Ribhay Singh | Portfolio

Experience

Software Engineer Intern – Initialyze

June 2024 – August 2024 · San Francisco Bay Area

Led a Data Ingestion Project to acquire and integrate data from the company’s website into Adobe Experience Platform using Dataflow UI and APIs, ensuring pipeline stability.
Leveraged Adobe Experience Platform tools and MySQL to thoroughly analyze and interpret data.
Contributed to schema creation and data governance processes within AEP's Experience Data Model.
Delivered internal documentation and conducted an all-inclusive walkthrough session to onboard developers onto the AEP workflow.

Projects

EchoMind AI

An AI-powered journaling tool with voice input, emotion-aware insights, and mental health reflections.

Used OpenAI's GPT-3.5 to summarize journal entries with emotional insight
Built RESTful API using FastAPI for submission and retrieval
Stored historical data with SQLite
Built real-time input frontend using Streamlit

Customer Churn Prediction Model

An end-to-end ML model to predict churn using the Telco Customer dataset from Kaggle.

Cleaned and preprocessed data, engineered features
Used Random Forest, Logistic Regression, and XGBoost for modeling
Achieved 80% accuracy with high ROC-AUC

Real Estate Price Prediction Model

A regression-based ML model to predict housing prices using a public Kaggle dataset.

Used Multiple Linear Regression with cleaned and preprocessed data
Performed EDA to detect trends and outliers
Built HTML/CSS frontend for input and predictions
Deployed with Flask backend

World Happiness Report Analysis

A cross-language data analysis of the 2019 World Happiness Report
using R and Python to uncover factors influencing global happiness.

Performed analysis in R with dplyr and ggplot2
Replicated project in Python using pandas, NumPy, and Matplotlib
Explored economic, social, and governmental influences on happiness
Used visualization and regression to reveal trends and patterns

Project Tracker App (JavaFX, MVC)

A project management tool built for developers to track lifecycle, deliverables, and timelines more effectively.

Built a rich, user-friendly interface using JavaFX
Used MVC architecture to ensure modularity and reusability
Tracked project names, stages, and deliverables for efficient planning
Leveraged GitHub for version control and team collaboration

Personal Portfolio Website

A sleek, responsive portfolio website to showcase my projects, experience, and skills.

Designed and developed using HTML, CSS, and JavaScript
Deployed via Vercel for fast and free hosting
Integrated smooth animations using AOS.js and Typed.js
Included sections for about, experience, projects, skills and resume

Skills

Languages

Python, R, SQL, Java, C, C++, HTML, CSS, JavaScript

Libraries & Frameworks

pandas, NumPy, scikit-learn, TensorFlow, PyTorch, seaborn, Matplotlib

Tools & Platforms

Git, GitHub, VS Code, Eclipse, Power BI, Tableau, Adobe Experience Platform

Machine Learning

Model building, evaluation, hyperparameter tuning, deployment

NLP

Text preprocessing, sentiment analysis, LLMs

Software Engineering

Agile, TDD, SOLID Principles, DSA

Databases

Relational DB design, SQL queries, optimization

Mathematics

Statistics, Probability, Linear Algebra

About Me