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Divya Parmar Email & Phone Number

Senior Quantitative Analyst at Freddie Mac
Location: San Francisco Bay Area, United States 8 work roles 2 schools
1 work email found @anki.com 5 phones found area 408 and 415 LinkedIn matched
✓ Verified August 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email · 5 phones

Work email d****@anki.com
Direct phone (408) ***-****
LinkedIn Profile matched
3 free lookups remaining · No credit card
Current company
Role
Senior Quantitative Analyst
Location
San Francisco Bay Area, United States
Company size

Who is Divya Parmar? Overview

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Quick answer

Divya Parmar is listed as Senior Quantitative Analyst at Freddie Mac, a with 11232 employees, based in San Francisco Bay Area, United States. AeroLeads shows a work email signal at anki.com, phone signal with area code 408, 415, and a matched LinkedIn profile for Divya Parmar.

Divya Parmar previously worked as Data Analytics Tech Lead, Machine Learning at Freddie Mac and Data Science Intern at Trash Warrior. Divya Parmar holds Master Of Science - Ms, Data Science from The George Washington University.

Company email context

Email format at Freddie Mac

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{first}@anki.com
86% confidence

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

Profile bio

About Divya Parmar

I am a seasoned data professional with a proven track record in leveraging machine learning and data engineering to drive business success. My career spans diverse industries, where I've played a pivotal role in optimizing mobile game performance, analyzing product usage trends, and developing predictive models to reduce costs. I have successfully deployed machine learning models to identify anomalies and streamline operations, showcasing my ability to deliver actionable insights and automate complex processes.My expertise extends to developing Python scripts for statistical analysis, implementing SQL queries on large datasets, and creating intuitive dashboards for organization-wide usage. Throughout my career, I've collaborated seamlessly with cross-functional teams, leading process improvements and spearheading automation initiatives to enhance overall efficiency. With a strong foundation in data analytics and a focus on machine learning applications, I bring a wealth of experience to any role requiring a blend of technical proficiency and strategic thinking.You can learn more about my project work on GitHub (https://github.com/dparmar16/) or on my blog (http://divyaparmar.com/).

Listed skills include Research, Data Analysis, Microsoft Excel, Statistics, and 27 others.

Current workplace

Divya Parmar's current company

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

Freddie Mac
Freddie Mac
Senior Quantitative Analyst
Sacramento, CA, US
Website
Employees
11232
AeroLeads page
8 roles

Divya Parmar work experience

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

Senior Quantitative Analyst

Sacramento, Ca, Us

Data Analytics Tech Lead, Machine Learning

Current

Mclean, Va, Us

Jun 2022 - Present

Data Science Intern

San Francisco, California, Us

-Developed revenue forecasting model using Python time series libraries, predicting future revenue within 1% actuals-Created cohort revenue analysis using SQL and Google BigQuery, saving 10+ hrs of Excel analysis-Automated reporting using Zapier and Coupler, reducing manual analysis by 20+ hrs/month-Developed new sales metrics to track business development in collaboration with Business Operations team

May 2021 - Jul 2021

Analyst

Washington, Dc, Us

-Developed logistic regression model to predict mailing responses, decreasing costs by 20% via efficient targeting-Led team process improvements such as implementing AWS s3 to handle 10GB+ files from partner organizations and setting up GitHub to enable team-wide code reviews-Spearheaded data pipeline improvements, using Python and bash scripts to automate daily dashboard refreshes -Wrote Stata scripts to pre-process data for voter mailings and set up A/B testing to experiment with mail copy

Sep 2019 - Mar 2021

Product Analyst

San Francisco, Ca, Us

-Primary product analyst for Vector robot, serving as point of contact for executives, marketing, engineering, and design-Wrote and executed SQL scripts to analyze Vector usage trends and implement within Airflow framework-Conducted statistical analysis of robot usage trends in R to influence product decision making, yielding engineer-implemented changes to battery charge cycle-Created Tableau and Mode Analytics dashboards for organization-wide usage, tracking KPIs such as user sessions, time with robot, and activity types for product managers and marketing

Aug 2018 - May 2019

Data Analyst

Victoria, British Columbia, Ca

-Primary analyst for War Commander: Rogue Assault mobile game (multi-million dollar grossing title)-Developed Python scripts to conduct statistical analysis of A/B tests and provided results used by product team to decide on 20+ tests, resulting in increased player retention of multiple percentage points in mobile video game-Built and implemented SQL queries to analyze user data, utilizing billions of records in Snowflake data warehouse to identify weak points in new user experience which led to gameplay changes by design team-Created Tableau and Looker dashboards to track KPIs with daily usage by executives and game development team-Partnered with engineers, product managers, game designers, and QA to implement data logging and monitor data pipeline

Mar 2016 - Sep 2017

Insights & Data Consultant

Paris, France, Fr

-Using SQL, queried data stores to analyze and validate client data-Developed ETL processes to migrate data using SAP Business Objects Data Services-Worked cross-functionally with both technical and non-technical members of client team

Aug 2014 - Mar 2016

Fleet Statistics Intern

Meudon, Île-De-France, Fr

• Developed formulas to ensure accuracy of seat availability statistics• Using Excel VBA, generated key metrics macro for predicting availability trends• Created parts repairs projection matrix for use in budget allocation

Jun 2013 - Oct 2013
Team & coworkers

Colleagues at Freddie Mac

Other employees you can reach at freddiemac.com. View company contacts for 11232 employees →

2 education records

Divya Parmar education

Master Of Science - Ms, Data Science

The George Washington University

Bachelor Of Arts (B.A.), Economics, Minor In Statistics

Uc Irvine
FAQ

Frequently asked questions about Divya Parmar

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

What company does Divya Parmar work for?

Divya Parmar works for Freddie Mac.

What is Divya Parmar's role at Freddie Mac?

Divya Parmar is listed as Senior Quantitative Analyst at Freddie Mac.

What is Divya Parmar's email address?

AeroLeads has found 1 work email signal at @anki.com for Divya Parmar at Freddie Mac.

What is Divya Parmar's phone number?

AeroLeads has found 5 phone signal(s) with area code 408, 415 for Divya Parmar at Freddie Mac.

Where is Divya Parmar based?

Divya Parmar is based in San Francisco Bay Area, United States while working with Freddie Mac.

What companies has Divya Parmar worked for?

Divya Parmar has worked for Freddie Mac, Trash Warrior, Voter Participation Center, Anki, and Kixeye.

Who are Divya Parmar's colleagues at Freddie Mac?

Divya Parmar's colleagues at Freddie Mac include Denise Terrell, Keith H., Dianne Harris, Sagar Massetty, and Miriam Brown.

How can I contact Divya Parmar?

You can use AeroLeads to view verified contact signals for Divya Parmar at Freddie Mac, including work email, phone, and LinkedIn data when available.

What schools did Divya Parmar attend?

Divya Parmar holds Master Of Science - Ms, Data Science from The George Washington University.

What skills is Divya Parmar known for?

Divya Parmar is listed with skills including Research, Data Analysis, Microsoft Excel, Statistics, Analysis, Microsoft Office, Public Speaking, and Stata.

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