Siddharth Singh
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Siddharth Singh Email & Phone Number

Data Scientist | Analytics Lead at Morgan Stanley
Location: New York, New York, United States 6 work roles 3 schools
1 work email found @morganstanley.com LinkedIn matched
✓ Verified Jun 2026 4 data sources Profile completeness 100%

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Current company
Role
Data Scientist | Analytics Lead
Location
New York, New York, United States
Company size

Who is Siddharth Singh? Overview

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Quick answer

Siddharth Singh is listed as Data Scientist | Analytics Lead at Morgan Stanley, a company with 78669 employees, based in New York, New York, United States. AeroLeads shows a work email signal at morganstanley.com and a matched LinkedIn profile for Siddharth Singh.

Siddharth Singh previously worked as Data Science Intern at Codesters and Data Science Intern at Allianz Global Investors. Siddharth Singh holds Master Of Science - Ms, Information Systems, Gpa 3.85 / 4.0 from New York University.

Company email context

Email format at Morgan Stanley

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{first}.{last}@morganstanley.com
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Profile bio

About Siddharth Singh

Siddharth Singh is a Data Scientist | Analytics Lead at Morgan Stanley. He possess expertise in business intelligence, predictive analytics, tableau, microsoft office, microsoft excel and 39 more skills. He is proficient in English.

Listed skills include Business Intelligence, Predictive Analytics, Tableau, Microsoft Office, and 40 others.

Current workplace

Siddharth Singh's current company

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Morgan Stanley
Morgan Stanley
Data Scientist | Analytics Lead
new york, new york, united states
Employees
78669
AeroLeads page
6 roles

Siddharth Singh work experience

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

Data Scientist | Analytics Lead

Current

New York, New York, United States

  • Developed a recommendation engine to predict relevant financial products for clients leveraging collaborative filtering and content-based approaches, which helped the effectiveness of sales and marketing engagement
  • Implemented a classification model to predict client’s segmentation to help sales and marketing teams optimize their client engagement strategy
  • Implemented a lead generation model leveraging clustering algorithms on financial market investment data to identify clusters with top clients and generate new leads
  • Implemented a document classification model using Naïve Bayes algorithm to identify if the firm has any legal obligation in the contract, which significantly reduced legal team’s manual effort
  • Designed interactive dashboards leveraging Tableau, Python and Hadoop to better understand the business and identify growth opportunities, thereby facilitating strategic business decisions
  • Architected a business intelligence platform where key stakeholders can analyze in-house and 3rd party financial data using Tableau and Jupyter Notebook to generate insights and improve sales effectiveness
Aug 2017 - Present

Data Science Intern

New York, New York, United States

  • Implemented a classification model using SVM to predict student’s progress to the next level, leveraging data from coding sessions including actions, behaviors, time-on-task, errors, and outcomes, which helped optimize.
  • Architected an analytics platform leveraging Python, Django, D3.js, and MongoDB to analyze and quantify student’s learning outcome, which helped improve the effectiveness of the teaching platform
Jan 2017 - May 2017

Data Science Intern

Greater New York City Area

  • Implemented a regression model using Linear Regression to quantify correlation of sales with in-person and digital engagement, which helped sales and marketing teams optimize engagement strategies and reduce.
  • Researched and identified important investment categories for top clients by leveraging XGBoost model to predictsales using market investment data, which helped investment teams develop and launch new financial products
  • Led the implementation of big data analytics platform for key stakeholders to perform statistical analysis and designinteractive dashboards on sales, engagement, and relevant 3rd party data to identify potential sales.
  • Partnered with teams in Europe and Asia Pacific to define valuable technical business use cases, RFPs and key benchmarks to evaluate, implement and leverage the analytics platform, improving sales and marketing.
Jun 2016 - Dec 2016

