Data Analyst Power Bi

Mudit Agarwal

Jaipur Raj, India +91-951****** ***************@*****.*** LinkedIn Portfolio

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Data Analyst skilled in Excel, SQL, Python, and BI tools with experience analyzing large-scale datasets (10M+ rows), automating pipelines, and delivering actionable insights. Strong background in data cleaning, visualization, and customer-focused analytics. Core Competencies: Data Cleaning, Data Migration, Excel (Advanced), SQL, Power BI, Tableau Work Experience

Freelance Data Analyst Esparse Matrix solutions Pvt Ltd, India Oct 2024 – Present

• Built machine learning models (Regression, Classification, NLP, Time Series Forecasting) to solve client problems.

• Automated data preprocessing and feature engineering pipelines in Python, reducing preparation time by 80% Digital Data Analyst British American Tobacco, Paris Feb 2025 – Aug 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 Nicely, France Jul 2024 – Sep 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 Cross Border Commerce Europe, Brussels Nov 2023 – Apr 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. Projects

• Fraud Detection & Credit Risk Analysis: Built classification models (Logistic Regression, XGBoost) to identify fraud in financial data.

• Cancer Detection using AI: Trained SVM & CNN models to classify cancerous vs. non-cancerous cells with high accuracy. Education

Master in Data & Business Analytics Rennes School of Business, France 2022 – 2024 Bachelor of Computer Applications University of Rajasthan, India 2017 – 2020 Certifications

EDA in Python (DataCamp), Google Analytics (Google), Data-Driven Decision Making (Coursera), PGP-BA (INSOFE) Skills

Programming and Languages : Python (Pandas, NumPy, scikit-learn, Matplotlib), R, SQL, Excel, VBA BI Tools: Power BI, Tableau, Google Data Studio

Databases: BigQuery, PostgreSQL, SQL Server, Snowflake, Fabric Data Processing: ETL Pipelines, Data Cleaning, Feature Engineering, Dataiku ML & Forecasting: Regression, Classification, Clustering, Forecasting (ARIMA, Time Series), NLP Soft Skills: Analytical Thinking, Problem-Solving, Cross-Functional Collaboration, Communication English (Fluent), Hindi (Native)

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