Neeladri Bandopadhyay's Portfolio

Who Am I?

I'm Neeladri Bandopadhyay, a Computer Engineering student at Kalinga Institute of Industrial Technology (KIIT). I am passionate about solving real-world problems through Machine Learning, Artificial Intelligence, and Systems Optimization. My expertise spans Data Structures, Algorithms, Cloud Computing, and Business Analytics, and I enjoy applying these skills in both technical projects and research-driven innovations.

My Journey so far

Enactus

Worked as Assistant Director of R&D and brought positive changes across the society.

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Research Paper

Research has been key to my growth, shaping my problem-solving and technical expertise.

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Competitions

Solving challenges and showcasing innovations sharpened my skills under pressure.

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My Projects

StockOracle: AI-Powered Forecasting System

End-to-end dashboard for stock prediction using technical indicators, sentiment analysis, BERTopic modeling & hybrid forecasting.

Python Streamlit BERTopic Forecasting Plotly

Resume-Ranker: Semantic Matching Engine

NLP-powered system that ranks resumes by semantic relevance to job descriptions using BERTopic and TF-IDF.

BERTopic TF-IDF Python NLP Resume Matching

Sales Insight Dashboard

Designed a dashboard to uncover key sales insights, including top-performing products, high-value customers, regional revenue gaps, and seasonal trends across 4 years. Enabled data-driven decisions through interactive filters, KPI cards, and mobile-friendly visualizations.

Power BI DAX Data Modeling Excel

Optimized Cloud Resource Allocator

Implements a First-Fit Decreasing (FFD) algorithm with max-heap prioritization to allocate cloud resources efficiently. Tracks execution time and optimizes server utilization using C structs, making it ideal for OS-level scheduling and cloud systems.

C Max-Heap Structs

Optimized Recommendation Systems

Bayesian + MF-based recommendation engine with uncertainty quantification. Implements BPR and Variational Inference to deliver ranked, confidence-aware suggestions on real-world datasets.

BPR BPMF Deep Learning

Enactus Experience

“Where innovation meets social impact.”
As Assistant Director of Research and Development at Enactus, I helped drive sustainable, entrepreneurial solutions to real-world community challenges.

Led a team of 50+ members from challenging backgrounds, executing real-time impact projects.
Streamlined recruitment, onboarding & training to maintain quality and engagement.
Delivered presentations at national-level Enactus competitions, showcasing innovation and results.
Acted as a communication bridge between investors, beneficiaries, and administration.

Licenses & Certifications

Business for Good: Fundamentals of Corporate Responsibility

London Business School – Jan 2025

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Ethical Decision Making for Success in the Tech Industry

University of Colorado Boulder – Jan 2025 (Valid till Dec 2035)

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Corporate Governance

Coursera Instructor Network – Dec 2024

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PwC US - Management Consulting Job Simulation

Forage – Oct 2024

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Domains Covered:

Programming

(e.g., Python, C++)

Data Science & ML

Machine Learning, Data Analysis

Cloud & Cybersecurity

AWS, Azure, Cyber Risk

Corporate Responsibility

Ethics, Governance, Compliance

Competitions

Actively participated in national and inter-college technical and entrepreneurial competitions, demonstrating innovation, critical thinking, and collaboration.

Enactus National Cup 2024

Project Vistar | July 2024

Led the R&D team and conducted in-depth research for the project.
Proposed an optimized solution for better efficiency and sustainability.

Bio-ino-thon

Project Sanraksha | Feb 2024

Contributed to the consumer study and user analysis of the project.

Skills Demonstrated:

Problem Solving Innovation Technical Acumen Team Collaboration