Hardikkumar Dhaduk Email & Phone Number

Ahmedabad, Gujarat, India

• Apply data analysis skills to perform analysis on ticket reselling products and analyze ticket data from different primary markets such as Ticketmaster, SeatGeek, Broadway, Metopera, and Others. Collect and manage data.
• Analyze ticket data to identify patterns, trends, and relationships within the data that could provide insights into improving ticket-selling operations and performance.
• Create reports and visualizations (Data Dashboard) that communicate insights gained from ticket-selling data and raw data collected from primary and secondary markets.
• Develop predictive models that forecast future trends in ticket sales and other key metrics to help the company make data-driven decisions.
• Identify opportunities for improvement in areas such as pricing, marketing, and operations, and collaborate with other teams to implement changes that improve the product's overall performance.

Rajkot, Gujarat, India

• Perform data analysis on mobile gaming data and collect insights on user behavior to take business decisions.
• Collect, clean, and transform data from various sources, including real-time analytic platforms, utilizing SQL and BigQuery to manipulate and analyze data.
• Utilize visualization tools such as Microsoft Power BI and Data Studio to create informative dashboards and reports for stakeholders.
• Collaborate with cross-functional teams to understand their requirements and provide data-driven recommendations based on A/B testing and other relevant data.
• Analyze KPIs to ensure business objectives are met and make data-driven recommendations to improve performance.

Banglore

• During the internship, I worked on Python Programming, Exploratory Data Analysis (EDA), and Data Visualization and also gained knowledge on Machine Learning algorithms.
• Developed a project on “Heart Disease Prediction” where I used this method, tool, and language.

Bangalore, Karnataka

• During this internship period conducting research on machine learning algorithms for face recognition.
• Implementing the algorithm using Python and OpenCV.
• Testing and optimizing the system to improve accuracy and efficiency.
• Designed “Face Recognition” using a machine learning-based algorithm, to detect and recognize the human face. The framework was based on recognizing a person using facial features.

Rajkot Area, India

• Participated in the complete Software Development Life Cycle (SDLC) for proper analysis, development, testing, deployment, and enhancement of the code.
• Also, played a key role in developing native Android apps using Android Studio & Android (SDK). Analyze user interface and consult with the client.
• Professionally completed tasks or projects in a given time period. Also, followed up by testing (user interface, errors with all possible inputs, debugging, publishing) apps after project completion.

During the internship I have Design, develop and execute Android mobile applications in Java and XML also Integrate a project with voice API, "OK Google" voice searches & actions API and Translation API.

Master'S Degree, Data Engineering And Cloud Computing

Bachelor Of Engineering (Be), Computer Engineering

Diploma, Computer Engineering