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About Me


Driven Data Analyst with experience leveraging advanced analytical tools, machine learning techniques, and data methodologies to deliver impactful, data-driven solutions. With a Master’s degree in Data Science and Analytics from the University of Hertfordshire and a Bachelor’s degree in Computer Science and Engineering from SRM University, I bring a strong academic foundation and technical expertise. Proficient in data cleansing, analysis, visualization, and machine learning model development, I excel at uncovering actionable insights and solving complex challenges with precision. Passionate about innovation, I stay at the cutting edge of emerging trends in the dynamic field of data analytics.

Tools and Technologies I worked with:

• Microsoft Excel
• Microsoft Power BI
• SQL
• Python
• Tableau

1

PowerBI Project

1

Python Project

1

Excel Project

1

SQL Project

Key Skills

SQL
Python
Tableau
Machine Learning
Microsoft Excel
Microsoft Power BI

My Experience


AtliQ Technologies, Remote 

Data Analyst (Internship) Jul 2024 - Dec 2024

  • Used Power BI, Excel, and SQL to build a dynamic profit and loss statement across 4 years by region, country, customer profile, and product sequence with 100% data accuracy.
  • Built 2 dashboards that show key metrics like gross margins, net sales, and net profit percentages.
  • Generated a supply-chain report that projects the sales forecast with 98% accuracy.

Skills: SQL, Microsoft Power BI, Microsoft Excel.


University of Hertfordshire, Hatfield, UK

Credit Risk Analyst  Jan 2021 - Jan 2023

  • Developed machine learning models to detect credit risk with 92% accuracy, analyzing 10+ behavioral parameters and fine-tuning models to improve prediction accuracy by 15%.
  • Performed ETL on 1.5 million records using Python, enhancing data processing efficiency by 25%.

Skills: Python, Machine Learning.

Let's Work Together!


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.