Vaishnavi Rohatgi

AI Researcher

Delhi, India3 yrs 9 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Developed multiple Key Risk Indicators for risk monitoring.
Implemented data-driven strategies that improved operational efficiency.
Pursuing advanced studies in Data Science and Engineering.

Stackforce AI infers this person is a Data Analyst with expertise in Fintech and Data Science.

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Skills

Core Skills

Risk AnalyticsData AnalysisData ScienceBusiness AnalysisMachine LearningData Visualization

Other Skills

Google Cooud PlatformSQLPresentation SkillsCommunicationData ManipulationHiveQLAnalytical SkillsProblem SolvingPartner Relationship ManagementProject ManagementPoject managmentProduct ManagementProject PlanningProject DeliveryLeadership

About

Senior Analyst at American Express with 3+ years of experience in risk analytics, data-driven strategy, and scalable data solutions. Currently working on developing Key Risk Indicators (KRIs), analytics frameworks, and exploring machine learning and GenAI applications to enhance risk monitoring and decision-making. Previously worked as a Data Analyst at BCG with experience in Python, SQL, Power BI, and data analytics. Currently pursuing an M.Tech in Data Science and Engineering from BITS Pilani. Interested in leveraging data, finance, ML, and AI to drive smarter solutions.

Experience

3 yrs 9 mos

Total Experience

1 yr 11 mos

Average Tenure

1 yr 10 mos

Current Experience

American express

2 roles

Senior Analyst

Mar 2026 – Present · 2 mos

Analyst - Risk Management

Jul 2024 – Mar 2026 · 1 yr 8 mos

Built and deployed 9+ KRIs in Pricing using GCP to validate membership and late fee
accuracy, automate charge checks, and ensure correct customer notifications; uncovered critical data
issues, reduced regulatory risk, and improved customer fairness.
Designed and implemented 15+ KRIs for Business Checking Accounts to monitor money movement,
statement delivery, and acquisition events - identified 14K+ impacted accounts, resolving major
operational gaps.
Achieved an 85% true issue detection rate across KRIs; proactively resolved edge cases through deep-
dive analyses into data quality, pipeline logic, and upstream systems.
Led end-to-end data investigations to resolve critical ETL issues, partnered with engineering and product
teams to ensure data pipeline integrity, and reduced TAT for resolution by 40%.

Google Cooud PlatformSQLPresentation SkillsCommunicationData ManipulationHiveQL+17

Bcg x

2 roles

Data Analyst - Data Science

Jul 2024 – Jul 2024 · 0 mo · Gurugram, Haryana, India · Hybrid

Junior Data Analyst - Data Science

Aug 2022 – Jul 2024 · 1 yr 11 mos · Gurugram, Haryana, India · Hybrid

Implemented a promo effectiveness framework for a leading CPG company, evaluating ROI and Uplift for individual promotional events using Linear Regression model.
Implemented customer segmentation using K-Means algorithm & RFM Analysis.
Conducted Diagnostic Analysis for a client to assess customer churn, product performance and optimizing omnichannel strategies based on online and offline consumer behavior and achieved a ~10% increase in sales and boosted conversions by 12.5%, while minimizing costs.
Performed RFM Analysis to implement customer segmentation
Developed a chatbot on Streamlit using OpenAI API and further refined the model through fine-tuning on healthcare dataset, creating an advanced and tailored chatbot solution.
Designed a cascading Power BI dashboard for a HVAC company to showcase critical sales and operations metrics, offering leadership a high level summary. Translated insights into actionable details at the micro level for comprehensive views. Integration with PowerApps facilitated sales rep to manipulate real-time data, resulting in a 20% increase in operational efficiency.
Developed a dynamic PowerBI dashboard for a healthcare firm, automating real-time data extraction from Amazon S3 using Python. Enabled the identification of stages with higher unprocessed messages or prolonged processing times, enabling them to address the issues and reducing processing time by 17%.
Automated an HR critical tool using Excel-VBA, decreasing manual efforts by 80% and reducing processing time by 70%.
Implemented a digital operating model using Tableau for a wine and spirits distributor, featuring skill discovery dashboards that offered insights into average weighted skill gaps across job families, roles, and important domain, improving decision-making capabilities for the distributor.

Data AnalysisTableauData ScienceVisual Basic for Applications (VBA)Business AnalysisMicrosoft PowerPoint+19

Zigram

Data Science Intern

Jan 2022 – Jul 2022 · 6 mos

Redeveloped a news clustering model utilizing the cosine similarity and FAISS model to classify similar news based on semantic meaning. Achieved a 53% improvement in news categorization accuracy, enhancing the model's ability to group articles with similar contextual meaning
Created a Flask API framework for data drift detection and EDA, providing users with quick insights on their datasets, resulting in a significant reduction in analysis time
Automated weekly statistical data analysis by creating a Python script, extracting data from a database using SQL queries.
Pre-processed and cleaned the data using NLP and carried out Sentiment Analysis..

SQLPython (Programming Language)Natural Language Processing (NLP)Microsoft PowerPointData ScienceMachine Learning

Sidekickedge management consulting services

Data Analyst

Dec 2021 – Jan 2022 · 1 mo · India

Shapeai

Data Analyst

Jun 2021 – Aug 2021 · 2 mos

Utilized Jupyter notebook and Google Colab to examine the given datasets.
Cleaned, prepared, visualized as well as modelled the data using different machine learning algorithms.

SQL