inventory management platform to reduce Days Inventory Outstanding (DIO) and automate Sales Inventory Operations Planning (SIOP) decisions.
- Integrated curated insights, push/pull/cancel recommendations, and persona-based notifications to streamline buyer workflows.
- Built a GenAI-powered chatbot using LangChain and Azure OpenAI to automate buyer interactions, handle inventory queries in natural language, and dynamically generate SQL queries.
- Improved visibility, responsiveness, and just-in-time inventory alignment across supply chain operations.
Smart Buildings – Warehouse Energy Optimization System
Tech Stack: Python, FastAPI, XGBoost, Random Forest, Bayesian Optimization, IoT, WebSockets
- Designed predictive models using IoT sensor data (HVAC, lighting) and warehouse parameters to forecast energy consumption.
- Integrated a Bayesian optimization-based recommendation engine to suggest optimal HVAC and lighting configurations for energy efficiency.
- Delivered real-time insights and actionable recommendations through FastAPI microservices and WebSocket dashboards.
- Enabled data-driven decisions and continuous monitoring for maximum energy savings.
Supplier Vendor Rebate Optimization System
Tech Stack: Python, SQL, Power BI, Azure Data Factory
- Implemented a rebate optimization and forecasting system to address fragmented supplier rebate (SVR) tracking and forecasting.
- Developed automated pipelines for consolidating rebate data, improving transparency and forecast accuracy.
- Empowered finance and procurement teams to make data-backed negotiation and rebate planning decisions.
Forklift Utilization Optimization
Tech Stack: Python, Power BI, SQL, FastAPI
- Built a forklift utilization analysis system to evaluate and optimize forklift performance and maintenance planning.
- Analyzed utilization trends and downtime metrics to improve asset allocation and maintenance scheduling.
- Delivered real-time alerts and dashboards for proactive issue detection and enhanced operational efficiency.
Website AI Assistant – Contextual Lead Generation Chatbot
Tech Stack: OpenAI, LangChain, React, FastAPI
- Developed a contextual AI chatbot to drive lead generation and enhance website engagement.
- Integrated natural language understanding and intent recognition to deliver personalized user interactions.
- Connected with CRM systems for automated lead capture and qualification, improving conversion rates and user experience.
Certification
- May 2023 Microsoft Certified : Azure Data Scientist Associate, Microsoft
- April 2023 Microsoft Certified : Azure Fundamentals, Microsoft
- Aug 2020 AWS Fundamentals: Going Cloud-Native, Coursera
- Aug 2019 Programming for Everybody (Getting Started with Python), Coursera
- Feb 2019 3rd Position in CodeMystery Event, Ignite, UPES
- Oct 2018 Certification for attending workshop on Internet of Things workshop conducted in Technocruse Dehradun, by Techkriti- IIT Kanpur, UPES
Timeline
Data Scientist
Aziro ( Formerly MSys Technologies )
01.2023 - Current
Junior Data Scientist
Aziro ( Formerly MSys Technologies )
07.2021 - 01.2023
Software Engineer Trainee (Data Science)
Aziro ( Formerly MSys Technologies )
07.2020 - 07.2021
Machine Learning Intern
Aziro ( Formerly MSys Technologies )
01.2020 - 07.2020
B.Tech. - Computer Science(Cloud Computing and Virtualization Technology)
University of Petroleum and Energy Studies
XII CBSE - PCM
St. John's Sr. Sec. School
Post Graduate Program - Artificial Intelligence and Machine Learning
The University of Texas At Austin
Xth CBSE - PCM
St. John's Sr. Sec. School