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Rahul Sonti Email & Phone Number

Quantitative Strategist Senior Analyst @ Deutsche Bank at Deutsche Bank
Location: New York, New York, United States 6 work roles 3 schools
1 work email found @db.com LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 100%

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Current company
Role
Quantitative Strategist Senior Analyst @ Deutsche Bank
Location
New York, New York, United States

Who is Rahul Sonti? Overview

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Quick answer

Rahul Sonti is listed as Quantitative Strategist Senior Analyst @ Deutsche Bank at Deutsche Bank, based in New York, New York, United States. AeroLeads shows a work email signal at db.com and a matched LinkedIn profile for Rahul Sonti.

Rahul Sonti previously worked as Quantitative Strategist Senior Analyst at Deutsche Bank and Data Scientist at Deutsche Bank. Rahul Sonti holds Master Of Science - Ms, Data Analytics Engineering from George Mason University.

Company email context

Email format at Deutsche Bank

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{first}.{last}@db.com
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AeroLeads found 1 current-domain work email signal for Rahul Sonti. Compare company email patterns before reaching out.

Profile bio

About Rahul Sonti

I have a breadth and depth in aspects of Data Science, Machine Learning, Big Data, Computer Science, and technology development. My research interests are in the areas of Big Data, Natural Language Processing, Computer Vision, Applied Data Mining, and Machine Learning.Specialties: Data Visualization, and Presentation, Database Management, and Architecture, Data Mining, Statistical Analysis and, and Learning Algorithms. Proficient in Python, R, SQL, Tableau, Java, C, and C#.

Listed skills include R, Nlp, Data Science, Linear Regression, and 27 others.

Current workplace

Rahul Sonti's current company

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Deutsche Bank
Deutsche Bank
Quantitative Strategist Senior Analyst @ Deutsche Bank
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6 roles

Rahul Sonti work experience

A career timeline built from the work history available for this profile.

Quantitative Strategist Senior Analyst

Current

Frankfurt Am Main, Hessen, DE

Aug 2023 - Present

Data Scientist

Frankfurt Am Main, Hessen, DE

Jun 2021 - Aug 2023

Machine Learning Engineer Intern

Austin, Texas, US

  • Conducted EDA (Python) and built ETL Pipelines (Oracle SQL, ethereum-etl, CoinGeckoAPI) to identify on-chain network trends.
  • Calculated Feature importance scores to perform dimensionality reduction, and to increase the efficiency of the data for developing the regression model.
  • Individually developed LSTM (RNN) to improve Accuracy on closing price predictions of 42 cryptocurrencies by 12%.
  • Led technical research into Layer-2 scaling solutions and arbitrage, file storage protocols, and generalized DeFi.
May 2020 - Jan 2021

Data Analyst Intern

Fairfax, Virginia, US

  • Extracted, and labeled the Twitter Disinformation data for developing a false propaganda classification model.
  • Carried out Language distributions and balanced the datasets for performing multi-variable regression analysis.
  • Queried the data into databases for faster analysis using sqlite3 library and embedded the categorical data(tweets) using BERT Tokenizer to get the token IDs, and attention masks.
  • Consolidated token IDs, attention masks, and labels into a TensorDataset and fed this dataset to the BERT-uncased classification model that yielded a prediction accuracy of 88.3% in identifying false propaganda in.
Aug 2020 - Dec 2020

Graduate Research Assistant

Fairfax, Virginia, US

  • Consolidated Transparency reports, and datasets into one individually for multiple tiers of organizations including Twitter, Google, Facebook, and others based on the organization's scalability using Microsoft Excel.
  • Developed visualizations and generated reports using Tableau for better data insights.
  • Web-scraped an NGO’s website using BeautifulSoup4 library and used SQLite3 and Regular Expressions (re) to aggregate and structure the datasets.
Dec 2019 - Dec 2020

Research Intern

Keshav Memorial Institute Of Technology
  • Successfully built a remote-control vehicle that ran on DragonBoard 410Cmicrocontroller to capture images at remote locations.
  • Utilized Azure IOT Hub as part of the process.
  • Developed a Windows store application with a User-Interface using C# XAML libraries for the vehicle operation.
  • Developed Windows store application with core IOT libraries for the transmission of messages.
Mar 2017 - Dec 2018
Team & coworkers

Colleagues at Deutsche Bank

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3 education records

Rahul Sonti education

Master Of Science - Ms, Data Analytics Engineering

George Mason University

Bachelor Of Technology - Btech, Computer Science

Jawaharlal Nehru Technological University, Hyderabad

Education record

Kendriya Vidyalaya
FAQ

Frequently asked questions about Rahul Sonti

Quick answers generated from the profile data available on this page.

What company does Rahul Sonti work for?

Rahul Sonti works for Deutsche Bank.

What is Rahul Sonti's role at Deutsche Bank?

Rahul Sonti is listed as Quantitative Strategist Senior Analyst @ Deutsche Bank at Deutsche Bank.

What is Rahul Sonti's email address?

AeroLeads has found 1 work email signal at @db.com for Rahul Sonti at Deutsche Bank.

Where is Rahul Sonti based?

Rahul Sonti is based in New York, New York, United States while working with Deutsche Bank.

What companies has Rahul Sonti worked for?

Rahul Sonti has worked for Deutsche Bank, Token Metrics, George Mason University, and Keshav Memorial Institute Of Technology.

Who are Rahul Sonti's colleagues at Deutsche Bank?

Rahul Sonti's colleagues at Deutsche Bank include Aastha Joshi, Andrey Skroznikov, Mba, Mathew George, Likhith Sai Bayireddi, and Ashley Thomas.

How can I contact Rahul Sonti?

You can use AeroLeads to view verified contact signals for Rahul Sonti at Deutsche Bank, including work email, phone, and LinkedIn data when available.

What schools did Rahul Sonti attend?

Rahul Sonti holds Master Of Science - Ms, Data Analytics Engineering from George Mason University.

What skills is Rahul Sonti known for?

Rahul Sonti is listed with skills including R, Nlp, Data Science, Linear Regression, Data Analysis, Predictive Analytics, Social Engineering, and Deep Learning.

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