def train(data):
    model = Sequential()
    model.add(Dense(128))
    model.fit(data)
    return model
SELECT user_id, count(*)
FROM events
WHERE date > '2024-01-01'
GROUP BY user_id;
import pandas as pd
df = pd.read_csv('data.csv')
print(df.describe())
public class Main {
  public void main() {
    System.out.println("Hi");
  }
}

AARYAN SINGH

DATA SCIENTIST

> MACHINE LEARNING SPECIALIST

ABOUT_SYSTEM

A passionate computer scientist with a strong foundation in data science and machine learning. My expertise lies in developing intelligent systems, analyzing complex datasets, and creating predictive models to solve real-world problems.

I thrive in environments that challenge me to learn and innovate, constantly seeking to expand my skills and push the boundaries of what's possible with technology.

M.S. in Computer Science

University of Southern California | 2022-2024

Data Science Intern

Tech Solutions Inc. | Summer 2023

B.Tech in Computer Engineering

Delhi Technological University | 2018-2022

PROJECT_ARCHIVES

Sentiment Analysis Engine

A deep learning model using NLP techniques to classify text sentiment with over 95% accuracy. Deployed as a scalable REST API.

Real-time Object Detection

Implemented a YOLOv4-based system for real-time object detection in video streams, optimized for performance on edge devices.

Customer Churn Prediction

Developed a machine learning pipeline to predict customer churn, enabling proactive retention strategies. Utilized feature engineering and model stacking.

TECHNICAL_SKILLS

CORE COMPETENCIES

Python Development
Rapid Prototyping
API Development

MACHINE LEARNING

Machine Learning
Neural Networks
NLP & Transformers

FRAMEWORKS & LIBRARIES

TensorFlow
Keras
PyTorch
PyTorch Lightning
Scikit-Learn
React
Node.js
Flask

CODE_LANGUAGES

Python

Experience: 5.0 Yrs

def greet(): return "Hi"

Java

Experience: 3.0 Yrs

public String greet() { return "Hi"; }

JavaScript

Experience: 2.5 Yrs

function greet() { return "Hi"; }

CONTACT_INTERFACE

TRANSMISSION DETAILS

Location: Arlington, VA

Digital Comm: singh.aaryan@gmail.com

Frequency: Available on request

ALTERNATIVE CHANNELS

SEND TRANSMISSION