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Nidhi Pati Email & Phone Number

Staff Data Analyst at Collective Health
Location: San Francisco Bay Area, United States, United States 7 work roles 2 schools
1 work email found @collectivehealth.com LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email

Work email n****@collectivehealth.com
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Current company
Role
Staff Data Analyst
Location
San Francisco Bay Area, United States, United States
Company size

Who is Nidhi Pati? Overview

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Quick answer

Nidhi Pati is listed as Staff Data Analyst at Collective Health, a company with 419 employees, based in San Francisco Bay Area, United States, United States. AeroLeads shows a work email signal at collectivehealth.com and a matched LinkedIn profile for Nidhi Pati.

Nidhi Pati previously worked as Senior Data Analyst at Collective Health and Data Scientist at Dte Energy. Nidhi Pati holds Master Of Science - Ms, Data Science from University Of Michigan.

Company email context

Email format at Collective Health

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{first}.{last}@collectivehealth.com
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AeroLeads found 1 current-domain work email signal for Nidhi Pati. Compare company email patterns before reaching out.

Profile bio

About Nidhi Pati

Experienced Data Scientist with a demonstrated history of working in the utilities industry. Strong engineering professional with a Master of Science - MS focused in Data Science from University of Michigan.

Listed skills include Sql, Natural Language Processing, Big Data, Python, and 12 others.

Current workplace

Nidhi Pati's current company

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

Collective Health
Collective Health
Staff Data Analyst
san francisco, california, united states
Employees
419
AeroLeads page
7 roles

Nidhi Pati work experience

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

Staff Data Analyst

Current

San Francisco, California, United States

Jun 2024 - Present

Senior Data Analyst

San Francisco, California, United States

Mar 2022 - Jun 2024

Data Scientist

Downtown Detroit, Michigan, United States

Jun 2020 - Mar 2022

Data Science Co-Op

Downtown Detroit, Michigan, United States

  • Data Analysis & Machine Learning Tasks:Tools: Cloudera, Azure Databricks, Alteryx, SQL, PySpark, Power BI
  • Conducted statistical and descriptive exploratory data analysis to support Machine Learning activities
  • Performed univariate and bivariate exploratory and statistical analysis, detected anomalies and outliers in the data
  • Replicated data from Cloud Platform\ Customer Service Database and validated the accuracy and completeness of the data
  • Supported development, maintenance, and operation of Machine Learning algorithms
  • Converted Parquet files(coming from Cloudera) to csv files, used Spark DataFrame & libraries to create data pipelines
Sep 2019 - May 2020

Graduate Teaching Assistant

United States

- Assisted the professor for 'Information Systems Management' and 'ERP in SCM' courses (100 + 35 students)- Evaluated and graded assignments, group projects, reports and other course-related activities

Sep 2018 - Dec 2019

Database And Analytics Intern

Ann Arbor, Michigan

  • Relational Database Design & Statistical Analysis: Tools: SQL Server Management Studio(SSMS), JMP, Python, Minitab
  • Designed an RDB using SSMS, created a data dictionary and the relational tables associated with the database
  • Added constraints, validation rules to the relational tables. Created views and documented all processes
  • Developed a user interface to enable the user to insert data into relational tables and to generate analytical reports
  • Used JMP to extract the statistical summaries and presented to non-technical team
May 2019 - Aug 2019

Application Development Analyst

Hyderabad Area, India

Tools: SQL, Python, Openscript, Oracle database, MongoDB (JSON files - NoSQL), SourceTree – GIT, JenkinsDocument Parsing: - Honored with “Accenture Celebrates Excellence” award in 2017, in the individual category for implementing innovative technique for parsing PDF files to text documents and automating the evaluation processData Extraction and Analysis.

Aug 2014 - Aug 2018
Team & coworkers

Colleagues at Collective Health

Other employees you can reach at collectivehealth.com. View company contacts for 419 employees →

2 education records

Nidhi Pati education

Master Of Science - Ms, Data Science

Coursework: Database Systems and Information Management Data Modeling Big Data - Hadoop Implementation for Algorithms MapReduce.

Bachelor Of Technology - Btech, Instrumentation & Control Engineering

Activities and Societies: Indian Society for Technical EducationCoursework: Instrumentation Mathematics Computer Programming Switching.

FAQ

Frequently asked questions about Nidhi Pati

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

What company does Nidhi Pati work for?

Nidhi Pati works for Collective Health.

What is Nidhi Pati's role at Collective Health?

Nidhi Pati is listed as Staff Data Analyst at Collective Health.

What is Nidhi Pati's email address?

AeroLeads has found 1 work email signal at @collectivehealth.com for Nidhi Pati at Collective Health.

Where is Nidhi Pati based?

Nidhi Pati is based in San Francisco Bay Area, United States, United States while working with Collective Health.

What companies has Nidhi Pati worked for?

Nidhi Pati has worked for Collective Health, Dte Energy, College Of Business At Um-Dearborn, Macom, and Accenture.

Who are Nidhi Pati's colleagues at Collective Health?

Nidhi Pati's colleagues at Collective Health include Emily Gustaveson, Nora Mae Mesa, Trenton Vallace, Andrew Halpert, and Gregory Pollock.

How can I contact Nidhi Pati?

You can use AeroLeads to view verified contact signals for Nidhi Pati at Collective Health, including work email, phone, and LinkedIn data when available.

What schools did Nidhi Pati attend?

Nidhi Pati holds Master Of Science - Ms, Data Science from University Of Michigan.

What skills is Nidhi Pati known for?

Nidhi Pati is listed with skills including Sql, Natural Language Processing, Big Data, Python, Test Automation, Mongodb, Minitab, and Hadoop.

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