Hello, I am
Thejaswini S.V.

1
Excel Project

2
PowerBI Projects

1
SQL Project
About Me
Hey there, I'm Thejaswini!
Welcome to my little corner of the data world!
I’m a curious mind with a passion for turning raw data into real-world insights. With a B.Sc. (Hons.) in Data Science and real-world experience through internships and hands-on projects, I love exploring patterns, building dashboards, and telling stories through data.
Tools I work with:
1) Excel
2) Machine Learning
3) Power BI
4) Python
5) MySQL
6) Mini Fabric for data analyst
7) n8n (for automation workflows)
I believe in continuous learning and love sharing what I discover to help others grow. If you’re into data, automation, or just curious—let’s connect and turn data into impact!
Explore my portfolio to see my work, and let’s connect to discuss how I can add value to your team!
Key Skills
Excel
Power Bi
sql
Python
Machine Learning
Effecitive communication
N8n
My Experience
Work Experience
Junior Data Analyst Trainee, Seppam Semantics Private Limited Nov 2024 - Present
● Increased 70% data accuracy from 5 different sources (PDF, Text, CSV, Excel, Word).
● Utilized Power BI to clean, ETL, integrate data, improve data quality by 20%.
● Developed as AI agent using n8n workflow to manage internal operations.
Internship Experience:
Data Analyst intern, AtliQ Hardware Mar 2025 - Apr 2025
● Managed data cleaning, validation and report using Excel, Power BI, MySQL and Power Query, providing clear insights for decision- making.
● Analysed sales of Shield Insurance, improved reporting accuracy by 15% and boosted engagement of clients in 5 cities.
Data Analyst intern, Shiash info solutions Aug 2024 - Nov 2024
● Created intuitive dashboards to enhance data interpretation, improving decision -making efficiency by 25%.
● Worked on "Google Search Analysis" for understanding better about search trend using Python.
Data Analyst intern, Accenture Mar 2024 - Mar 2024
● Focused on social media client during my internship , contributing to a 15% increase in engagement rates.
● Improved the client's understanding and enhance engagement by 20%.
Data Analyst micro- internship, IBM Feb 2024 - Mar 2024
● Analyzed smoking data using statistical methods and data visualization libraries, determining tumor size with 95% accuracy, revealed that 30% of smokers had big tumors, enhancing diagnostic precision.
● Visualize and analyze the 40% dataset to enhance clarity.
Data Science intern, UNP Aug 2023 -Nov 2023
● Collaborated with a team of 4 on classification and regression projects.
● Aimed on enhancing user experience through data analysis and machine learning by 10%.
● Formulated impactful visualizations and strategic recommendations using market analysis using Collab.
●Achieved a 20% improvement in project outcomes and increased team efficiency by 15%.
Awards & Certificate
Let's Connect
Feel free to get in touch with me. I am always open to discussing new projects, creative ideas or opportunities to be part of your visions.