An AI developer who trains models and analyzes datasets to predict the next big thing and save millions in costs :)
⚡ Develop machine learning models and AI solutions for data-driven insights
⚡ Create data pipelines and ETL processes for efficient data processing
⚡ Build interactive dashboards and visualizations using PowerBI and other tools
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Veriquick is a dual-module verification platform consisting of a Streamlit-based upload portal and a scanning engine that uses OCR, pattern-matching, and QR metadata to validate Aadhaar/PAN documents. It integrates with cloud storage (Dropbox) and produces unique QR codes pointing to the stored file, enabling instant retrieval and authenticity checks.
The Real-Time Sales Analytics Dashboard is a Power BI project designed to provide dynamic insights into sales performance. It enables stakeholders to monitor key metrics, identify trends, and make informed decisions based on real-time data.
This project involves analyzing a Spotify dataset with various attributes about tracks, albums, and artists using SQL. It covers an end-to-end process of normalizing a denormalized dataset, performing SQL queries of varying complexity (easy, medium, and advanced), and optimizing query performance. The primary goals of the project are to practice advanced SQL skills and generate valuable insights from the dataset.
is a powerful analytics tool built using Streamlit, designed to help teachers and mentors analyze a student's performance be it academics or extracuirriculars from a given excel sheet format and it's free to use for all. Primarily designed to replace traditional hand to register checkout for scores and analysis.
This project covers all the problems and concepts of Data Structure thorugh implementation using python and utilising simulations using the book Data Structure and Algorithms by Brad Miller.
Hard Work has no substitution.
-Thomas Edison
Mastering the essentials of pythonic programming language and various functions. Building a robust foundation in application and algorithm development.
Gained hands-on experience in Data Analytics, mastering ETL, data cleaning, and visualization with Power BI, MS Access, and PostgreSQL.
Gained foundational knowledge in data analytics with advanced Excel functions including VLOOKUP, XLOOKUP, and data manipulation techniques.
Architected Power BI dashboards reducing waste by 23%. Engineered churn prediction model boosting retention by 18%.
Developed real-time sign language detection system using CNNs achieving 89% accuracy. Enhanced user engagement by 25%.
Conducted workshops on Python, data analysis, and ML. Supported community with hands-on coding sessions and hackathons.
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