Samantak Chakravorty
AI EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Engineer with 4+ years in AI, MIS Reporting & Operations Coordination
MBA graduate specializing in Business Analytics with 4+ years of professional experience across operations support, stakeholder coordination, reporting, workforce-oriented environments, and academic administration. Experienced in Applied AI, HR Analytics, MIS reporting, and business intelligence using Python, SQL, Power BI, Tableau, and machine vision technologies. Developed industrial-grade AI systems integrating computer vision, predictive analytics, and explainable AI frameworks to support operational decision-making, process optimization, and quality evaluation.
Central University of Andhra Pradesh
MBA · Business Analytics
August 1, 2024 – June 30, 2026
Visva-Bharati University
Master of Social Work (MSW)
August 1, 2017 – June 30, 2019
Visva-Bharati University
Bachelor of Social Work (BSW)
August 1, 2014 – June 30, 2017
Sona Comstar
Human Resource Summer Intern
June 1, 2025 – August 1, 2025
India
Indian Institute of Management Calcutta
Trainee Teaching Associate
June 1, 2021 – January 1, 2023
India
Kaivalya Education Foundation
Fellow
July 1, 2019 – May 1, 2021
India
Applied AI Quality Intelligence System for Tea Manufacturing
January 1, 2024 – June 1, 2026
Designed an industrial-grade AI-powered quality assessment system using Python, OpenCV, and computer vision technologies. Developed machine vision pipelines for morphological texture analysis, Laplacian variance detection, and color-space evaluation using CIE L*a*b* standards. Built predictive analytical models to estimate polyphenol concentration, liquor brightness, bitterness, and fermentation quality. Engineered explainable AI logic to support operational decision-making and reduce subjectivity in industrial quality audits. Integrated automated reporting and PDF certification systems for production traceability and quality standardization. Proposed data-driven frameworks to minimize "price leakage" within tea auction ecosystems through objective quality benchmarking.
AI ATS Resume Optimization & Workforce Analytics Platform
January 1, 2024 – June 1, 2026
Developed an AI-powered ATS resume evaluation platform using Python, NLP, and Streamlit. Implemented semantic similarity scoring using Sentence Transformers and cosine similarity algorithms. Built ATS compatibility analysis systems with automated skill-gap detection and keyword optimization logic. Designed recruiter-oriented analytics workflows to improve candidate screening and recruitment efficiency.
Training Analytics & Workforce Skill Mapping Dashboard
January 1, 2024 – June 1, 2026
Built Power BI dashboards for workforce training analysis and competency tracking. Designed employee-wise skill mapping systems to support workforce planning and operational reporting. Implemented structured MIS reporting workflows for audit compliance and performance tracking.
Learning & Development
NPTEL (IIT Guwahati)
June 1, 2026 – Present
Labour Welfare & Industrial Relations
NPTEL
June 1, 2026 – Present
Organizational Behaviour
NPTEL (IIT Roorkee)
June 1, 2026 – Present
New Labour Codes
NPTEL (IIT Kharagpur)
June 1, 2026 – Present
Python for Data Science
IBM
June 1, 2026 – Present
Power BI Certification
Simplilearn
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's background includes significant experience in social work and education, which, while demonstrating strong soft skills and a commitment to impact, is not directly aligned with a purely technical AI engineering role. The projects show a clear pivot towards AI and analytics, indicating a strong desire to transition. However, the overall professional experience lacks depth in a traditional software engineering or AI development environment. The diversity of projects (AI quality system, ATS optimization, training analytics) shows adaptability and a broad interest in applying AI, but the academic and social work background might require a cultural adjustment to a fast-paced, product-focused AI engineering team.
Soft Skills & Operational Fit
The candidate demonstrates strong operational skills including stakeholder coordination, reporting, process improvement, workforce planning, and analytical problem-solving. Their experience in academic administration and leading school development initiatives suggests good organizational and leadership capabilities. The projects highlight an ability to translate business problems into AI/analytics solutions, indicating a practical, results-oriented approach.