DHAKSHA S
• ******************@*****.*** • linkedin.com/in/dhaksha-soundarrajan
• github.com/Dhaksha333 • +91-944*******
Education
Sri Krishna Adithya College Arts and Science
Bachelor of Science in Data Science
CGPA: 7.0
Coimbatore, Tamil Nadu
2025
Sri Sowdeswari Vidyalaya Matriculation Hr. Sec School HSC: 66.17
Coimbatore, Tamil Nadu
2022
SKILLS
• Programming & Querying : Python, SQL
• Data Analysis : Pandas, NumPy, Excel(Pivot Tables, Power Query)
• Visualization Tool : Power BI
• Databases : MySQL
• DevOps : GitHub
Projects
Legal Document Summarizer
• Description:Built a Python-based tool to automatically summarize lengthy legal documents for easier understanding. Used Natural Language Processing (NLP) techniques to extract key information and reduce document length without losing meaning. Improved document review speed by simplifying complex legal content into short summaries . Gained hands-on experience in text preprocessing, tokenization, and summarization algorithms . Designed with a focus on legal professionals, law students, and researchers for efficient legal content analysis Achievements
• Journal Published on the topic of ”Exploring The Impact Of Data Science On Modern Industries”
• Gen AI Powered Data Analytics Job Simulation
• Deloitte Data Analytics Job Simulation
• Accenture Data Visualization Job Simulation
Additional
Language Skills: English, Tamil
Interests/Hobbies: Dancing, Travelling, drawing
Interpersonal Skills: Communication, Teamwork, Problem Solving and Decision making Electronic & Gadgets Market Trends
• Description: Analyzed sales data to identify trends, customer behavior, and product performance using Python (Pandas, NumPy, Matplotlib, Seaborn).Performed data cleaning, preprocessing, and feature engineering (e.g., Lead Time) to enhance insights . Conducted EDA and built interactive dashboards in Power BI and Python for clear data visualization . Applied predictive analytics to forecast sales and optimize inventory and marketing strategies . Evaluated supplier performance to support data-driven business decisions.