Hello, I am

TEJASWINI MALAGI.

1

Excel Project

2

PowerBI Projects

1

SQL Project

About Me

Turning raw data into clear decisions — that’s what I do best.

I am a Data Analyst with hands-on experience in extracting insights using tools like Excel, SQL, Power BI, and Python. Over the past year, I’ve worked on real-world business projects and supported decision-making by building dashboards, writing efficient queries, and identifying key trends.

With a background in Computer Science Engineering and internship experience in data analytics, I’ve developed both technical expertise and strong communication skills. I take pride in simplifying complex data and presenting it in a way that’s meaningful to both technical and non-technical audiences.

I’m passionate about using data to solve problems, tell compelling stories, and create value. I’m currently seeking full-time opportunities where I can grow as part of a data-driven team and make a measurable impact.

Key Skills

Excel

SQL

Python

Power BI

Agile

Scrum

Presentation

My Projects

My Experience

Experience

Data Analyst Intern[Atliq Technilogies]
Remote | Feb 2024 – present

Analyzed over 10,000 rows of business data using Excel, reducing reporting errors by 30% through consistent data cleaning and validation.
Designed and deployed 4 interactive Power BI dashboards to track key business metrics, improving decision-making speed by 40% for internal teams.
Wrote optimized SQL queries to extract and join large datasets from multiple sources, reducing data retrieval time by 25%.
Collaborated with a cross-functional team of 5+ members to interpret trends and communicate insights during weekly review meetings.

Freelance & Academic Projects (2023 – Present)

Completed 6+ data analysis projects across domains such as digital media, sales, and influencer marketing.
Built data models and dashboards in Power BI, enabling non-technical users to explore metrics like sales growth, engagement rates, and profitability.
Conducted exploratory data analysis on datasets with 5,000+ records, identifying actionable patterns in user behavior and product trends.
Improved data reporting clarity by 30% through the use of well-structured visuals and KPI-focused summaries.
Delivered final presentations to simulate real-world stakeholder meetings, demonstrating effective data storytelling and communication.