Vibhuti Singhania

CEO

Bengaluru, Karnataka, India5 yrs 9 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

VP at Goldman Sachs with extensive experience in data analysis.
Dual degree from IIT Kharagpur in Chemical Engineering.
Expertise in statistical machine learning and dashboard creation.

Stackforce AI infers this person is a Fintech expert with strong analytical and technical skills.

Contact

Skills

Core Skills

Data AnalysisStatistical Machine Learning

Other Skills

VisualizationDashboard CreationC++RPythonAdobe PhotoshopArduinoAndroid StudioSTM32f4C

About

VP at Goldman Sachs with a Dual Degree (B.Tech + M.Tech) from Indian Institute of Technology Kharagpur, focused in Chemical Engineering with a Minor in Mathematics and Computing. Interested in Mathematics, Data Analysis, and Coding.

Experience

5 yrs 9 mos

Total Experience

2 yrs 10 mos

Average Tenure

4 yrs 8 mos

Current Experience

Goldman sachs

4 roles

Vice President

Promoted

Jan 2026 – Present · 4 mos

Associate

Promoted

Jan 2023 – Dec 2025 · 2 yrs 11 mos

Analyst

Jul 2021 – Dec 2022 · 1 yr 5 mos

Summer Analyst

May 2020 – Jun 2020 · 1 mo · Bengaluru, Karnataka, India

Project 1 | Loans Risk Metrics Dashboard
Created a visualization in the form of a dashboard, where one could get a better understanding of
the risk metrics and reserves for corporate loans.
Aligned the data to allow -
o Comparison of the reserves and relevant risk metrics across dates.
o Consistent data features which allowed interactive features on the dashboard to drill down and internalize the changes.
Project 2 | Currency Correlations Market Signals
Worked on foreign exchange market returns data, containing 29 different currencies.
Built a statistical machine learning algorithm to find volatility and correlations triggers across the entire data.

Data AnalysisStatistical Machine LearningVisualizationDashboard Creation

University of alberta

Summer Research Analyst

May 2019 – Jul 2019 · 2 mos · Edmonton, Canada Area

Analyzed Performance of Dedicated Cycling Infrastructure Using Passive and Survey Data.
Analysed infrastructure preferences of different types of cyclists by building a statistical model.
Assessed how the cycle track integrates with the Complete Streets and Vision Zero programs in the city of Edmonton.

Kharagpur robosoccer students group

Embedded Team Member

Feb 2017 – Mar 2018 · 1 yr 1 mo · Kharagpur, India

Worked on communication between the Autonomous Soccer playing Bots using nRF24l01+ RF IC, Digi Xbee, and ESP32 modules.
Worked on STM32F4 discovery board, ATmega, and Arduino uno microcontroller boards.