Hi, I'm Bikash Acharya

Software Engineer & Data Scientist

I am a recent Computer Science (Data Science minor) graduate from Northern Kentucky University with 6+ years of coding experience. Skilled in Software Engineering, Machine Learning, and Data Science, with hands-on experience in full-stack development, building scalable data pipelines, and implementing end-to-end ML solutions.

Profile

About Me

Get to know more about my background, skills, and passion for technology

Who am I?

I'm a passionate Software Engineer with expertise in full-stack development, data science, and machine learning. I've built Full stack Projects like a custom Job Search Platform and also worked on Machine Learning projects like Sentiment Analysis for 20M+ reviews, fine-tuning models like DistilBERT, and Designing ML pipelines that improved defect detection by 30%.

I graduated from Northern Kentucky University with a Bachelor's degree in Computer Science and a minor in Data Science. Throughout my academic journey, I developed a deep interest in solving complex problems and building innovative solutions.

When I'm not coding, you can find me exploring new technologies, contributing to open-source projects, or participating in community events. I'm always eager to learn and grow in this ever-evolving field.

View Resume

Education

  • BSc in Computer Science

    Northern Kentucky University, 2021-2024

  • Minor in Data Science

    Northern Kentucky University, 2021-2024

Interests

  • Software Development
  • Data Science
  • Machine Learning
  • Cloud Computing
  • Open Source

Location

  • Cincinnati, OH
  • (Willing to Relocate)

Contact

  • sebikash10@gmail.com
  • github.com/acbikash13
  • linkedin.com/in/acbikash13

My Skills

A comprehensive overview of my technical skills and expertise

Programming Languages

  • Java (Advanced)
  • Python (Advanced)
  • JavaScript (Advanced)
  • SQL (Advanced)
  • C# (Intermediate)
  • C++

Frontend Development

  • React.js
  • Next.js
  • HTML/CSS
  • TypeScript

Backend Development

  • Node.js
  • Express.js
  • Spring Boot
  • Flask
  • RESTful APIs

Database

  • PostgreSQL
  • MongoDB
  • MySQL

Data Science

  • Pandas
  • NumPy
  • Matplotlib
  • Scikit-learn
  • Data Visualization
  • Data Wrangling

Machine Learning

  • TensorFlow
  • Keras
  • NLTK
  • PySpark
  • YOLO

DevOps & Cloud

  • Azure DevOps
  • CI/CD
  • Docker
  • AWS
  • Kafka

Tools & Others

  • Git
  • GitHub
  • Jira
  • Unit Testing
  • Salesforce
  • Microsoft 365

My Projects

Explore my portfolio of full-stack applications, data science projects, and machine learning models

Job Search Platform
Watch Demo
Job Search Platform
Developed a full-stack job search application leveraging AI and microservices architecture to enhance job recommendations. The platform integrates web scraping to aggregate job postings from multiple sources and utilizes Llama3.1 for intelligent job matching based on user profiles. Features include real-time filtering, resume parsing, and personalized job alerts.
Next.js
PostgreSQL
TypeScript
Express.js
Docker
Azure
Llama3.1
BloodBond - Centralized Blood Donation Platform
Watch Demo
BloodBond - Centralized Blood Donation Platform
Built for a Hack Kentucky Hackathon, it is a full-stack web platform designed to streamline blood donation and management across hospitals and blood banks. The system enables real-time donor matching, reducing manual search time by 60%. It features an inventory management module to track blood supply levels across multiple institutions, ensuring optimal resource allocation.
Next.js
AWS
PostgreSQL
Node.js
Multiplayer Bingo Web Game
Watch Demo
Multiplayer Bingo Web Game
A real-time multiplayer Bingo game featuring real-time chat, game state synchronization, and smooth player interactions using WebSockets. The backend, powered by MongoDB, stores game sessions and user progress. The game minimizes latency through optimized WebSocket event handling
JavaScript
WebSockets
MongoDB
Azure
RESTful APIs
Convolutional Neural Network App
Watch Demo
Convolutional Neural Network App
Built an image classification application using CNNs for real-time image categorization. The app enables users to upload images, and the model predicts categories with high accuracy. Flask serves as the backend, handling image preprocessing and model inference
Python
TensorFlow
Keras
Flask
Azure
CNN
Mastermind Game
Watch Demo
Mastermind Game
A multithreaded Java-based client-server game implementing the classic Mastermind logic puzzle. The server handles multiple concurrent player sessions using socket programming, ensuring a smooth, interactive experience
Java
Multithreading
Socket Programming
Research Collab App
Watch Demo
Research Collab App
A university research collaboration platform designed to connect researchers and students. The app features advanced filtering, project discovery, and AI-powered recommendation systems for research opportunities. Secure authentication is implemented using OAuth
React
Tailwind CSS
OAuth
Real-Time Object Detection System
Real-Time Object Detection System
Developed a real-time object detection pipeline integrating Kafka for message streaming and Spark for distributed processing. The system leverages YOLOv3 for fast and accurate object detection on video streams
Python
YOLOV3
Kafka
Spark
OpenCV
Sentiment Analysis Platform
Sentiment Analysis Platform
A large-scale sentiment analysis system that processes over 21 million RateMyProfessor reviews, achieving 86% accuracy using a fine-tuned DistilBERT model. The system is optimized with PySpark for large-scale data processing, reducing training time by 30%
DistilBERT
PySpark
NLTK
Keras
Transformers
PyTorch
Defects Coil Detection System
Defects Coil Detection System
An industrial machine learning pipeline developed to detect defects in coil production in collaboration with North American Stainless. The model improved defect detection accuracy by 30%, leveraging deep learning techniques. PostgreSQL stores production data, and Flask serves as the API layer. Used Neural Networks, Built Data Pipelines, Performed Outlier Detections, and evaluated 10+ ML Algorithms. Worked with about 50GB of data. Can not share the code due to NDA with NAS.
Python
TensorFlow
Keras
PostgreSQL
Flask
Neural Networks
Deep Learning
Job Scraper and Recommendation Tool
Job Scraper and Recommendation Tool
Built an automated job scraping tool using Python and JobSpy, storing job postings in an AWS-hosted PostgreSQL database. The system schedules CRON jobs to collect data every 30 minutes, ensuring up-to-date job listings for AI-powered recommendations
Python
AWS
PostgreSQL
JobSpy
Psycopg2

