sjvinay357@gmail.com
vinay@northeastern: ~

Hi, my name is

Vinay Varshigan S.J

|

Master's student in Computer Science at Northeastern University with a perfect 4.0 GPA. Passionate about building intelligent systems that solve real-world problems through Machine Learning, Data Engineering, and Cloud Technologies.

Vinay Varshigan

01. About Me

python about_me.py
class VinayVarshigan:
    def __init__(self):
        self.name = "Vinay Varshigan S.J"
        self.location = "Portland, Maine"
        self.education = {
            "degree": "MS Computer Science",
            "university": "Northeastern University",
            "gpa": 4.0,
            "role": "TA for Algorithms (CS5800)"
        }
        self.interests = [
            "Machine Learning",
            "Data Engineering",
            "Natural Language Processing",
            "Cloud Architecture"
        ]
    
    def get_current_focus(self):
        return [
            "Advanced ML models & NLP projects",
            "Scalable data engineering solutions",
            "Cloud-native architecture on AWS"
        ]

Currently serving as a Teaching Assistant for Algorithms at Northeastern University, I bring hands-on experience in building scalable data pipelines, ML models, and cloud infrastructure. My work spans from automating data validation workflows (achieving 60% processing time reduction) to developing real-time AI systems for wildlife detection and smartphone recommendations.

I've published research on blockchain and AI-based fraud detection with Routledge, won a Best Paper Award for heart disease prediction, and have a patent under review for an AWS-deployed IoT water monitoring system.

Fun fact: I automated data validation workflows so well that I saved 60% processing time—now I automate everything, even my coffee breaks!

Languages

  • Python
  • Java
  • SQL

Data Science

  • Machine Learning
  • Deep Learning (CNNs, Transformers)
  • Natural Language Processing
  • PyTorch & TensorFlow

Data Engineering

  • ETL Pipelines
  • MySQL & SQL Optimization
  • Docker & Linux
  • AWS (EC2, VPC, Auto Scaling)

Analytics

  • Power BI & DAX
  • Pandas & NumPy
  • Data Visualization
  • KPI Dashboards

02. Where I've Worked

Teaching Assistant @ Northeastern University

January 2026 - Present

  • Supporting graduate-level Algorithms course (CS5800), helping students master advanced computational problem-solving techniques
  • Conducting office hours, grading assignments, and providing detailed feedback to enhance student learning
  • Collaborating with faculty to develop course materials and assessment strategies

Data Scientist Intern @ Besant Technologies

February 2025 - August 2025

  • Automated MySQL data validation, preprocessing, and feature training using Python (Pandas and NumPy), eliminating manual checks and achieving 60% reduction in processing time
  • Performed exploratory data analysis (EDA), feature engineering, and SQL query optimization to address slow data retrieval, reducing query latency by 20% through schema redesign and indexing
  • Cleaned and clustered genomics datasets and created interactive Power BI dashboards to deliver actionable research insights

Secretary & Creative Group Head @ SVCE CyberHub

April 2023 - December 2024

  • Led cross-functional student teams to plan and execute hackathons and technical events, increasing student engagement and peer-to-peer technical collaboration
  • Directed creative and digital strategies using analytics and design tools to improve online visibility
  • Drove a threefold increase in social media engagement through data-driven creative strategies

Software Developer Intern @ Bluebase Software Solutions

June 2023 - July 2023

  • Designed and deployed scalable cloud infrastructure using AWS (VPC, EC2, Auto Scaling) under senior engineer guidance to handle variable traffic loads
  • Automated deployment and maintenance workflows using Linux scripts, reducing manual effort and eliminating errors
  • Contributed to the design and delivery of software documentation and knowledge-sharing sessions, improving team alignment and onboarding efficiency

03. Featured Projects

Smart Food Solutions

AI-powered food & allergen detection system using ResNet50 and InceptionV3 with Nutritionix API integration. Achieved 93% accuracy for real-time allergen identification and nutritional insights.

  • Python
  • ResNet50
  • InceptionV3
  • REST API

Retail Sales Dashboard

Interactive Power BI dashboard with DAX measures for tracking sales, orders, and business KPIs. Includes data cleaning, transformation, and professional visualizations for stakeholder insights.

  • Power BI
  • DAX
  • Data Visualization

E-commerce Text Classification

Scalable text classification system using Facebook's FastText with subword embeddings. Robust handling of misspelled and OOV words for production-ready e-commerce applications.

  • Python
  • FastText
  • NLP
  • Embeddings

04. Publications & Patents

Routledge Book Chapter

Blockchain, Smart Contracts, and AI-Based Fraud Detection

Published by Routledge

Published

Best Paper Award

Heart Disease Prediction Using Decision Tree, Naive Bayes, and Random Forest

83% Accuracy Achieved

Award Winner

Patent Application

AWS-Deployed IoT Water Monitoring System

Comprehensive environmental monitoring solution

Under Review

Certifications

05. Get In Touch

Let's Build Something Amazing Together!

I'm currently open to NLP, Software Engineering, or AI/ML internships. Whether you have a question, want to collaborate on a project, or just want to say hi, my inbox is always open!

Location

Portland, Maine