Data Analyst
I Turn Data into Actionable Insights
Hi, I'm Deepesh, a dedicated data analytics professional with a strong foundation in Python, SQL, and statistical analysis. I specialize in transforming complex data into meaningful insights that drive strategic decision-making. My portfolio highlights a diverse range of projects, including unemployment analysis and AI-driven solutions, showcasing my ability to tackle real-world problems with data. With a passion for continuous learning and innovation, I'm committed to leveraging data to create impactful solutions and drive business success.
Skills
Experience
Education
Conduct comprehensive data analysis to extract meaningful insights and support data-driven decision-making. Utilize Python and Jupyter Notebook for data cleaning, transformation, statistical analysis, and visualization. Specialize in predictive and prescriptive analytics, including model development and evaluation.
Design and develop interactive dashboards using Power BI and Excel to visualize key performance metrics. Create intuitive visualizations that effectively communicate complex data insights to stakeholders.Integrate multiple data sources to provide a comprehensive view of business performance.
Develop and implement machine learning models for classification, regression, and clustering. Expertise in using Python libraries such as scikit-learn and TensorFlow to build, train, and evaluate models. Apply advanced validation techniques to ensure model accuracy and reliability.
I analyzed unemployment data, using Python libraries like pandas and numpy to clean and process datasets. By performing statistical analysis and creating visualizations with matplotlib and seaborn, I identified regional disparities, demographic impacts, and industry-specific trends, highlighting key areas for policy intervention.
Analyzed Unemployment data to identify trends and factors. Cleaned data, performed statistical analysis, and created visualizations.
I developed a predictive model in Python to estimate car prices using features like make, model, year, and mileage. By preprocessing the data and applying algorithms such as linear regression and decision trees, I optimized model performance, achieving high accuracy and providing valuable insights for strategic pricing.
Developed a predictive model to estimate car prices. Preprocessed data, applied machine learning algorithms, and evaluated performance.
I designed and developed an automated Power BI dashboard for a computer hardware business, analyzing data with SQL to track key metrics like revenue growth and regional sales performance. This dashboard enabled quick, data-driven decision-making, supporting strategic business planning.
Designed and developed an automated Power BI dashboard for a computer hardware business. Analyzed data with SQL.
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