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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.
Labour Welfare & Industrial Relations
NPTEL
June 1, 2026 – Present
Power BI Certification
Simplilearn
June 1, 2026 – Present
Organizational Behaviour
NPTEL (IIT Roorkee)
June 1, 2026 – Present
Learning & Development
NPTEL (IIT Guwahati)
June 1, 2026 – Present
New Labour Codes
NPTEL (IIT Kharagpur)
June 1, 2026 – Present
Python for Data Science
IBM
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.