NANDHINI HARIKUMAR

Experienced ML Engineer proficient in using advanced LLMs like Databricks/Dolly-v2-12B and OpenAI GPT models for policy document analysis and ecommerce product description generation. Skilled in image categorization and classification with VGG16 and ResNet50 for ecommerce websites. Experienced in predictive analysis and clustering tasks using linear regression, logistic regression, KMeans, and XGBoost algorithms. Proficient in object detection for ecommerce product image search with YOLOV4/V5/V9. Well-versed in database operations with Hasura, MongoDB, and MySQL. Experienced in Flask framework for web development. Adept in integrating neural networks into image processing models for enhancement. Proficient in NLP techniques for user and product-based recommendations. Experienced in report generation, hypothesis testing, and model evaluation. Comfortable with cloud platforms like AWS, GCP, and Azure for ML/AI deployment. Skilled in TensorFlow, PyTorch, scikit-learn, OpenCV, NLTK, and Prophet for advanced ML and DL tasks.

• Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction Removing corrupted data and fixing coding errors and related problems Assigning numerical value to essential business functions so that business performance can be assessed and compared over periods of time
• Developing and maintaining databases, data systems - reorganizing data in a readable format Health Insurance Prediction Based on the data from the customer, and with the previously insured data, to predict whether a person will take the insurance or not
• Preparing final analysis reports for the stakeholders to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends
• Performed Python Data Analysis with Pandas, Matplotlib, Seaborn, numpy Clients: Star Health Insurance, IndusInd Bank

• Coordinating with development teams to determine application requirements
• Writing scalable code using Python programming language
• Testing and debugging applications
• Developing back-end components
• Integrating user-facing elements using server-side logic
• Assessing and prioritizing client feature requests
• Integrating data storage solutions
• Coordinating with front-end developers
• Reprogramming existing databases to improve functionality
• Developing digital tools to monitor online traffic.

• Decision making where new products and services are concerned
• Reviewing current products/services
• Sourcing suppliers
• Supplier negotiations
• Making sure products/services get delivered on time and meet the required standards
• Performing UC ,PD and RC operations
• Clients : Palo Alto,Cleversafe, Violin and Panasas