TANMOY KUNDU

Associate Consultant

Durgapur, West Bengal, India3 yrs experience
AI EnabledAI ML Practitioner

Key Highlights

  • Expert in AI and machine learning implementations.
  • Proven track record in industrial automation projects.
  • Strong analytical and problem-solving skills.
Stackforce AI infers this person is a skilled AI and machine learning developer with experience in industrial automation and SaaS.

Contact

Skills

Core Skills

Erp ConsultingBusiness AnalysisAi ImplementationProject ManagementData AnalysisMachine Learning

Other Skills

AI Software DevelopmentAI and computer visionAIMLActive DirectoryAd Hoc AnalysisAnacondaAnalytical SkillsArtificial Intelligence (AI)Big DataBusiness AnalyticsBusiness Intelligence (BI)Business ProcessBusiness RequirementsBusiness process analysisCCTV camera network design

About

a young developer passionate about ML- NLP Development . Play with data makes me happy .

Experience

3 yrs
Total Experience
1 yr
Average Tenure
--
Current Experience

Juno software systems pvt. ltd.

2 roles

Sr. ERP Consultant

Aug 2025Oct 2025 · 2 mos · Pune, Maharashtra, India · On-site

ERP Consultant

Sep 2024Aug 2025 · 11 mos · Pune, Maharashtra, India · On-site

  • Serving as an on-site lead, delivering client training, preparing SRS documents, and
  • promoting module adoption with strong collaboration across teams to align business
  • needs with technical capabilities.
  • Conduct business process analysis and document KRA/KPI requirements across multiple
  • modules (Academic, Finance, HR, Stock, Purchase, and Inventory).
  • Gather and analyze client requirements, translating business needs into technical specifications and
  • process workflows.
  • Manage legacy client data migration and optimize ERP process flows for better operational
  • efficiency.
  • Utilize SǪL queries for data extraction, validation, and reporting purposes.
SRS documentationBusiness process analysisData extractionSQLERP ConsultingBusiness Analysis

Satsafeti

2 roles

Operations Incharge

Jun 2024Sep 2024 · 3 mos · Kolkata, West Bengal, India · On-site

  •  Maintained client communication for ongoing projects, prepared proposals, and planned
  • project timelines.
  • Led end-to-end implementation of Vision AI projects—including data capture, cleaning, annotation,
  • and team management—for solutions like Conveyor Belt Monitoring, Anti-Collision Detection, Anode
  • Counting, and Center Line Detection, ensuring high data accuracy and optimal model performance.
  • Collaborated with cross-functional stakeholders, including business leaders, data scientists, and
  • technical teams, to gather and define business requirements for AI and computer vision- based
  • industrial safety solutions deployed at sites like TATA Steel, Jindal Steel, and BALCO.
  • Acted as a liaison between on-site engineering teams and backend developers by translating
  • complex industrial processes into clear, actionable tasks and implementation plans.
  • Participated in the end-to-end planning, scoping, and prioritization of AI-driven projects such as
  • Conveyor Belt Sway Monitoring and Anti-Collision Systems, ensuring alignment with client safety goals
  • and operational strategies.
  • Collaborated closely with AI developers and data scientists in data collection, annotation, and model
  • fine-tuning to ensure that image recognition systems met safety compliance standards and delivered
  • high accuracy.
  • Facilitated rigorous on-site testing and validation of Vision AI applications, ensuring solutions met
  • specified requirements and produced reliable, real-time alerts.
  • Contributed to the creation and standardization of SOPs for system deployment,
  • troubleshooting, and maintenance to ensure operational consistency across multiple client
  • locations.
Vision AIData cleaningTeam managementAI and computer visionAI ImplementationProject Management

Implementation Engineer

Jul 2023May 2024 · 10 mos · Kolkata, West Bengal, India · On-site

  • Successfully executed on-site implementation of Vision AI projects for leading clients,
  • including TATA Steel, Jindal Steel, and BALCO, by designing and developing comprehensive
  • CCTV camera network diagrams using fiber optic (FO) cables and switches. Guided the
  • technical team through the setup process and configured systems by installing essential
  • tools such as Python and MySQL Workbench, while optimizing GPU-based machines for
  • enhanced performance.
  • Deployed code into production systems post-setup, delivering real-time results to clients
  • and ensuring project success and client satisfaction. Optimized and fine-tuned models
  • to achieve the best possible accuracy and performance.
  • Conducted data collection, sorting, and annotation to support AI model development
  • and optimization, including collecting data and retraining models to achieve highly
  • accurate outputs. Additionally, visited manufacturing plants to address software and
  • networking-related issues, ensuring seamless operations and system efficiency.
  • Successfully developed and implemented robust Conveyor Belt Sway Monitoring and Anti-
  • Collision Systems using Image recognition and video analysis models, Python-based real-
  • time monitoring logic, and automated alert mechanisms, ensuring seamless operations
  • and safety compliance at TATA Steel, JSW Steel, and Vedanta plants..
CCTV camera network designPythonMySQL WorkbenchImage recognitionAI ImplementationProject Management

Persistent systems

2 roles

Software Engineer

Jul 2022Mar 2023 · 8 mos · Pune, Maharashtra, India

  • Collaborated on the project "Sentiment Analysis of Persistent Systems Employee Reviews",
  • involving web scraping data from platforms such as Glassdoor and Ambition Box. Performed data
  • cleaning, data pre-processing, feature engineering, refining, stop-word removal, and prepared
  • structured datasets using NLP techniques. Applied and evaluated multiple machine learning
  • models to identify the best-performing model for accurate sentiment analysis.
  • Worked closely with AI developers and data scientists on the “Sentiment Analysis of Persistent Systems
  • Employee Reviews” project, aligning model objectives with client and business goals. Responsibilities
  • included web scraping from Glassdoor and Ambition Box, performing data cleaning, preprocessing,
  • feature engineering, and applying NLP techniques to prepare structured datasets.
  • Evaluated and compared multiple machine learning models to select the best-performing one for
  • accurate sentiment classification, demonstrating strong analytical and data interpretation skills.
  • Developed hands-on knowledge of AI and machine learning concepts, including Reinforcement
  • Learning and deep learning deployment strategies, with practical experience in optimizing model
  • performance for real-world scalability.
  • Demonstrated excellent communication and client management skills through formal training and project
  • presentations, effectively bridging technical concepts for non-technical stakeholders.
  • Familiar with data analysis and visualization using Python and NLP libraries, and capable of applying AI
  • solutions to practical domains such as supply chain feedback analysis and employee sentiment tracking.
  • Possess strong problem-solving and critical thinking abilities, with the capacity to translate data- driven
  • insights into actionable strategies that support business objectives.
Web scrapingNLP techniquesData cleaningMachine learningData AnalysisMachine Learning

Software Engineer Intern

Feb 2022Jul 2022 · 5 mos · Pune, Maharashtra, India

Education

Dr. B.C. Roy Engineering College

B.tech — Electronics and communication engineering

Jan 2018Jan 2022

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