Dhyey Patel

Highly skilled Data Analyst Post-Graduate with expertise in Python, Excel, SQL, and Tableau for ETL and impactful visualizations. Advanced knowledge of scikit-learn, NumPy, pandas, and TensorFlow. Meticulous, analytical mindset for accurate insights. Committed to driving innovation and data-driven strategies for organizational success.

Internship Trainee | The One Technologies | Ahmedabad | IND Dec 2018 – Apr 2019 

During my internship at The One Technologies, I gained hands-on experience in mobile app development. I contributed to building and enhancing mobile applications, leveraging various technologies and frameworks to create user-friendly and feature-rich mobile experiences. 

Personal Projects 

USA Aviation Accidents and Incidents (1997-2007) - Tableau Analysis o Leveraged Tableau to create interactive visualizations analysing a decade of USA aviation accidents and incidents data (1997-2007). o Developed user-friendly dashboards showcasing geographical distribution, causative factors, and outcomes of aviation accidents, enhancing understanding of safety trends. o Uncovered and visually communicated high-risk regions and prevalent contributing factors, aiding aviation professionals in targeted safety improvements. o Shared project results on Tableau Public, expanding awareness of aviation safety challenges and receiving positive feedback for clear and informative visuals. 

Recycle Mates - Python Project 

Developed a cutting-edge system utilizing Object Detection and Convolutional Neural Network (CNN) models to empower Windsor residents to upload recyclable item images, enabling real-time item valuation and promoting sustainable waste management. o Created a user-friendly platform where residents can determine the value of recyclable items and identify nearby pick-up points, contributing to a cleaner urban environment and fostering employment opportunities within the recycling sector. o Leveraged Shiny for Python to enhance the project's prototype, resulting in an interactive and userengaging platform. Users can effortlessly upload images, access pick-up locations, and actively participate in recycling efforts. o Designed the system to encourage recycling habits among users, thereby reducing waste and promoting a more sustainable lifestyle. Additionally, by enabling users to locate pick-up points, the project has paved the way for new income sources. 

Car Price Prediction – Python Project. 

Executed a comprehensive project employing Random Forest Regression (RFR) to achieve precise car price predictions by analyzing crucial features such as mileage, brand, model, and year. o Implemented RandomizedSearchCV to fine-tune and optimize the RFR model's hyperparameters. This strategic approach significantly improved the accuracy of car price predictions, ensuring optimal performance. o Conducted an in-depth analysis of key features, including mileage, brand, model, and year, to develop a robust predictive model. This analysis contributed to more insightful and data-driven car price forecasts. o Utilized RandomizedSearchCV to systematically explore various hyperparameter combinations, resulting in an optimized RFR model. This process streamlined the model refinement phase, enhancing predictive capabilities.

Customer Personality Analysis – Python Project. 

Employed Python programming language and Pandas library to perform comprehensive data cleaning and processing, ensuring accurate and reliable input for subsequent analysis. o Utilized advanced clustering algorithms to segment customers based on their distinct personality traits, enabling the development of precise and personalized marketing approaches. o Translated the insights gained from personality-based customer segmentation into targeted marketing strategies, effectively reaching different customer groups with messages aligned to their preferences and behaviours. o Applied clustering techniques to uncover underlying patterns and trends within customer data, empowering data-driven decision-making and fostering more effective resource allocation.

Postgraduate Diploma in Data Analytics for Business | St Clair College, Windsor, ON. o 2022 – 2023. • Bachelor’s degree in information technology | Dharmsinh Desai University, Nadiad, IND o 2015 – 2019