Moiz Saifee
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Moiz Saifee Email & Phone Number

Data Science | Venture Capital | IIT Kharagpur | Kaggle Master at Correlation Ventures
Location: Indore, Madhya Pradesh, India 4 work roles 1 school
1 work email found @correlationvc.com 3 phones found area 858 LinkedIn matched
✓ Verified July 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email · 3 phones

Work email m****@correlationvc.com
Direct phone (858) ***-****
LinkedIn Profile matched
3 free lookups remaining · No credit card
Current company
Role
Data Science | Venture Capital | IIT Kharagpur | Kaggle Master
Location
Indore, Madhya Pradesh, India
Company size

Who is Moiz Saifee? Overview

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Quick answer

Moiz Saifee is listed as Data Science | Venture Capital | IIT Kharagpur | Kaggle Master at Correlation Ventures, a with 29 employees, based in Indore, Madhya Pradesh, India. AeroLeads shows a work email signal at correlationvc.com, phone signal with area code 858, and a matched LinkedIn profile for Moiz Saifee.

Moiz Saifee previously worked as Partner, Analytics at Correlation Ventures and Principal, Analytics at Correlation Ventures. Moiz Saifee holds B.Tech., Computer Science And Engineering from Indian Institute Of Technology, Kharagpur.

Company email context

Email format at Correlation Ventures

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*@correlationvc.com
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AeroLeads found 1 current-domain work email signal for Moiz Saifee. Compare company email patterns before reaching out.

Profile bio

About Moiz Saifee

Seasoned Data Science leader with over 15 years of experience across various industries such as Venture Capital, Internet, Retail and Healthcare. Passionate about solving complex business problems using Artificial Intelligence. Track record of innovation and development of novel solutions. Bring in a unique blend of technological prowess and business acumen. Expertise in problem solving, modeling techniques/tools, big data, people management and all the other aspects of building powerful analytics solutions.Over the years, I wave worked on a very diverse set of problems across various domains:- Figuring out which investment opportunities (start-ups) are likely to deliver superior returns- Automated matching of a job / CV using textual description of the job / candidate- Fraud detection in Healthcare using insurance claims data- Differential pricing / discounts using customer demographic & behavioral data- Recommendation systems using transaction data - NLP & Computer vision applications using Deep Learning

Listed skills include Analytics, Predictive Analytics, Predictive Modeling, Sas, and 43 others.

Current workplace

Moiz Saifee's current company

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Correlation Ventures
Correlation Ventures
Data Science | Venture Capital | IIT Kharagpur | Kaggle Master
palo alto, california, united states
Employees
29
AeroLeads page
4 roles

Moiz Saifee work experience

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

Principal, Analytics

San Diego | Indore

Building selection model at the venture capital industry's predictive analytics pioneer.

Apr 2012 - Dec 2021

Associate Vice President - Analytics

New Delhi Area, India

Played an instrumental role in set-up of central Analytics team from scratch at Info Edge. Led the analytics & modeling projects for various portals under Info Edge - naukri.com, jeevansathi.com, 99acres.com, naukrigulf.com, shiksha.com etcBuilt models for various important business problems - Semantic matching of a job with a CV (text analytics) ; Prioritizing Tele-sales; Optimizing online marketing campaigns; Lead consumption; Search suggestions; Recommendations based on online behavior. Analytics base for features leveraging hidden knowledge in the data - iMatch, Job Speak, PayCheck etc.

Dec 2008 - Apr 2012

Analytic Science Scientist - Ii

Bengaluru Area, India

Healthcare: Led the development of innovative predictive models for Fraud detection in US Healthcare Industry at Fair Isaac India office. The Models were completely data driven and performed claim, provider and member centric analyses for identifying suspicious / fradulent transactions. Achieved solid results corroborated by Millions of Dollars of savings to the client and three patent applications. Retail: Worked on development of Retail Analytics Models used by Retail giants like Sam's Club. The Models provided customized recommendations for customers based on their purchase history and demographic.

Jun 2006 - Dec 2008
Team & coworkers

Colleagues at Correlation Ventures

Other employees you can reach at correlationvc.com. View company contacts for 29 employees →

1 education record

Moiz Saifee education

FAQ

Frequently asked questions about Moiz Saifee

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

What company does Moiz Saifee work for?

Moiz Saifee works for Correlation Ventures.

What is Moiz Saifee's role at Correlation Ventures?

Moiz Saifee is listed as Data Science | Venture Capital | IIT Kharagpur | Kaggle Master at Correlation Ventures.

What is Moiz Saifee's email address?

AeroLeads has found 1 work email signal at @correlationvc.com for Moiz Saifee at Correlation Ventures.

What is Moiz Saifee's phone number?

AeroLeads has found 3 phone signal(s) with area code 858 for Moiz Saifee at Correlation Ventures.

Where is Moiz Saifee based?

Moiz Saifee is based in Indore, Madhya Pradesh, India while working with Correlation Ventures.

What companies has Moiz Saifee worked for?

Moiz Saifee has worked for Correlation Ventures, Info Edge India Ltd, and Fair Isaac.

Who are Moiz Saifee's colleagues at Correlation Ventures?

Moiz Saifee's colleagues at Correlation Ventures include Richa Tripathi, Trish Melton, Kelsey Reilly, Regina White, and Davis Keller.

How can I contact Moiz Saifee?

You can use AeroLeads to view verified contact signals for Moiz Saifee at Correlation Ventures, including work email, phone, and LinkedIn data when available.

What schools did Moiz Saifee attend?

Moiz Saifee holds B.Tech., Computer Science And Engineering from Indian Institute Of Technology, Kharagpur.

What skills is Moiz Saifee known for?

Moiz Saifee is listed with skills including Analytics, Predictive Analytics, Predictive Modeling, Sas, Segmentation, Analysis, Big Data, and Data Mining.

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