Quant Researcher at a Mid-Frequency Trading firm
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Assessing your cultural and operational fit
Trexquant
Data Scientist
June 16, 2026 – Present
Amazon-Scraped-Reviews-and-Analysis
April 16, 2019 – April 16, 2019
Amazon-Scraped-Reviews-and-Analysis — GitHub repository
View ProjectLink-Prediction-using-Graph-AutoEncoders.
April 7, 2019 – April 7, 2019
Link-Prediction-using-Graph-AutoEncoders. — GitHub repository
View ProjectFlipkart-Bounding-Box-Detection-
April 7, 2019 – April 7, 2019
Used the Resnet architecture along with Mean Squared Error to predict the bounding box coordinates for an object in an image.
View ProjectCredit-Card-Fraud-Detection
March 24, 2019 – April 6, 2019
•An Autoencoder Neural Network (implemented in Keras) was used in unsupervised (or semi-supervised) fashion for Anomaly Detection in credit card transaction data. •The trained model was evaluated on pre-labeled and anonymized dataset.
View ProjectIMDB-Sentiment-Analysis
February 15, 2019 – March 6, 2019
Predicting the sentiment of a movie review using Stochastic Gradient Descent Classifier.
View Projectweb-scraping-in-python
January 18, 2019 – January 18, 2019
Learning the ropes of extracting data using Beautiful Soup and Scrapy
View ProjectJanuary 6, 2019 – April 7, 2019
Fetched tweets using Tweepy, did some sentiment analysis for a start using textblob. Now , moving on to better things.
View ProjectForged_Sign_Detect
October 24, 2018 – October 31, 2018
Forged_Sign_Detect — GitHub repository
View ProjectCultural Fit Analysis
The candidate's personal projects show a broad interest in different data science applications, which could indicate adaptability and a proactive learning attitude. However, the lack of team-based projects or contributions makes it difficult to assess collaboration or broader cultural fit. The current role at Trexquant aligns with the target role, suggesting a good fit in terms of professional direction.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.