Kabir Chaturvedi

Data Scientist

New York City, New York, United States2 yrs 8 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in machine learning-driven forecasting.
Proven track record in data analysis for retail and fintech.
Strong collaboration with cross-functional teams.

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

Contact

kabirschaturvedi@gmail.com LinkedIn

Skills

Core Skills

Data AnalysisPythonCausal InferencePredictive ModelingBusiness Intelligence

Other Skills

Python (Programming Language)Business Intelligence (BI)SQLData AnalyticsMachine LearningMicrosoft Power BIA/B TestingExtract, Transform, Load (ETL)PostgreSQLData VisualizationStatisticsNatural Language Processing (NLP)Causal AnalysisData EngineeringExploratory Data Analysis

About

I’m a Data Scientist currently working at Movado, where I build forecasting and analytics solutions that directly influence sales, inventory, and profitability across 57 North American stores. My work focuses on demand planning, KPI analysis, and machine learning–driven forecasting to support executive planning and allocation decisions. Previously, I worked on eBay’s Ads Ranking team, where I supported large-scale experimentation and sponsored search optimization. I built and optimized SQL and PySpark pipelines over 10B+ row datasets, enabling faster A/B testing and data-backed decisions across the ads platform. I’ve also worked in fintech and startup environments, including NTT Data and Azirio, applying data analysis to payments, customer segmentation, retention, and revenue growth. Across roles, I specialize in turning messy, high-volume data into clear insights that drive real business outcomes. I’m strongest at the intersection of analytics, experimentation, and machine learning, with hands-on experience in Python, SQL, forecasting, and dashboarding. I enjoy working closely with product, finance, and leadership teams to solve practical problems and ship work that actually gets used.

Experience

2 yrs 8 mos

Total Experience

8 mos

Average Tenure

1 yr

Current Experience

Movado group, inc

Data Scientist

Jun 2025 – Present · 1 yr · New York City Metropolitan Area · Hybrid

Working in the Merchandising team, I analyze performance across 57 North American stores, focusing on inventory allocation, bestseller identification, and month-over-month trends across stores and products. I partner with merchandising and finance to turn sales, traffic, and conversion data into actionable budget and allocation decisions, supporting FY27 planning, profitability, and store-level optimization.

Data AnalysisPython (Programming Language)Python

Ebay

Data Scientist

May 2024 – Aug 2024 · 3 mos · Seattle, WA

Worked on eBay’s Ads Ranking team, I collaborated on key initiatives focused on large-scale data optimization, experimentation, and business impact.

Causal InferencePredictive Modeling

Azirio

Data Scientist

Aug 2023 – May 2024 · 9 mos · Philadelphia, PA

I worked with a client in the educational sector, providing actionable insights to enhance sales and retention through data analysis and visualization using Power BI, SQL, and Azure Data Factory.
Focused on: Data Analysis, Power BI, SQL, Azure Data Factory, Data Visualization, Data Processing, KPI's

Business Intelligence (BI)SQLData AnalysisBusiness Intelligence

Ntt data

Data Analyst

Nov 2022 – Jul 2023 · 8 mos · On-site

I worked as a Data Analyst in the fintech industry, analyzing transaction data from various clients, including banks and POS machine vendors. I utilized Power BI, advanced Excel functions, and data analysis techniques to provide actionable insights. My responsibilities included extensive data cleaning, loading data from official online sources, and performing in-depth data analysis. I also presented findings and insights to senior stakeholders and management, helping inform key business decisions and strategies.

Business Intelligence (BI)Data AnalyticsData AnalysisBusiness Intelligence