AeroLeads people directory · profile

Manan Shah Email & Phone Number

Manager, Machine Learning at Upstart at Upstart
Location: Greater Minneapolis-St. Paul Area, United States, United States 11 work roles 2 schools
1 work email found @mu-sigma.com 3 phones found area 847 and 770 LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email · 3 phones

Work email m****@mu-sigma.com
Direct phone (847) ***-****
LinkedIn Profile matched
3 free lookups remaining · No credit card
Current company
Role
Manager, Machine Learning at Upstart
Location
Greater Minneapolis-St. Paul Area, United States, United States

Who is Manan Shah? Overview

A concise factual answer block for searchers comparing this professional profile.

Quick answer

Manan Shah is listed as Manager, Machine Learning at Upstart at Upstart, based in Greater Minneapolis-St. Paul Area, United States, United States. AeroLeads shows a work email signal at mu-sigma.com, phone signal with area code 847, 770, and a matched LinkedIn profile for Manan Shah.

Manan Shah previously worked as Manager, Machine Learning at Upstart and Staff Data Scientist at Upstart. Manan Shah holds Master Of Science (Ms) Industrial Engineering, Operations Research from University Of Wisconsin-Madison.

Company email context

Email format at Upstart

This section adds company-level context without repeating Manan Shah's masked contact details.

{first}.{last}@mu-sigma.com
86% confidence

AeroLeads found 1 current-domain work email signal for Manan Shah. Compare company email patterns before reaching out.

Profile bio

About Manan Shah

I completed my undergraduate studies at BITS Pilani and completed my MS degree in Industrial engineering, with a focus on Operations Research from UW- Madison in May 2015. Currently I work as a ML manager at Upstart. I am leading a team focussed on the product side of Personal Loans Underwriting at Upstart. I am a US citizen.Specialties: Tools and software: Git, Linux, R (Shiny), SAS, SQL , Excel, Tableau, Python, Apache Spark, MATLAB, Minitab, HadoopDatabases: Redshift, Hive, Teradata, Oracle, PostgresStatistical/Machine learning techniques: Linear regression, Logistic regression, Decision Tree learning, Random Forest, Support Vector Machines, Stochastic Gradient Boosting, Neural Networks , Deep learning ,k means clustering, hierarchical clustering, k folds cross validation, ensemble methods, text mining, bag of words approach to NLP, A/B testing, Design of Statistical experiments, Linear programming, ANOVAPackages: R - tidyverse, ggplot, caret, randomForest, xgboost, gbm, glm, e1071, rpart, ROCRPython- numpy,pandas, scikit-learn, pyspark, beautiful soup, keras, pytorch, fastai, nltk, word2vec, fuzzywuzzyhttps://github.com/mananshah1https://www.kaggle.com/msshah3

Listed skills include Matlab, Data Mining, Algorithms, Machine Learning, and 15 others.

Current workplace

Manan Shah's current company

Company context helps verify the profile and gives searchers a useful next step.

Upstart
Upstart
Manager, Machine Learning at Upstart
Website
AeroLeads page
11 roles

Manan Shah work experience

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

Manager, Machine Learning

Current

San Mateo, CA, US

Oct 2023 - Present

Staff Data Scientist

San Mateo, CA, US

Feb 2023 - Oct 2023

Senior Data Scientist

San Mateo, CA, US

Sep 2021 - Jan 2023

Data Scientist

3M

St Paul, MN, US

Machine Learning and Advanced Analytics

Jun 2019 - Aug 2021

Sr Data Scientist

Minneapolis, MN, US

AB/Multivariate Testing, Statistical analysis

Jun 2017 - May 2019

Data Analyst

Santa Monica, CA, US

  • Data Analyst on the Product Analytics team at Edmunds
  • Integral part of Edmunds 2017 launch team- providing reports on Tableau Executive suite and weekly presentations to key stakeholders in the company
  • Key member of team which did a deep dive of dealers leads performance.
  • Provide key analyses which resulted in dealers leads anti spamming rules in Jul ‘16
  • Provide regular analyses on A/B tests and provide recommendations to product owners
  • Utilized R to do hourly forecasting of dealers leads performance and enhance existing reporting to drill down by specific search types
Mar 2016 - May 2017

