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
MACHINE LEARNING
FRAMEWORKS & LIBRARIES
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