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Hi, I’m Mudit Agarwal, a data-driven analytics professional who loves turning complex data into actionable insights. I excel at building scalable analytics pipelines, automating repetitive tasks with Dataiku and AI-driven models, and delivering cross-functional impact in fast-paced environments. I enjoy collaborating with teams to translate business problems into measurable outcomes, and I continuously upskill in Python, SQL, ETL, and visualization tools like Tableau, Power BI, and Looker Studio to drive data-informed decision making.…Hi, I’m Mudit Agarwal, a data-driven analytics professional who loves turning complex data into actionable insights. I excel at building scalable analytics pipelines, automating repetitive tasks with Dataiku and AI-driven models, and delivering cross-functional impact in fast-paced environments. I enjoy collaborating with teams to translate business problems into measurable outcomes, and I continuously upskill in Python, SQL, ETL, and visualization tools like Tableau, Power BI, and Looker Studio to drive data-informed decision making.

Mudit Agarwal

Data Analyst, Data Scientist, Web Developer, +3

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Hi, I’m Mudit Agarwal, a data-driven analytics professional who loves turning complex data into actionable insights. I excel at building scalable analytics pipelines, automating repetitive tasks with Dataiku and AI-driven models, and delivering cross-functional impact in fast-paced environments. I enjoy collaborating with teams to translate business problems into measurable outcomes, and I continuously upskill in Python, SQL, ETL, and visualization tools like Tableau, Power BI, and Looker Studio to drive data-informed decision making.…Hi, I’m Mudit Agarwal, a data-driven analytics professional who loves turning complex data into actionable insights. I excel at building scalable analytics pipelines, automating repetitive tasks with Dataiku and AI-driven models, and delivering cross-functional impact in fast-paced environments. I enjoy collaborating with teams to translate business problems into measurable outcomes, and I continuously upskill in Python, SQL, ETL, and visualization tools like Tableau, Power BI, and Looker Studio to drive data-informed decision making.

Available to hire

Hi, I’m Mudit Agarwal, a data-driven analytics professional who loves turning complex data into actionable insights. I excel at building scalable analytics pipelines, automating repetitive tasks with Dataiku and AI-driven models, and delivering cross-functional impact in fast-paced environments.

I enjoy collaborating with teams to translate business problems into measurable outcomes, and I continuously upskill in Python, SQL, ETL, and visualization tools like Tableau, Power BI, and Looker Studio to drive data-informed decision making.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

French

Intermediate

Hindi

Fluent

Work Experience

Freelance Data Analyst at Esparse Matrix solutions Pvt Ltd, India

October 1, 2024 - November 5, 2025

Built machine learning models (regression, classification, NLP, and time-series forecasting) to solve client problems. Automated data preprocessing and feature engineering pipelines in Python, reducing data preparation time by 80%.

Digital Data Analyst at British American Tobacco, Paris

August 1, 2025 - August 1, 2025

Built ARIMA forecasting models in Python, improving supply chain accuracy by 60%. Automated Dataiku pipelines, reducing processing time by 60%. Enhanced reporting accuracy (Power BI, Fabric), supporting cross-functional teams. Designed and implemented scalable web scraping, raising real-time data accuracy from 65% to 90%.

AI Engineer at Nicely, France

September 1, 2024 - September 1, 2024

Processed & cleaned 10K+ records, ensuring high-quality onboarding datasets. Developed ML models (regression, classification, NLP, forecasting) for clients. Automated data preprocessing pipelines in Python, cutting prep time by 80%.

Web Research & Data Analyst Intern at Cross Border Commerce Europe, Brussels

April 1, 2024 - April 1, 2024

Built Tableau KPI dashboards, contributing to 70% increase in sales revenue. Delivered 20+ ad hoc solutions with Sales & Customer Success teams, improving response time by 85%. Integrated CRM data with 100% accuracy to support sales analytics.

Data Engineer Intern at Global IT Providers, India

July 1, 2021 - July 1, 2021

Developed and maintained ETL Pipelines for internal analysis. Automated data validation in Python, enhancing data accuracy by 70%. Collaborated with senior engineers on data migration and reporting.

Digital Data Analyst Intern at British American Tobacco

August 1, 2025 - August 1, 2025

Ensured data integrity in PBI and Fabric reports by automating Dataiku pipelines consolidating multi-source data into Fabric tables, streamlining decision making for cross-functional teams by 80%. Delivered insights on flavor performance and product mix boosting the decision making to 90%. Designed and implemented scalable web-scraping boosting real-time data accuracy from 65% to 95%.

Artificial Intelligence Engineer - CDD at Nicely

September 1, 2024 - September 1, 2024

Analyzed data of more than 10k customers and developed a NN model to predict the engines probabilities in associating projects. Prepared documentation for the team, communicated business insights to proactively plan maintenance. Highlighted project: Neural Network Building for automating timesheets entry processes by AI.

Web Research and Data Analyst Intern at Cross Border Commerce Europe

April 1, 2024 - April 1, 2024

Created a customized KPI dashboard in Tableau for the market research team, resulting in actionable insights that led to a 70% improvement in sales revenue. Implemented a reporting system using Power BI, which streamlined data processing and cut the time required by 50%. Ensured data quality by resolving mapping issues in the database, facilitating clear and accurate visualizations for strategic insights.

Data Analyst at BR Softech

August 1, 2022 - August 1, 2022

Developed and executed region and sub-category specific strategies, boosting operational performance and strategic alignment by 60% across targeted markets. Enhanced intelligence gathering from internal & external data sources which significantly improved the strategic response capabilities & planning accuracy by over 80%.