Turning data into insights | Python, SQL, Power BI | Projects in Data Cleaning, Visualization & Generative AI
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Assessing your cultural and operational fit
Electronics-EDA-using-SQL
June 3, 2026 – Present
End-to-end Exploratory Data Analysis on an electronics e-commerce dataset using MySQL covering data cleaning, univariate, bivariate, and multivariate analysis with stored procedures and window functions.
View ProjectEHIAS---Hospital-Database-Migration-and-Automation-MySQL-
May 15, 2026 – Present
Relational database system built in MySQL to migrate a 10,000-row hospital Excel file into a normalized schema with role-based access control, appointment scheduling triggers, and monthly revenue reporting.
View Projectworld-indicators-dashboard
May 2, 2026 – Present
Real-time global indicators dashboard built with Python and Power BI using live World Bank API data.
View Projectinventory-supply-chain-dashboard
March 31, 2026 – Present
Python + Streamlit + MySQL dashboard for inventory and supply chain management with stored procedures, views, and real-time operations.
View ProjectGlobal-Cancer-EDA-Analysis
March 14, 2026 – Present
Exploratory Data Analysis and Inferential Analytics on 50,000 global cancer patient records (2015–2024) | Python · Pandas · Seaborn · Scikit-learn · SciPy
View ProjectRealtime-BTC-Dashboard
February 9, 2026 – Present
Real-time Bitcoin trading dashboard using Python, WebSocket streaming, and Streamlit. Captures live BTC-USDT trades from Binance and visualizes price movement, volume, and market pressure.
View ProjectMusic-Tours-Dataset-Data-Cleaning-Feature-Engineering
February 7, 2026 – Present
Cleaned a real-world messy Kaggle dataset by standardizing column names, removing embedded citation noise, converting currency fields to numeric, parsing mixed year ranges into start and end year features, and validating the final schema for analysis readiness using Python and pandas.
View Projectnetflix-data-cleaning-analysis-visualization
February 7, 2026 – Present
Exploratory data analysis of Netflix titles dataset focusing on content trends, genres, countries and audience maturity using Python and Pandas.
View ProjectDS-Customer-Churn-Prediction
January 31, 2026 – Present
End-to-end customer churn prediction project using EDA, feature engineering, Logistic Regression and Random Forest, including model evaluation, ROC/PR analysis and decision-threshold tuning.
View ProjectDS-Car-Price-Prediction
January 30, 2026 – Present
Machine learning project to predict used car prices using structured vehicle listing data. Includes exploratory data analysis, feature engineering (car age, encoded categorical features), linear regression and random forest models, and model evaluation with error metrics and feature importance.
View ProjectCultural Fit Analysis
The candidate has a strong portfolio of personal projects demonstrating initiative and a passion for data science. The diversity of projects (dashboards, EDA, prediction models, database management) indicates a broad interest within the data domain. However, the lack of professional experience or team-based projects makes it challenging to fully assess cultural fit in a collaborative work environment. The experience level is 0, which might indicate a junior profile for a senior role.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and hands-on approach to learning and applying data science concepts. The focus on personal projects suggests self-motivation and problem-solving skills. However, without psychometric test results or interview data, it's difficult to assess stress handling, team collaboration, or work attitude.