Alok Kumar Rastogi

Adaptable Computer Science Engineer ready to tackle diverse projects and variable production realities. Carefully manages internal personnel and third-party contractors to produce cohesive and optimized final project results. Committed to reducing completion times, budgetary impacts and success rates.

Results-oriented Associate Process Leader with a proven track record of optimizing operational efficiency and driving cross-functional collaboration. Possessing a strong foundation in process improvement, team leadership, and strategic problem-solving. Eager to leverage my analytical mindset, coupled with a keen eye for detail, in the dynamic field of Data Analytics and Management.

• Neural Networks and Deep Learning, 06/2020, 07/2020, Coursera, MW2JHWGFDKQF
• Using Python to Access Web Data, 09/2020, 10/2020, Coursera, 6ZDWV3ATQHRA
• Introduction to the Internet of Things and Embedded Systems, 05/2020, 06/2020, Coursera, 459QSEGSPWYV
• Python Data Structures, 08/2020, 09/2020, Coursera, ADQLANKPG8FL
• The Arduino Platform and C Programming, 05/2020, 06/2020, Coursera, G84ERTE7Y7VB
• Programming for Everybody (Getting Started with Python), 07/2020, 08/2020, Coursera, KCSX2NTW75ZF

Paper Published:

• Survey Paper on Retail Store Object Detection
• JETIR2306901

• Achieved a 20% improvement in process efficiency by implementing advanced data analysis techniques, ensuring accuracy and efficiency in streamlining supply chain operations.
• Supervised a team of 4 staff members, implementing data-driven performance metrics and analytics tools to optimize team efficiency and project success in the delivery of a critical client engagement.
• Documented and resolved data quality issues in the CRM system, which led to a 15% increase in data accuracy and improved decision-making processes across the organization.
• Collaborated with a team of 10 professionals in the development of the "Customer Insights Dashboard" project, implementing data-driven strategies to enhance customer satisfaction and increase retention rates.
• Participated and won many Extra-curricular activity certificates in school- Debate, Acting, Sports.
• Conducted and lead the school assembly. Also was lead Choir member of the school.

• BMS College of Engineering, 07/19-06/23
• Tutedude, 10/21-11/21
• Omni Ice cream 05/23-7/23
• Brane Enterprises 08/23-Present

• Reading
• Table Tennis
• Travel
• Cooking
• Programming
• Technology

Web Development (Reviewers Check post)-Front End Development

• Developed a responsive and visually appealing website with HTML, CSS, and JavaScript, ensuring a seamless user experience across various devices and browsers.
• Implemented interactive features and dynamic content, enhancing user engagement and navigation on the platform.
• Collaborated with a cross-functional team to incorporate user feedback, resulting in continuous improvements to the front-end design.

Web app development (Movie-flix)-Web Development

• Led the end-to-end development of the "Movie-flix" web application, incorporating user authentication, a comprehensive database, and a user-friendly interface for movie browsing and selection.
• Implemented backend functionalities using technologies such as Node.js and Express, ensuring efficient data retrieval and seamless integration with the front-end.
• Conducted user testing and gathered feedback, leading to iterative improvements and enhancements in response to user preferences and trends.

Machine Learning Model for Clustering Algorithm (RM-K-means)- Data Analysis

• Developed a machine learning model utilizing the RM-K-means clustering algorithm to analyze and categorize complex datasets.
• Conducted extensive data preprocessing and feature engineering to enhance the model's accuracy and efficiency.
• Presented findings and insights derived from the clustering algorithm, providing valuable information for decision-making processes in various domains.

Retail Store Object Detection- Computer vision ,Image processing and Machine Learning

• Implemented a computer vision solution for retail store object detection, utilizing image processing techniques and machine learning algorithms.
• Trained the model on a diverse dataset to accurately identify and classify objects within a retail environment.
• Demonstrated the system's effectiveness in real-world scenarios, showcasing its potential for enhancing security and optimizing inventory management in retail settings.

• BMS College of Engineering, 07/19-06/23
• Tutedude, 10/21-11/21
• Omni Ice cream 05/23-7/23
• Brane Enterprises 08/23-Present

• Reading
• Table Tennis
• Travel
• Cooking
• Programming
• Technology

Web Development (Reviewers Check post)-Front End Development

• Developed a responsive and visually appealing website with HTML, CSS, and JavaScript, ensuring a seamless user experience across various devices and browsers.
• Implemented interactive features and dynamic content, enhancing user engagement and navigation on the platform.
• Collaborated with a cross-functional team to incorporate user feedback, resulting in continuous improvements to the front-end design.

Web app development (Movie-flix)-Web Development

• Led the end-to-end development of the "Movie-flix" web application, incorporating user authentication, a comprehensive database, and a user-friendly interface for movie browsing and selection.
• Implemented backend functionalities using technologies such as Node.js and Express, ensuring efficient data retrieval and seamless integration with the front-end.
• Conducted user testing and gathered feedback, leading to iterative improvements and enhancements in response to user preferences and trends.

Machine Learning Model for Clustering Algorithm (RM-K-means)- Data Analysis

• Developed a machine learning model utilizing the RM-K-means clustering algorithm to analyze and categorize complex datasets.
• Conducted extensive data preprocessing and feature engineering to enhance the model's accuracy and efficiency.
• Presented findings and insights derived from the clustering algorithm, providing valuable information for decision-making processes in various domains.

Retail Store Object Detection- Computer vision ,Image processing and Machine Learning

• Implemented a computer vision solution for retail store object detection, utilizing image processing techniques and machine learning algorithms.
• Trained the model on a diverse dataset to accurately identify and classify objects within a retail environment.
• Demonstrated the system's effectiveness in real-world scenarios, showcasing its potential for enhancing security and optimizing inventory management in retail settings.