AI Innovations
Exploring diverse applications of AI and machine learning solutions.
Projects
Explore diverse projects leveraging AI and machine learning technologies.
Natural Language Processing
This project exemplifies the application of cutting-edge AI technologies in solving real-world business problems. It not only improves the day-to-day operations of customer support teams but also plays a strategic role in shaping customer relationships and business growth. Through its innovative use of technology and strategic focus, the Support Ticket Categorization project sets a benchmark for future initiatives in the realm of customer service and business intelligence.
Skills & Tools Covered
Computer Vision
Build a robust image classifier using CNNs to efficiently classify different plant seedlings and weeds to improve crop yields and minimize human involvement.
Skills & Tools Covered
Neural Networks
Analyze the customer data, build a neural network to help the operations team identify the customers that are more likely to churn, and provide recommendations on how to retain such customers. Improvement the model performance using Adam Optimizer, Adam optimizer and Dropout, Balanced Data (by applying SMOTE) and SGD Optimizer, Balanced Data (by applying SMOTE) and Adam Optimizer, and Balanced Data (by applying SMOTE), Adam Optimizer and Dropout.
Skills & Tools Covered
Advanced Machine Learning
Undersample and oversample the train data. Analyze the data and develop a predictive model using hyperparameter tuning to determine if a customer will leave the credit card services and why.
Skills & Tools Covered
Machine Learning
Analyze the data provided and build a predictive model by using a decision tree and post and pre-pruning that will help to identify the customers of a bank who have a higher probability of purchasing a loan.
Skills & Tools Covered
Exploratory Data Analysis
Explore all the variables and provide observations on their distributions. (Generally, histograms, boxplots, countplots, etc. are used for univariate exploration
Skills & Tools Covered
Work Experience
Developed and maintained Django applications using Python on Linux.
Implemented image recognition using TensorFlow, Keras (VGG16, transfer learning), and YOLO v7.
Employed Tesseract OCR and KNN for digit recognition with image preprocessing.
Engineering
AI and ML Focus
My work integrates software development with data science to enhance business applications.
Occupational Therapy Background
Former Occupational Therapist specializing in child development, sensory integration, and stroke rehabilitation.
First Position
Second Position
Developed internal management systems using PHP.
Managed MSSQL and MySQL databases.
Integrated systems through API and database connections.
Used Git for version control and collaborative development.
Extracted and processed data for report generation.