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Data Science - Python - Power BI Specialist

Location:
Kurichi, Tamil Nadu, India
Salary:
300000
Posted:
January 12, 2026

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Resume:

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.



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