Shivansh Tyagi

• Developed and maintained interactive dashboards and reports using Qlik Sense Hub, facilitating real-time data-driven decision-making.
• Collaborated with cross-functional teams to gather requirements and automate end-to-end workflows, improving operational efficiency.
• Built and managed data pipelines, ensuring seamless data integration and transformation.
• Administered the Dataiku platform, ensuring optimal performance and accessibility, Provided training and support across multiple departments on using Dataiku, Qlik Sense Hub and PowerBI enhancing overall data literacy and capability within the organization.
• Leveraged Dataiku for predictive modeling, machine learning, and advanced analytics to forecast trends and support business initiatives.
• Ensured data quality, accuracy, and consistency across all data projects, enhancing the reliability of business reports, Communicating findings to stakeholders, providing actionable insights to drive business growth.

Developed a Neural Network Model for Face Mask Detection

• Technologies Used: Python, TensorFlow, Keras
• Description: Built and trained a convolutional neural network to accurately detect the presence of face masks in images, contributing to a real-world application during the COVID-19 pandemic.
• Impact: Improved public safety by aiding in the enforcement of mask-wearing policies.

Conducted Exploratory Data Analysis (EDA)

• Technologies Used: Python, Matplotlib, Seaborn
• Description: Performed exploratory data analysis to uncover insights and patterns in data, which informed the development of machine learning models.
• Impact: Provided valuable data-driven insights to stakeholders, facilitating informed decision-making.

Optimized Machine Learning ModelsTechnologies Used: Python, Scikit-Learn
Description: Tuned hyperparameters and experimented with different algorithms to optimize the performance of machine learning models.
Impact: Achieved significant improvements in model accuracy and efficiency.