Nikita Jangid

Data Scientist

Jaipur, Rajasthan, India7 yrs 6 mos experience

Highly Stable

Key Highlights

Data Scientist at PayPal with strong analytical skills.
Experience in machine learning and web development.
Participated in Goldman Sachs Women's Summit for finance.

Stackforce AI infers this person is a Data Scientist with expertise in Fintech and Manufacturing.

Contact

Skills

Core Skills

Web DevelopmentMachine Learning

Other Skills

HTMLCSSJavaScriptDjangoSoftware DevelopmentMicrosoft ExcelPython (Programming Language)Data StructuresStrategic PlanningMATLABJupyterC++ManagementLeadershipLinear Regression

Experience

7 yrs 6 mos

Total Experience

2 yrs 4 mos

Average Tenure

1 yr 11 mos

Current Experience

Paypal

2 roles

Data Scientist

Promoted

May 2025 – Present · 1 yr 1 mo

Data analyst 2

Jul 2024 – May 2025 · 10 mos

Wells fargo

2 roles

Risk Analytics Consultant

Promoted

Jul 2023 – Jul 2024 · 1 yr · Bengaluru, Karnataka, India

Program Associate

Jul 2022 – Jul 2023 · 1 yr · Bengaluru, Karnataka, India

Cognizance, iit roorkee

4 roles

Head (CSR & Marketing)

Promoted

Sep 2021 – Mar 2022 · 6 mos

Manager

Promoted

Jan 2021 – Sep 2021 · 8 mos

Executive (Marketing & CSR)

Promoted

Apr 2019 – Jan 2021 · 1 yr 9 mos

Core Team Member

Dec 2018 – Apr 2019 · 4 mos

Lti - larsen & toubro infotech

Summer Internship

Jun 2021 – Jul 2021 · 1 mo

Full stack developer intern at LTI. Built a BOM utility using HTML, CSS, Javascript and Django for a leading axle manufacturing company

Precitec precision machineries private limited

Machine learning internship

Apr 2021 – May 2021 · 1 mo

Developed software based prediction models using ML technologies for use in manufacturing firms.Worked on dataset and optimized multiple ML based prediction algorithms to support the prediction in delays in manufacturing of parts. Developed an user interface to deploy the models.

Goldman sachs

Women's Possibilities Summit'21: Finance, Goldman Sachs

Feb 2021 – Feb 2021 · 0 mo

Got selected in a virtual event that provided an opportunity to various women across prestigious campuses, to hear from various Goldman Sachs' leaders and participated in various case studies(data & ML) and tasks.