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Sneha Roy Email & Phone Number

Data Science at McKinsey & Company at McKinsey & Company
Location: Boston, Massachusetts, United States 5 work roles 2 schools
1 work email found @mckinsey.com LinkedIn matched
✓ Verified Jul 2026 4 data sources Profile completeness 100%

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Current company
Role
Data Science at McKinsey & Company
Location
Boston, Massachusetts, United States

Who is Sneha Roy? Overview

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Quick answer

Sneha Roy is listed as Data Science at McKinsey & Company at McKinsey & Company, based in Boston, Massachusetts, United States. AeroLeads shows a work email signal at mckinsey.com and a matched LinkedIn profile for Sneha Roy.

Sneha Roy previously worked as Lead Data Scientist at Mckinsey & Company and Senior Data Scientist at Humana. Sneha Roy holds Master'S Degree, Statistical Modeling & Big Data Analytics from Northeastern University.

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Email format at McKinsey & Company

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{first}_{last}@mckinsey.com
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Profile bio

About Sneha Roy

10 years of well-rounded experience in data science, advanced analytics, and engineering at McKinsey, Bank of America, Humana, and other global firms: - 7 years focusing on scalable predictive modeling, NLP, forecasting, experimentation, and user behavior analytics - 3 years focusing on building data architectures for Enterprise-level solutionsWorked closely with business and technical leaders, and cross-functional partners to identify and prioritize high-impact data science opportunities; Led initiatives from scoping through build and rollout, and impact measurementHired and mentored data scientists; Led various cross-functional AI/ML learning communitiesMicrosoft Certified Azure Data Scientist; 4.0 GPA in Statistical Modelling and Big Data Analytics Master’s degree

Listed skills include Performance Engineering, Capacity Planning, Big Data Analytics, Hp Performance Center, and 60 others.

Current workplace

Sneha Roy's current company

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McKinsey & Company
Mckinsey & Company
Data Science at McKinsey & Company
AeroLeads page
5 roles

Sneha Roy work experience

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

Lead Data Scientist

Current

Us

- I lead initiatives through discovery, scoping, and delivery working closely with senior leadership and business partners, actively seeking new opportunities to utilize cutting-edge AI/ML technologies for efficiency gains and improved user experience.- Built NLP models to extract key user-centric insights about targeted product groups and service journeys.(Technologies: aspect extraction, topic modeling, sentiment analysis, and clustering)- Built an attribution model to quantify performance drivers for 40+ customer journeys; Built a complimentary model to predict user satisfaction over time(Technologies: regression and classification modeling, time series forecasting, explainable AI tools)- I coach individuals on technical and business competencies, lead various learning initiatives for existing and aspiring data scientists, and support data science recruiting.

Jul 2022 - Present

Senior Data Scientist

Louisville, Kentucky, Us

Build data models to predict insurance and healthcare costs to users while accounting for nuances in the data like extreme high-cardinality, inaccuracies and incompleteness. Perform advanced analytics centered around conversions, user behavior patterns and user experience using natural language processing techniques and classification algorithms. Leverage statistical tests of significance for experiment design, test and control targeting, data balance and experiment outcome analysis. As part of a multi-disciplinary team in a fast-paced environment, I work closely with engineers to deploy models into DevOps pipelines, participate in weekly user interviews and research synthesis, and work with UX designers and product managers to review user feedback in order to identify opportunities for model iterations. Successfully adopted agile for data science including working with product managers to write stories and acceptance criteria for better stakeholder visibility as well as to keep data science efforts aligned with product portfolio goals

Aug 2019 - Jul 2022

Lead Analyst

Charlotte, Nc, Us

Collected and analyzed business requirements, translated to data requirements to create analytical, predictive and prescriptive solutions. Automated piping of structured and unstructured data from multiple sources, assessed data source and verified data integrity. Developed regression-based tools to generate test users modeled after real users’ demography. Performed principal component analysis and built classification models to forecast primary user activity. Developed text mining and classification tools to automate manual review of historical requirements and results. Visualized findings, presented results and recommendations to stakeholders and mined critical insights.

Oct 2015 - Mar 2018

Senior Data Engineer

Bangalore, Karnataka, In

Worked as a consultant analyst for global clients. Performed requirements review, data acquisition, project planning and user acceptance. Processed & cleansed data; performed missing data imputation & feature engineering to standardize data obtained from multiple sources for predictive modeling. Modularized client’s application framework to increase efficiency and recommended business features to reduce churn.

Jan 2015 - Oct 2015

Systems Engineer

Mumbai, Maharashtra, In

Worked with global clients and engaged in several projects for to improve user experience and application performance. Collected/reviewed client requirements & created design documents. Cleaned & processed datasets; performed exploratory data analysis. Developed & implemented demography based profiling tool for targeted advertisement. Collaborated with several teams to improve decision support system to increase efficiency and reduce costs.

Jul 2011 - Jan 2015
2 education records

Sneha Roy education

Master'S Degree, Statistical Modeling & Big Data Analytics

Northeastern University

Bachelor’S Degree, Biotechnology

Pes University
FAQ

Frequently asked questions about Sneha Roy

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

What company does Sneha Roy work for?

Sneha Roy works for McKinsey & Company.

What is Sneha Roy's role at McKinsey & Company?

Sneha Roy is listed as Data Science at McKinsey & Company at McKinsey & Company.

What is Sneha Roy's email address?

AeroLeads has found 1 work email signal at @mckinsey.com for Sneha Roy at McKinsey & Company.

Where is Sneha Roy based?

Sneha Roy is based in Boston, Massachusetts, United States while working with McKinsey & Company.

What companies has Sneha Roy worked for?

Sneha Roy has worked for Mckinsey & Company, Humana, Bank Of America, Mindtree, and Tata Consultancy Services.

How can I contact Sneha Roy?

You can use AeroLeads to view verified contact signals for Sneha Roy at McKinsey & Company, including work email, phone, and LinkedIn data when available.

What schools did Sneha Roy attend?

Sneha Roy holds Master'S Degree, Statistical Modeling & Big Data Analytics from Northeastern University.

What skills is Sneha Roy known for?

Sneha Roy is listed with skills including Performance Engineering, Capacity Planning, Big Data Analytics, Hp Performance Center, Load Testing, Stress Testing, Splunk, and Wily Introscope.

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