Abhishek Rana

[Udemy] Machine Learning A-Z by Krill Eremenko and Hadelin de Ponteves [Present]

[Udemy] 365 Careers Data Science Bootcamp [July, 2023]

Co-head, Institutional Innovation Council , Himachal Pradesh University, 08/01/22, 12/31/23.

• Led a team of 20 members in planning, organizing, and executing innovation and entrepreneurship initiatives. Coordinated workshops, seminars, and guest lectures to foster a culture of innovation.

Co-head, Resource Procurement for college fest , University Institute of Technology, 10/01/23-10/31/23.

• Contributed to the success of college fest by effectively managing resource procurement activities like venue arrangement, equipment and supplies, vendor coordination, etc. Collaborated with multiple teams to understand their specific requirements, ensuring timely and efficient resource allocation.

Volume and Brightness Control Using Hand Gestures [https://github.com/AbisekRana/Volume_and_Brightness_control] • November 2023 - November 2023

• Spearheaded the development of a real-time control system that leverages computer vision techniques and machine learning to interpret hand gestures for adjusting volume and screen brightness.
• Integrated OpenCV for image processing and Google’s MediaPipe for building machine learning pipelines, demonstrating proficiency in advanced programming libraries.
• The project underscores the potential of intuitive, gesture-based interfaces in enhancing user experience and interaction with technology. It showcases the application of advanced technologies in creating innovative, user-friendly solutions.

Recur-Predict  [https://github.com/AbisekRana/Recur-Predict ] • August 2023 - September 2023

• Led the development of a predictive model aimed at forecasting customer return behavior, providing valuable insights to enhance retention strategies.
• Utilized a combination of numpy and pandas for data manipulation, scikit-learn for machine learning algorithms, and TensorFlow for building and training the model.
• The project underscores the application of data science and machine learning in understanding customer behavior and informing business strategies. It demonstrates the ability to leverage advanced programming libraries to derive actionable insights from data.

Absentia-Predict [https://github.com/AbisekRana/Absentia-Predict] July 2023 - August 2023  

• Spearheaded a project aimed at predicting absenteeism in the workplace, leveraging data science methodologies and machine learning techniques.
• Developed a robust predictive model using Python libraries such as NumPy, Pandas, Scikit-Learn, and Pickle, demonstrating proficiency in handling and processing large datasets.
• Implemented a comprehensive data preprocessing and feature engineering pipeline to optimize the dataset for machine learning algorithms, enhancing the model’s predictive accuracy.
• The project resulted in a deeper understanding of absenteeism patterns, providing valuable insights that can be used to improve workplace productivity and employee well-being.

Table-tennis, reading, football and hiking.