Analytics Intern

New York, New York, United States

  • Architected a Predictive Model approach which could foresee major issues, based on past error log data, and then devised a roadmap to alleviate their impact and improve productivity
  • Collaborated with engineering and support teams to identify key areas of improvement and then designed cost effective resilient framework which significantly reduced the development platform downtime
  • Designed automation scripts, using Python, to simulate real world development scenarios and test the load taking capacity of different technology components
  • Designed innovative solutions to mitigate impact of production issues by utilizing log monitoring & analyses applications
  • Designed standard best-practices guidelines which would assist administrators and developers to leverage the development platform more efficiently
Jan 2016 - May 2016

Technology Analyst | Senior Software Engineer

Jaipur Area, India

  • Managed feature development for the direct customer facing ECommerce Website of this Fortune 500 Company using Agile Methodology and Test Driven Development approach
  • Communicated directly with business team for Requirement Gathering and Analysis, and collaborated with the engineering and design teams situated across geographically distributed locations to develop stupendous.
  • Enhanced user experience by delivering quintessential features like Dressing Room, Navigational Menus, Size Recommendation system and Customer Reviews using.NET technology on the server side and JQuery on the client side
  • Re-designed product page which improved page-load time by 1.4 times, provided easier content management system and enhanced user experience.
  • Spearheaded transition of the website from in-memory server caching to distributed caching.
  • Worked as a part of "SWAT team" to map out all the existing functional and non-functional issues on the web application, in order to minimize the site downtime.
Jul 2011 - Jul 2015

Software Engineer

New Delhi Area, India

  • Conducted extensive research by meeting with ground level engineers to identify major challenges they face during construction of a thermal power plant.
  • Created a web portal where current employees could collaborate with experienced ex-employees, who have more than 40 years of experience in this domain, to come up with cogent solutions to any roadblocks for on-going.
  • This portal was created using Java Server Pages (JSP) & Oracle and served as an innovative way in utilizing the vast experience of ex-employees.
  • This ingenious idea increased the overall operation's efficiency by 17 %.
May 2010 - Jun 2010
Team & coworkers

Colleagues at Morgan Stanley

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3 education records

Siddharth Singh education

Master Of Science - Ms, Information Systems, Gpa 3.85 / 4.0

Relevant Coursework: Predictive Modelling, Data Mining for Business Analytics, Algorithms, Digital Strategy, Marketing • M.S. in.

Bachelor Of Engineering - Be, Electrical And Electronics Engineering, Gpa 3.5 / 4.0

Relevant Coursework - Software Engineering, Object Oriented Programming and Data Structures, Economics, Database Systems • As the.

Mathematics, Physics, Chemistry, Computers, English

Delhi Public School - Ranipur, Haridwar

• Developed a project, Mobile World, which was basically a mobile catalog based on the current eCommerce business model. This catalog was.

FAQ

Frequently asked questions about Siddharth Singh

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

What company does Siddharth Singh work for?

Siddharth Singh works for Morgan Stanley.

What is Siddharth Singh's role at Morgan Stanley?

Siddharth Singh is listed as Data Scientist | Analytics Lead at Morgan Stanley.

What is Siddharth Singh's email address?

AeroLeads has found 1 work email signal at @morganstanley.com for Siddharth Singh at Morgan Stanley.

Where is Siddharth Singh based?

Siddharth Singh is based in New York, New York, United States while working with Morgan Stanley.

What companies has Siddharth Singh worked for?

Siddharth Singh has worked for Morgan Stanley, Codesters, Allianz Global Investors, Citi, and Infosys Ltd..

Who are Siddharth Singh's colleagues at Morgan Stanley?

Siddharth Singh's colleagues at Morgan Stanley include Samer Alsaydali, Christine Keene, Lourenço Martins De Arruda Câmara, Vandana Talreja, and Colleen Clancy-Cucuzzo.

How can I contact Siddharth Singh?

You can use AeroLeads to view verified contact signals for Siddharth Singh at Morgan Stanley, including work email, phone, and LinkedIn data when available.

What schools did Siddharth Singh attend?

Siddharth Singh holds Master Of Science - Ms, Information Systems, Gpa 3.85 / 4.0 from New York University.

What skills is Siddharth Singh known for?

Siddharth Singh is listed with skills including Business Intelligence, Predictive Analytics, Tableau, Microsoft Office, Microsoft Excel, Salesforce, Html, and Sql.

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