Harshit Bansal
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Harshit Bansal Email & Phone Number

Senior Data Scientist - GTM at Aircall
Location: Washington DC-Baltimore Area, United States, United States 7 work roles 2 schools
1 work email found @gene.com LinkedIn matched
4 data sources Profile completeness 100%

Contact Signals · 1 work email

Work email h****@gene.com
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Current company
Role
Senior Data Scientist - GTM
Location
Washington DC-Baltimore Area, United States, United States
Company size

Who is Harshit Bansal? Overview

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Quick answer

Harshit Bansal is listed as Senior Data Scientist - GTM at Aircall, a company with 782 employees, based in Washington DC-Baltimore Area, United States, United States. AeroLeads shows a work email signal at gene.com and a matched LinkedIn profile for Harshit Bansal.

Harshit Bansal previously worked as Senior Data Scientist at Ware2Go and Business Intelligence Engineer at Whitebox Inc. Harshit Bansal holds Master Of Science - Ms, Business Analytics from University Of Maryland - Robert H. Smith School Of Business.

Company email context

Email format at Aircall

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{first}.{last}@gene.com
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AeroLeads found 1 current-domain work email signal for Harshit Bansal. Compare company email patterns before reaching out.

Profile bio

About Harshit Bansal

Data Science professional with 7+ years of experience in expertly leveraging ML, statistical analysis, and data storytelling to drive multimillion-dollar impacts. Successfully led cross-functional initiatives to enhance operational efficiencies, customer retention and growth rates in different sectors.

Listed skills include Web Development, Web Interface Design, Css3, Php, and 7 others.

Current workplace

Harshit Bansal's current company

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Aircall
Aircall
Senior Data Scientist - GTM
Washington, DC, US
Website
Employees
782
AeroLeads page
7 roles

Harshit Bansal work experience

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

Senior Data Scientist - Gtm

Washington, DC, US

Senior Data Scientist

Current

Atlanta, Georgia, United States

- Improved demand forecasting model accuracy by 11% using regression-based method streamlined workforce management.- Led in-depth data analysis initiatives, collaborating with cross-functional teams to identify inventory loss patterns, resulting in $1.1M+ annual cost savings.- Developed an network optimization model across 38+ warehouses and 20,000+ SKUs.

Mar 2023 - Present

Business Intelligence Engineer

Washington DC-Baltimore Area

- Developed time-series shipping volume forecasting model with 88% prediction accuracy, which contributed to improvement of 11% YoY in on-time delivery rate.- Built a Tableau BI reporting system from the ground up that facilitated real-time decision-making and supported a 5x increase in shipping volume over the two years.- Collaborated with engineering.

Mar 2021 - Mar 2023

Intern - Workplace Analytics

San Francisco Bay Area

- Developed statistical model to validate workplace IoT sensors data quality, enabling tracking of social distancing and office space utilization.- Successful validation led to the investment of $17M to expand the installation of sensors across the campus.

Jun 2020 - Dec 2020

Senior Product Analyst

Bengaluru, Karnataka, India

- Accomplished a 20% uplift in conversion rate on the website through A/B testing and identification of interested users through surveys and usage patterns.- Reduced weekly customer contacts by 23% by identifying top contact reasons, optimizing shift roster and, suggesting changes in agents’ training material.- Designed quarterly NPS survey through.

Mar 2019 - Jul 2019

Business Analyst

Bengaluru, Karnataka, India

- Saved over $520,000 through a 5% reduction in subscription payment default rate. Built a classification model to predict consumers at risk. Leveraged historical data on payments, car usage, credit score, and 43 other features.- Mentored a team of 5 newly recruited Business Analysts.- Built unit economics model to provide 360° visibility on the financials.

Aug 2017 - Mar 2019

Trainee Data Scientist

Bengaluru, Karnataka, India

- Reduced £12M in annual costs by predicting food wastage using machine learning modeling. These predictions helped in optimizing delivery schedules and store stocking plans.- Conducted statistical analysis to optimize seasonal product assortment across the stores in the UK. Recommendations resulted in a waste cost reduction of 16% across the country.- Led.

Jul 2015 - Aug 2017
Team & coworkers

Colleagues at Aircall

Other employees you can reach at aircall.io. View company contacts for 782 employees →

2 education records

Harshit Bansal education

Bachelor Of Engineering (B.E.), Information Science And Engineering

FAQ

Frequently asked questions about Harshit Bansal

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

What company does Harshit Bansal work for?

Harshit Bansal works for Aircall.

What is Harshit Bansal's role at Aircall?

Harshit Bansal is listed as Senior Data Scientist - GTM at Aircall.

What is Harshit Bansal's email address?

AeroLeads has found 1 work email signal at @gene.com for Harshit Bansal at Aircall.

Where is Harshit Bansal based?

Harshit Bansal is based in Washington DC-Baltimore Area, United States, United States while working with Aircall.

What companies has Harshit Bansal worked for?

Harshit Bansal has worked for Aircall, Ware2Go, Whitebox Inc, Genentech, and Zoomcar.

Who are Harshit Bansal's colleagues at Aircall?

Harshit Bansal's colleagues at Aircall include Sabrina Marto, Ali Hindi, Grace Eichacker, Juan Parra, and Manon Bureau.

How can I contact Harshit Bansal?

You can use AeroLeads to view verified contact signals for Harshit Bansal at Aircall, including work email, phone, and LinkedIn data when available.

What schools did Harshit Bansal attend?

Harshit Bansal holds Master Of Science - Ms, Business Analytics from University Of Maryland - Robert H. Smith School Of Business.

What skills is Harshit Bansal known for?

Harshit Bansal is listed with skills including Web Development, Web Interface Design, Css3, Php, Html, Html 5, Javascript, and Java.

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