Tanya Raj

Ghaziabad 0+ yrs exp 76 · Very Good

About

BCA (Data Science) graduate with expertise in data analytics, business intelligence, and visualization. Proficient in Python, SQL, Power BI, and Advanced Excel, with a proven ability to convert complex data into actionable insights, interactive dashboards, and meaningful business solutions. Strong analytical mindset and passion for leveraging data to create measurable business impact.

Skills & Expertise (16)

Python Intermediate

5.5/10

0.5

Years Exp

Power BI Intermediate

5.5/10

0.5

Years Exp

Pandas Intermediate

5.5/10

0.5

Years Exp

Data Visualization Intermediate

5.5/10

0.5

Years Exp

Dashboard Development Intermediate

5.5/10

0.5

Years Exp

Data Analysis Intermediate

5.0/10

0.5

Years Exp

TF-IDF Intermediate

5.0/10

0.5

Years Exp

Regression Algorithms Intermediate

5.0/10

0.5

Years Exp

SQL Intermediate

4.5/10

0.5

Years Exp

KPI Tracking Intermediate

4.5/10

0.5

Years Exp

Advanced Excel Intermediate

4.0/10

0.5

Years Exp

NumPy Intermediate

4.0/10

0.5

Years Exp

Matplotlib Intermediate

4.0/10

0.5

Years Exp

Git Intermediate

4.0/10

0.5

Years Exp

Business Insights Intermediate

4.0/10

0.5

Years Exp

Streamlit Intermediate

4.0/10

0.5

Years Exp

Work Experience

Data Visualization Intern

Excelerate

Oct 2025 - Nov 2025

Developed an interactive Outreach & Campaign Dashboard using Power BI with data processed in Python (Pandas). Analyzed 30K+ records to track KPIs like conversion rate, outreach trends, and campaign performance. Built dynamic visuals and a lead conversion funnel to enable data-driven decision-making.

Data Science Intern

CodeAlpha

Sep 2025 - Oct 2025

Built a Spam Email Classifier using TF-IDF for text feature extraction. Performed data preprocessing and split dataset into training and testing sets using train_test_split for model evaluation. Developed a model to accurately classify emails as spam or ham. Achieved 95% accuracy in spam email classification.

Data Science Intern

Elite Tech

Dec 2024 - Jan 2025

Built a Car Price Prediction model using machine learning to estimate vehicle prices based on features like mileage, brand, and year. Performed data preprocessing and applied regression algorithms to improve prediction accuracy and support data-driven pricing decisions.