This compilation represents a comprehensive showcase of my diverse analytical projects, meticulously crafted using an extensive suite of industry-standard tools including SQL, Excel, R Studio, Python (Pandas, NumPy, Matplotlib, Seaborn, Scikit-Learn), advanced machine learning frameworks (TensorFlow, Keras, PyTorch), cloud platforms (Snowflake, Salesforce), business intelligence tools (Tableau, Power BI with DAX), database systems (SQL Server, MySQL), automation technologies (VBA, Power Query), and statistical modeling environments. These endeavors span deep learning applications (neural networks, CNNs, RNNs, LSTMs), supervised and unsupervised machine learning, time series forecasting, financial modeling, digital marketing analytics (SEO, social media), business intelligence architecture, ETL data engineering, predictive risk modeling, customer analytics, operations research, and generative AI integration. My portfolio demonstrates end-to-end data solutions across finance, healthcare, supply chain, and business intelligence domains, showcasing both technical proficiency in cutting-edge analytical methodologies and strategic business impact through automated workflow creation, interactive dashboard design, process optimization, and data-driven decision support systems that drive measurable organizational outcomes..
Data scientist with practical experience in designing, tuning, and deploying predictive models for regression, classification, clustering, and deep learning tasks. Proficient in Python with libraries such as Pandas, NumPy, SciPy, Scikit-learn, TensorFlow, and Keras, as well as visualization tools like Matplotlib and Seaborn. Skilled in applying algorithms ranging from linear and logistic regression, ridge/lasso/elastic net, ensemble methods (Random Forest, Gradient Boosting), and clustering (K-Means, DBSCAN, Gaussian Mixture) to advanced neural networks with dropout, batch normalization, and wide & deep architectures. Strong focus on interpretability, model evaluation, and turning data into actionable insights.
These SQL projects focus on precise data management and efficient databases. By adding data accurately with INSERT statements and updating it in real-time with UPDATE statements, they ensure data reliability. DELETE statements remove unnecessary data, while views offer different data perspectives for various users. Forward engineering creates databases from models, and reverse engineering refines existing ones, collectively enhancing database functionality.
The presented set of intelligently designed Excel projects follows a similar methodology to ensure precise data and a dependable workflow. Much like SQL INSERT statements guarantee data integrity in databases, these Excel projects utilize various tools, such as formulas, data validation, conditional formatting, and visualizations. For instance, one project employs formulas to automate financial calculations while upholding validation rules. In another scenario, conditional formatting is utilized to signal project milestones, ensuring a smooth project management process. Similarly, data validation and drop-down lists are integrated into an inventory management project to prevent input errors. These techniques collectively maintain accurate data and prevent potential issues, reflecting Excel's adaptability and proficiency in diverse projects.
In my journey of Python programming, I've undertaken several engaging projects that have both honed my skills and brought practicality to the forefront. One notable creation was a Harry Potter-themed game that transported players into a wizarding adventure, showcasing my ability to design interactive and immersive experiences. Additionally, I developed a Celsius to Fahrenheit converter that demonstrated my grasp of basic algorithms and unit conversions, followed by a versatile price calculator highlighting my knack for crafting functional tools. Pushing further, a dynamic guessing game underscored my capability to incorporate user input and logic for interactive entertainment. In a more utilitarian vein, I engineered a phone book application, leveraging functions to seamlessly add, delete, and update contacts—an exercise that showcased my proficiency in creating efficient and user-friendly applications with real-world utility. These Python projects collectively embody my growth as a programmer, ranging from playful games to pragmatic solutions.
Embarking on various projects within R Studio has provided me with a comprehensive understanding of statistical analysis and data visualization. I embarked on projects that harnessed the power of different statistical analysis functions and libraries, including the dynamic capabilities of Plotly and the versatile visualizations of ggplot. For instance, conducting a Logistic regression test to explore the correlation between body fat percentage (PBF) and steroid use demonstrated my proficiency in hypothesis testing and interpretation of results. Delving further, I employed linear regression analysis to unveil the potential connection between study hours and exam grades, effectively showcasing my ability to derive insights from data relationships. Employing a chi-squared test to examine the correlation between zodiac signs and marital status was a testament to my competence in applying statistical techniques to diverse scenarios. Collectively, these R Studio projects underline my adeptness in harnessing various statistical analyses and libraries to extract meaningful insights and communicate findings through compelling visualizations..
My journey with Power BI has been characterized by the skillful fusion of data manipulation and visualization to tackle a diverse range of projects. Leveraging the power of Data Analysis Expressions (DAX) and intuitive data visualization tools, I've adeptly navigated through market data, business analytics, and various datasets requiring insightful visualization. One notable venture involved delving into market trends, utilizing DAX to compute complex metrics that shed light on key performance indicators and market dynamics. Equally impactful were my endeavors in the realm of business analytics, where I harnessed Power BI's capabilities to synthesize intricate datasets into comprehensible visuals, enabling informed decision-making. Whether unraveling intricate financial data or creatively translating intricate data sets into actionable insights, my Power BI projects showcased my proficiency in creating impactful visual narratives that empower businesses and individuals to make informed choices.
My exploration of Tableau has been marked by a seamless integration of data manipulation and visualization, enabling me to undertake a diverse array of projects spanning different domains. Capitalizing on Tableau's intuitive interface and advanced analytics capabilities, I've adeptly navigated through market data analysis, business intelligence, and various data-centric endeavors necessitating compelling visual representation. One significant project involved dissecting intricate market data trends, leveraging Tableau's features to create dynamic visualizations that uncovered critical insights into performance metrics and market trends. Similarly, in the domain of business analytics, I harnessed Tableau's prowess to synthesize complex datasets into clear, actionable visuals, empowering stakeholders to derive meaningful conclusions. Be it unraveling complex financial data or transforming multifaceted information into accessible insights, my Tableau projects exemplify my skill in translating data into impactful visual narratives that drive informed decision-making across diverse contexts.