As a logical and rational thinker, I actively consider biases and heuristics that influence decision-making. For instance, I tracked my energy levels by the hour manually for 21 days to uncover my natural energy patterns, prioritizing data over chance and heuristics.
Discovering the world of analytics was an epiphany for me—I found my true passion. The ability to uncover insights and solve complex problems captivated me. Since then, I have continuously immersed myself in learning tools and theories to excel in this field.
With 1 year of experience at a fintech startup, actively pursuing 2 advanced data diplomas, while maintaining a dedicated blog, I have gained valuable expertise in working with data. I'm eager to collaborate with individuals and organizations seeking to harness the power of data for informed decision-making. Let's join forces to leverage analytics and drive impactful outcomes together.
Tools I can work with: SQL, Python, Power BI, Tableau, Advanced Excel, AWS cloud
Data-stack: MSSQL (warehousing), Python, Huggingface (finetuned LLM for classification), Power BI
A comprehensive personal spending tracker designed as an end-to-end intelligence solution. Leveraged a fine-tuned pre-trained model for accurate transaction categorization, developed robust data pipelines for processing and analysis, established a scalable storage solution, and created interactive visualizations to gain actionable insights
In this article, I share my personal journey of implementing AI models, focusing on practical insights and strategies for fine-tuning large language models. I discusss challenges encountered with resource-intensive models, the importance of creating a quality dataset, and so much more
Languages: Python, Javascript and DAX
Made an automated ETL pipeline, combining data from 4 different sources, to create a comprehensive health dashboard.
A three part series that explains the fundamental concepts of statistics in relation to the current data science landscape
Tools: SQL, Tableu
Analzed over 10 million rows of data with the help of SQL and Tableu, and subsequently, created a report to consolidate insights.
Tools: Python - Pandas, Numpy, Seaborn, Matplotlib
Conducted market basket analysis along with EDA on a superstore dataset.
Like what you see?
I am available for lucrative job opportunities in the data analytics space.
I am always looking for interactions that can help me or somebody else learn.
Don't hesitate to reach out! Let's learn and grow together.