Work Experience

My professional journey and the companies I've worked with

April 2024 - January 2025
Research Assistant
Northern Kentucky University

Led research on sentiment analysis and data processing for ISCAP Conference Papers.

Key Responsibilities:

  • Built and fine-tuned a DistilBERT model to analyze 21 million Rate My Professor reviews with 86% sentiment accuracy
  • Implemented automated data pipelines using Kafka and Python, reducing manual data processing time by 40%
  • Reduced model training time by 20% by optimizing dataset preprocessing with PySpark
  • Leveraged NLTK and advanced algorithms to identify trends, predict performance, and inform data-driven decisions
Python
DistilBERT
PySpark
NLTK
Kafka
Data Processing
May 2023 - April 2024
Systems Analyst
Fidelity Investments

Provided technical support and data management for Salesforce platform and related systems.

Key Responsibilities:

  • Troubleshot and debugged 150+ technical requests every month, including Apex code, SQL queries, and integration issues
  • Updated 1 million+ records across systems using SQL and Data Loader, ensuring 100% data accuracy during integrations
  • Generated 10+ dashboards and 50+ reports using SQL queries and salesforce tools, improving efficiency by 25%
  • Authored 10+ comprehensive documents on processes, troubleshooting procedures and code for team collaboration
Salesforce
SQL
Apex
Data Migration
Reporting
Documentation
April 2023 - December 2024
IT Help Desk Technician
Northern Kentucky University

Provided front-line technical support for faculty, staff, and students across the university.

Key Responsibilities:

  • Provided front-line support and troubleshooting for 1000+ faculty, staff, and students
  • Resolved complex network-related issues such as VPN, network mapping, device connectivity achieving 95% resolution rate
  • Responded to Help Desk tickets and prioritized issues, exceeding SLA response times
  • Supported network infrastructure updates across campus, ensuring minimal downtime in the campus area
Network Troubleshooting
VPN
Help Desk
Technical Support
IT Infrastructure
January 2024 - May 2024
Java Teaching Assistant
Northern Kentucky University

Mentored students in Java programming and delivered lectures on core programming concepts.

Key Responsibilities:

  • Delivered 10+ engaging lectures on core Java concepts, including OOP, algorithms, and data structures
  • Conducted 1:1 session for 20+ students, improving their understanding of object-oriented programming
  • Mentored 20+ students in Java programming, resulting in 90% pass rate
  • Facilitated practical coding exercises leading to 100% student project completion rates
Java
OOP
Data Structures
Algorithms
Teaching
Mentoring
May 2022 - April 2023
Microsoft 365 Support Ambassador
Education at Work

Managed and resolved technical issues in Microsoft 365 environment for users.

Key Responsibilities:

  • Managed and resolved technical issues in Microsoft 365 with a 95% customer satisfaction rate
  • Administered user access control for over 1000s of users through Microsoft Admin Center and Azure Active Directory
  • Configured and maintained Microsoft Exchange domains and mail servers, achieving 99.9% email uptime
  • Provided support to new technicians, supporting them in handling complex technical issues and service standards
Microsoft 365
Azure Active Directory
Microsoft Exchange
Technical Support
User Management

Leadership

My experiences leading teams and initiatives in the tech community

Vice-President
College of Informatics Ambassadors
Northern Kentucky University

Led outreach programs to enhance student engagement and resources at NKU.

Key Achievements:

  • Led 10+ technical workshops and recruitment events engaging 500+ students
  • Organized informatics-related events to promote technology education
  • Represented the College of Informatics at university and community events
  • Collaborated with faculty and staff to improve student resources and opportunities
STEM Peer Mentor
Northern Kentucky University
2022 - 2024

Mentored first-year STEM students, providing academic guidance and support.

Key Achievements:

  • Mentored 70+ first-year STEM students over 2 years
  • Provided academic guidance and support to help students succeed in their courses
  • Organized study groups and review sessions for challenging STEM subjects
  • Helped students navigate university resources and opportunities
Treasurer & Founding Member
Norse of Nepal
Northern Kentucky University

Managed budgets and resources to organize cultural events at the university.

Key Achievements:

  • Managed budgets and resources to organize cultural events, engaging 150+ students
  • Promoted cultural diversity and awareness on campus
  • Organized Nepalese cultural celebrations and educational events
  • Facilitated connections between Nepalese students and the broader university community

Get In Touch

Have a question or want to work together? Feel free to contact me!

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Location
Cincinnati, OH
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