I am a Data Scientist with a strong foundation in data analysis, machine learning, Python, SQL, and data visualization. I specialize in extracting insights from complex datasets, building predictive models, and creating interactive dashboards that make data-driven decisions easier and more impactful.
My experience covers the entire data science workflow—from exploratory analysis and feature engineering to model development, deployment, and reporting through dashboards. I am passionate about designing solutions that are technically sound, scalable, and tailored to real-world business and research needs.
Collected real-world data from students via Google Forms and performed cleaning and preprocessing using Python, Pandas, and NumPy. Conducted statistical analysis and EDA with Seaborn and Matplotlib in python to extract insights, then trained a Machine Learning model to predict student GPA. Built a dashboard based on insights extracted from data analysis on tableau. Developed and deployed a Flask-based web app on Vercel, enabling real-time GPA predictions through an interactive user interface.
Designed professional sales dashboards in Google Looker Studio, Tableau and IBM Cognos to visualize key metrics, enabling data-driven business insights and reporting.
Utilized and implemented different AI search strategies in python, so a computer could solve a Maze, blindly.
Designed and implemented a modular gaming arcade in Python, developing multiple Python-based games and integrating them into a unified system with a menu-driven interface for seamless gameplay selection.
Advanced Python development with expertise in data manipulation, statistical analysis, and automation. Proficient in comprehensive data science libraries and big data processing frameworks.
Comprehensive ML expertise using Scikit-learn library. Building and deploying predictive models with advanced algorithms for classification, regression, and clustering.
Expert in SQL for complex data extraction, transformation, and analysis. Experience with data warehousing, ETL processes, and database optimization.
Creating interactive dashboards and compelling visualizations using Power BI, Looker Studio, and Python libraries (Matplotlib, Seaborn, Plotly).
Advanced Excel skills for data analysis, pivot tables, VBA automation, and business intelligence. Creating dynamic reports and dashboards.
Strong foundation in statistical methods, hypothesis testing, A/B testing, and experimental design. Translating data insights into actionable recommendations.
Comprehensive EDA skills for uncovering patterns, detecting anomalies, and understanding data distributions. Creating insightful visualizations and statistical summaries.
Proficient in industry-standard tools and platforms including Google Colab, Kaggle, Jupyter Notebooks, and Git for collaborative data science projects.