Anuja Kharat

Data Analyst

Mumbai 0+ yrs exp 86 · Excellent

About

Data Analyst with hands-on experience in business reporting, performance dashboarding, and strategic analytics for management decision-making. Proficient in Python, SQL, Power BI (DAX), and AI tools — with a proven track record of deriving structured insights from large datasets and translating them into measurable business impact. Seeking entry-level Data Analyst / Business Analyst / Data Science roles.

Skills & Expertise (24)

Power BI Intermediate

5.3/10

0.25

Years Exp

DAX Intermediate

5.3/10

0.25

Years Exp

Excel Intermediate

4.3/10

0.25

Years Exp

Data visualisation Intermediate

4.3/10

0.25

Years Exp

Trend Analysis Intermediate

4.3/10

0.25

Years Exp

Customer Segmentation Intermediate

4.3/10

0.25

Years Exp

RFM Analysis Intermediate

4.3/10

0.25

Years Exp

Performance Tracking Intermediate

4.3/10

0.25

Years Exp

Business Reporting Intermediate

4.3/10

0.25

Years Exp

KPI Dashboarding Intermediate

4.3/10

0.25

Years Exp

Matplotlib Beginner

3.8/10

0.25

Years Exp

Generative AI Beginner

3.8/10

0.25

Years Exp

NLP Beginner

3.8/10

0.25

Years Exp

Machine Learning Beginner

3.8/10

0.25

Years Exp

ETL workflows Beginner

3.8/10

0.25

Years Exp

Python Beginner

3.8/10

0.25

Years Exp

MongoDb Beginner

3.8/10

0.25

Years Exp

OpenCV Beginner

3.8/10

0.25

Years Exp

Flask Beginner

3.8/10

0.25

Years Exp

scikit-learn Beginner

3.8/10

0.25

Years Exp

NumPy Beginner

3.8/10

0.25

Years Exp

Pandas Beginner

3.8/10

0.25

Years Exp

Tableau Beginner

3.8/10

0.25

Years Exp

SQL Beginner

3.8/10

0.25

Years Exp

Work Experience

Data Analyst Intern

SORT Solution

Jul 2025 - Oct 2025

Built end-to-end data pipeline processing 1,500+ records and developed 3 Power BI performance dashboards (revenue, ATV, transaction counts) — used in weekly management business reviews, improving reporting efficiency and leadership decision-making. Conducted RFM Analysis segmenting 1,500+ customers into 5 cohorts; identified top-revenue segment (female returning customers, ATV ₹43K, 75%+ of transactions) — directly informing client marketing strategy and loyalty program design. Developed DAX-powered KPI tracking across customer types, enabling structured stakeholder reporting and data-driven operational insights for leadership.