Decision Scientist

Northbrook, IL, US

  • Completed a project on fraud detection patterns by problem mapping, hypothesis testing and analyzing large datasets utilizing SAS and R.
  • Responsibilities included leading a global team and conducting various ad- hoc analyses and long term projects for stakeholders in the paid search marketing division of Microsoft
  • Utilize in house Big Data platform daily to work with extremely large datasets, manipulate the datasets and answer business questions through hypotheses testing, industry knowledge and insight generation.
Jul 2015 - Mar 2016

Supply Chain Managment Program Intern

Houston, Texas, US

  • Implemented the first automated warehousing system (vertical carousel) at Carrollton by coordinating the move from Houston with the contractor and personnel at both facilities.
  • Developed the logic for stocking the vertical carousel using SAP.
  • Created a visual management system to improve ergonomics and reduce risks of muscle strains.
  • Documented management of change, standard work and job safety analysis.
  • Increased storage capacity of warehouse by 20.5% and reduced pick time by 28% resulting in annual savings of $37000
May 2014 - Aug 2014

Continuous Improvement Student Consultant

Madison, WI, US

  • Implemented Kaizen and utilized six sigma DMAIC methodology to identify and eliminate bottlenecks in the onboarding process.
  • Achieved a 20% reduction in time taken to enter applicant data during the onboarding process
Sep 2013 - Dec 2013

Thesis Student

Atlanta, Georgia, US

  • Thesis in supply chain management under Professor Leonid Bunimovich
  • Developed algorithms for solving the problem of partitioning workers into teams to optimize the rate of production.
  • Implemented the algorithms on MATLAB
Aug 2012 - May 2013

Summer Intern

Delft, NL

  • Undergraduate Research in game theory under Dr. Robbert Fokkink
  • Studied a zero sum game that has remained unsolved for 28 years and analyzed a finite version of the game.
  • Utilized MATLAB to determine the solution of the finite version of the game.
Jun 2011 - Jul 2011
Team & coworkers

Colleagues at Upstart

Other employees you can reach at upstart.com. View company contacts →

2 education records

Manan Shah education

Master Of Science (Ms) Industrial Engineering, Operations Research

University Of Wisconsin-Madison

B.E. Electronics And Instrumentation, M.Sc Mathematics

Birla Institute Of Technology And Science, Pilani
FAQ

Frequently asked questions about Manan Shah

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

What company does Manan Shah work for?

Manan Shah works for Upstart.

What is Manan Shah's role at Upstart?

Manan Shah is listed as Manager, Machine Learning at Upstart at Upstart.

What is Manan Shah's email address?

AeroLeads has found 1 work email signal at @mu-sigma.com for Manan Shah at Upstart.

What is Manan Shah's phone number?

AeroLeads has found 3 phone signal(s) with area code 847, 770 for Manan Shah at Upstart.

Where is Manan Shah based?

Manan Shah is based in Greater Minneapolis-St. Paul Area, United States, United States while working with Upstart.

What companies has Manan Shah worked for?

Manan Shah has worked for Upstart, 3M, Target, Edmunds.Com, and Mu Sigma Inc..

Who are Manan Shah's colleagues at Upstart?

Manan Shah's colleagues at Upstart include Mahesh Chowdary, Chloe S., Joseph Coplan, Marcos Gutierrez, and Rylesha Gause.

How can I contact Manan Shah?

You can use AeroLeads to view verified contact signals for Manan Shah at Upstart, including work email, phone, and LinkedIn data when available.

What schools did Manan Shah attend?

Manan Shah holds Master Of Science (Ms) Industrial Engineering, Operations Research from University Of Wisconsin-Madison.

What skills is Manan Shah known for?

Manan Shah is listed with skills including Matlab, Data Mining, Algorithms, Machine Learning, Statistics, C++, Data Analysis, and Simulations.

Find 750M verified contacts

Search by job title, company, industry, location, and seniority. Export verified B2B contact data when you need it.