Open to Opportunities

Data that
tells a story.

Hi, I'm Sarvat — a Data & Business Analyst who turns messy datasets into clear decisions. Currently driving product analytics, QA, and team coordination at PitchMatter, Dubai.

85%+
ML Model Accuracy — Employee Attrition Project
10K+
EV Records Analyzed with Python & SQL
5
End-to-end Data Projects on GitHub

Core Stack

Python SQL R Tableau Currently at PitchMatter 🚀

What I Work With

Technical Toolkit

Languages
Python
R
SQL (MySQL · PostgreSQL)
Advanced Excel
Libraries
Pandas · NumPy
Matplotlib · Seaborn
Scikit-learn
ggplot2
Visualization
Tableau
Power BI
Excel Dashboards
Plotly
ML & Analytics
Random Forest
Logistic Regression
KNN · K-Means
Feature Engineering
Business
Requirement Gathering
UAT · QA Testing
Agile / Scrum
Jira · Notion · Git

Work History

Experience

Business Analyst Intern · Product Team Lead Trainee
Current Role
PitchMatter
Feb 2026 – PresentDubai, UAE · Remote
  • Owned requirements documentation for Zynk.ing — converting stakeholder needs into functional specs, user stories, and acceptance criteria for the dev team.
  • Led product team coordination to align development milestones with business goals and release timelines.
  • Conducted competitor benchmarking across 10+ platforms; insights directly influenced product roadmap priorities.
  • Embedded with QA & Testing team to design and execute test cases, log defects, and validate fixes across release cycles.
  • Executed UAT using Jira, Excel, and Notion, maintaining a structured defect log that improved release quality.
Data Analytics Virtual Internship
Simulation
Deloitte
Feb 2026Virtual
  • Built a multi-KPI Tableau dashboard surfacing actionable business insights.
  • Performed end-to-end data preparation in Excel for downstream reporting.

Selected Work

Projects

⚡
Electric Vehicle Market Analysis

Comprehensive analysis of EV registrations across 10,000+ records — exploring adoption trends, geographic distribution, clean fuel eligibility, and MSRP patterns using Python & SQL with 15 distinct analyses.

Python SQL SQLite Pandas Seaborn
View on GitHub →
👥
Employee Attrition Prediction

Built Logistic Regression & Random Forest models on 1,470 HR records to predict employee churn. Applied threshold tuning to maximize recall — prioritizing real-world HR intervention over raw accuracy.

Python Scikit-learn Random Forest Logistic Regression
View on GitHub →
📉
Customer Churn Analysis

End-to-end churn analysis in R on 3,000+ telecom customers. Benchmarked 5 ML models — Decision Tree, Random Forest, KNN, K-Means, Linear Regression — with business-aligned retention strategies.

R ggplot2 Random Forest KNN K-Means
View on GitHub →
💼
Freelancer Earnings Analysis

Analyzed freelancer performance across Fiverr, Upwork & PeoplePerHour. Built custom metrics — ROI, earnings per job, client satisfaction score — to uncover what truly drives freelancer success.

Python Pandas Matplotlib Seaborn
View on GitHub →
🌍
Socio-Economic & Income Analysis

Explored socio-economic indicators and income distribution patterns to uncover regional disparities and key drivers of economic mobility through data-driven statistical analysis.

Python EDA Data Visualization Statistics
View on GitHub →

Background

Credentials

Certifications

IBM Data Analyst Professional Certificate
IBM · Coursera
Jun – Aug 2024
Data Science and ML Bootcamp with R
Philip Burton · Udemy
Dec 2025 – Jan 2026

Education

Master of Commerce — Marketing
University of Lucknow · March 2025 – Present
Bachelor of Commerce
Eram Girls Degree College · Nov 2021 – Jun 2024

Let's Connect

Available for new roles

Looking for data analyst or business analyst roles where I can turn data into decisions. Let's talk!

official.sarvatfatima@gmail.com
LinkedIn GitHub Download Resume