01
Data science & NLP
Building content-based recommendations from résumé and job-description text.
DATA SCIENCE · NLP · SYSTEMS
Bidhayak
Baral.
Data science meets
real-world systems.
I’m building on a background in networks and systems to explore data science, natural language processing, and practical machine learning.
Winston-Salem, North Carolina
A CONNECTED WAY OF THINKING✳
01 / 04
Finding direction in data.
Python, data analysis, and recommendation systems.
SELECT A NODE TO EXPLORE↗
01 — ABOUT ME
A practical mindset.
A connected
perspective.
I’m interested in what data can tell us — and what we can build with it.
My path into data science builds on hands-on experience in networks and systems. Supporting college campuses taught me to troubleshoot carefully, understand real needs, and make technology useful for the people behind it.
Through my M.S. in Data Science at Carolina University and my capstone work, I’ve been exploring Python, natural language processing, and content-based recommendation systems. My job recommendation project brings those interests together: turning résumé text and job descriptions into explainable matches.
I also bring a practical foundation in multi-vendor networks, Linux administration, cloud services, and security — alongside experience mentoring interns and supporting teams.
A FEW WAYS TO SAY HELLO
नमस्ते · Hello
Nepali · English02 — WHAT I BRING
From connected systems
to meaningful data.
Data science in practice, supported by
a foundation in infrastructure.
02
Analysis & visualization
Cleaning datasets, explaining model outputs, and making results easier to explore.
03
Networks & systems
Designing campus networks and maintaining the servers and services behind them.
04
Cloud & security
Supporting collaboration platforms, monitoring system health, and strengthening defenses.
03 — SELECTED PROJECTS
Making the right
connections.
Practical projects across data,
networks, and IT systems.
RÉSUMÉ → OPPORTUNITY
TextRésumés + job descriptions
SimilarityTF-IDF + cosine similarity
RecommendationsRanked jobs + match explanations
EXPLAINABLE BY DESIGN01
DATA SCIENCE CAPSTONE · 2026
AI-Based Job
Recommendation System
A content-based recommender that compares résumé text with job postings, ranks relevant roles, and explains the terms and skills behind each match.
I built a Python workflow for text cleaning, TF-IDF feature extraction, and cosine-similarity ranking, with a Streamlit interface for exploring recommendations and potential skill gaps.
Inside the project
THE PROBLEM
Less searching. More context.
Job descriptions and résumés use varied language. The project explores how text-based similarity can surface relevant roles and make the reasons for a recommendation visible.
THE APPROACH
From raw text to ranked roles.
Clean and normalize the text, represent unigrams and bigrams with TF-IDF, then rank postings by cosine similarity. Shared terms, matched skills, and missing skills help explain each result.
THE EXPERIENCE
A workflow people can explore.
The Streamlit app accepts PDF, DOCX, or TXT résumés, works with imported job data or supported job APIs, and offers filters, charts, and downloadable recommendation results.
THE EVALUATION
Measure ranking quality.
The evaluation workflow supports human relevance ratings and calculates Precision@5, nDCG@10, and mean reciprocal rank. Similarity scores describe text alignment, rather than the likelihood of being hired.
A BROADER TECHNICAL FOUNDATION
More work to explore.
Selected undergraduate projects
from Islington College.
02 / IoT
FINAL-YEAR PROJECT · 2020–2021
Patient Health
Monitoring System
Connecting physical sensors with a digital interface. My project explored Arduino-based vital-signal monitoring, LCD readings, and a web dashboard design.
Explore the project
From sensor to screen.
I connected heart-rate, ECG, and gyroscopic sensors to an Arduino Mega and displayed readings on an LCD. I also developed the circuit design and wireframes for the dashboard, login, and signup screens.
Building in stages.
The interim report documents sensor setup and interface development. GSM alerts, GPS, and full web integration formed part of the planned next stages. This was an academic development project; clinical accuracy was not established.
Work: circuit design · sensor setup · UI wireframes03 / SECURITY
DIGITAL CRIME INVESTIGATION · COURSEWORK
Security Incident
Investigation
A documented coursework simulation examining a phishing-led compromise, the evidence it leaves, and the safeguards that help reduce the risk.
Explore the project
Follow the evidence.
I documented a simulated compromise using Metasploit, then examined the suspicious email, downloaded files, browser activity, and background process involved in the scenario.
Turn findings into safeguards.
The report connects the investigation to practical recommendations around suspicious attachments, security awareness, and keeping endpoint and firewall protections enabled.
Work: investigation report · evidence screenshots · recommendations04 / NETWORKING
LAN & WAN · 2020
Network Simulation
in Packet Tracer
A practical network-simulation submission from my LAN & WAN coursework, part of the CCNA 3 & 4 curriculum and my foundation in networking.
Explore the project
Practice in a simulated environment.
The coursework deliverable was a Packet Tracer activity file (.pka), submitted for the final LAN & WAN coursework in June 2020.
A foundation for practical work.
This academic work sits alongside my later campus IT experience. The original simulation is an offline Packet Tracer activity.
Work: submitted Packet Tracer activity04 — EXPERIENCE
Real environments.
Real responsibility.
From supporting engineers to managing campus IT.
A foundation built through hands-on work.
MAR 2023 — AUG 2024IT ManagerItahari International College
Managed the infrastructure behind a connected campus, supporting the network and the people relying on it every day.
- Designed and optimized networks using Cisco, MikroTik, Juniper, and firewall technologies.
- Planned Ethernet cabling, wireless access points, and IP camera deployments.
- Supported VLANs, DHCP, and DNS, and troubleshot day-to-day connectivity issues.
- Coordinated cost-effective procurement and provided technical support to staff and students.
JUL 2022 — MAR 2023IT OfficerIslington College
Supported the servers, cloud platforms, and team processes that kept college IT operations running.
- Installed, configured, and maintained Linux servers and management software.
- Administered Google Workspace and Microsoft Azure services.
- Performed backup, patching, performance monitoring, and system hardening work.
- Mentored interns and developed documentation to standardize IT support workflows.
DEC 2020 — MAR 2021IT InternVairav Technology
Built an early foundation in IT operations and governance, risk, and compliance.
- Helped the GRC team draft governance frameworks and conduct risk assessments.
- Assisted senior engineers with configuration, troubleshooting, and technical documentation.
- Supported basic hardening checks and incident follow-up documentation.
05 — EDUCATION
Always
learning.
A foundation in infrastructure.
A perspective shaped by data.
M.S. in Data Science
Carolina University
Winston-Salem, North CarolinaB.Sc. (Hons) Networking & Cybersecurity
Islington College
London Metropolitan UniversityGOOD THINGS START WITH A CONVERSATION
LinkedInHave a role, a challenge, or an idea in mind?
bidhayak2baral@gmail.com