Bindu Priya Basa

Dynamic Infra Stability Engineer from Invesco Pvt Ltd, adept in Python and proactive problem-solving. Excelled in minimizing downtime by implementing BigPanda for incident management and developing monitoring solutions. Skilled in Python and effective communication, I significantly enhanced infrastructure stability through innovative real-time alert systems and data-driven decision-making.

Pyhton - udemy

Biometric Access mechanism 

• Led the design and implementation of a secure Biometric Access mechanism, integrating fingerprint and facial recognition technologies to enhance security and streamline access control across the organization.
• Collaborated with cross-functional teams to define project requirements, scope, and timelines. Conducted thorough research on the latest biometric technologies and industry best practices.
• Architected the overall system design, ensuring seamless integration of biometric sensors, databases, and access control software. Designed user-friendly interfaces for easy enrollment and authentication processes.
• Developed and integrated fingerprint and facial recognition modules using Python and relevant libraries Ensured compatibility with existing security systems and infrastructure.
• Implemented robust encryption techniques to protect biometric data during transmission and storage. Adhered to privacy and security regulations, maintaining user confidentiality and data integrity.

Technologies Used:  SQL, Encryption Techniques,Python[ Dlib (Fingerprint and Facial Recognition)],Sqlite3 ,Access Control Software.

Fake Instagram Profile Detection Project

• Created and implemented a sophisticated detection mechanism to identify fake profiles on social media platforms, specifically Instagram. Utilized data analysis and machine learning techniques to enhance platform integrity and ensure a safer user experience.
• Conducted extensive research on common characteristics and behaviors of fake profiles. Collaborated with cross-functional teams to define project requirements and success metrics.
• Collected and preprocessed large datasets from Instagram, including profile information, post statistics, and user interactions. Ensured data privacy and compliance with platform policies.
• Identified key features indicative of fake profiles, such as follower-to-following ratios, posting frequency, engagement rates, and content similarity. Engineered new features to improve model accuracy.
• Developed and trained various machine learning models using Python libraries such as Scikit-learn and TensorFlow. Compared model performance and selected the best-performing algorithm.
• Implemented the detection mechanism using a combination of Python and SQL. Created scripts to automate data retrieval, feature extraction, and model predictions.
• Generated detailed reports on detection results and system performance. Documented the entire process, including data sources, model selection, and implementation details for future reference.

Technologies Used: Python (Pandas,Numpy,Tensor flow, SciKit-Learn) , SQL ( Jupyter Notebook , Matplotlib ,Seaborn).

Biometric Access mechanism 

• Led the design and implementation of a secure Biometric Access mechanism, integrating fingerprint and facial recognition technologies to enhance security and streamline access control across the organization.
• Collaborated with cross-functional teams to define project requirements, scope, and timelines. Conducted thorough research on the latest biometric technologies and industry best practices.
• Architected the overall system design, ensuring seamless integration of biometric sensors, databases, and access control software. Designed user-friendly interfaces for easy enrollment and authentication processes.
• Developed and integrated fingerprint and facial recognition modules using Python and relevant libraries Ensured compatibility with existing security systems and infrastructure.
• Implemented robust encryption techniques to protect biometric data during transmission and storage. Adhered to privacy and security regulations, maintaining user confidentiality and data integrity.

Technologies Used:  SQL, Encryption Techniques,Python[ Dlib (Fingerprint and Facial Recognition)],Sqlite3 ,Access Control Software.

Fake Instagram Profile Detection Project

• Created and implemented a sophisticated detection mechanism to identify fake profiles on social media platforms, specifically Instagram. Utilized data analysis and machine learning techniques to enhance platform integrity and ensure a safer user experience.
• Conducted extensive research on common characteristics and behaviors of fake profiles. Collaborated with cross-functional teams to define project requirements and success metrics.
• Collected and preprocessed large datasets from Instagram, including profile information, post statistics, and user interactions. Ensured data privacy and compliance with platform policies.
• Identified key features indicative of fake profiles, such as follower-to-following ratios, posting frequency, engagement rates, and content similarity. Engineered new features to improve model accuracy.
• Developed and trained various machine learning models using Python libraries such as Scikit-learn and TensorFlow. Compared model performance and selected the best-performing algorithm.
• Implemented the detection mechanism using a combination of Python and SQL. Created scripts to automate data retrieval, feature extraction, and model predictions.
• Generated detailed reports on detection results and system performance. Documented the entire process, including data sources, model selection, and implementation details for future reference.

Technologies Used: Python (Pandas,Numpy,Tensor flow, SciKit-Learn) , SQL ( Jupyter Notebook , Matplotlib ,Seaborn).