Data, AI & ML engineer with experience in designing and developing machine learning models for image recognition, natural language processing, and predictive analytics. Proficient in Python, TensorFlow, PyTorch, scikit-learn, and Tableau. Strong analytical and problem-solving skills. Passion for delivering innovative and impactful AI solutions.
Data Acquisition: Develop web scraping scripts and APIs for data retrieval.
Database Management: Design and maintain databases, ensuring security and performance.
Data Processing: Develop algorithms for efficient data processing and analysis.
Automation: Write scripts to automate tasks like data cleaning and transformation.
Infrastructure: Deploy and manage data infrastructure on cloud platforms.
Collaboration: Work with teams to understand requirements and deliver solutions.
Continuous Improvement: Stay updated on industry trends and adopt new technologies for efficiency and scalability.
Amazon Review Analyser
Analysis of customer reviews by using deep learning models. Successfully classifying the sentiment of a reviews.
SpaceX Falcon9 Prediction
Developing a machine learning model to predict SpaceX Falcon 9 booster
landing outcomes, coupled with an interactive dashboard for real-time
visualization and analysis of landing performance.
Linkedin profiles crawler and tracker
Developed a LinkedIn profile scraper tailored for C-level executives within leading organizations. Leveraged the scraper to monitor career shifts among executives, streamlining the process of identifying suitable candidates for executive recruitment and facilitating potential client onboarding. This initiative is pivotal for enhancing enterprise business growth as it enables the tracking of existing customers' executive transitions, offering insights for engaging with potential new clients and expanding business opportunities.
Chat Bot
Creating an AI-powered chatbot for food delivery, streamlining customer
interactions, order processing, and enhancing overall user experience.
Faster and more accurate order processing, increased customer
satisfaction, reduced customer support workload, and improved overall
efficiency of the food delivery system.