Machine Learning Engineer | Python DeveloperClient : Apple Inc.(A) Automated ticketing system: 1) Developed and deployed a clustering model using the HDBSCAN algorithm in Python. Leveraged NLTK, SpaCy, PCA, and NLP libraries to optimize project outcomes through effective pattern recognition. 2) Built a classification model with sklearn's Naive Bayes and SentenceTransformer libraries for effective text analysis and categorization tasks. 3) Created a personalized NER(Name entity recognition) model, trained on industry-specific data, enhancing entity recognition for targeted applications.(B) Chat Bot development: 1) Built a user-friendly NLP ChatBot using Python and RASA framework to easily resolve customer queries. Extracted data from Apple client data, processed it with Pandas/NumPy, and leveraged the SentenceTransformer framework for efficient embedding. 2) Created a Python Swagger UI for easy RESTful API handling, managing queries across containers and Amazon S3 (Data base) to tweak chatbot responses. 3) Built a specialized module for spelling correction by customizing the TextBlob python library's source data.(C) Time Series Anomaly Detection: 1) Implemented Python-based ML pipelines for anomaly detection and prediction. Used Thanos for time-series data, Pandas/NumPy for preprocessing, Kubeflow AutoML for hyperparameter tuning, and MongoDB/AWS S3 for data storage. Applied machine learning and deep learning models (DeepAR, XGBoost, RandomForest) for effective project outcomes. 2) Implemented a module for one-hot encoding and label encoding to enhance the feature set for training ML models.❖Technical Skills:► Python► Domains:Machine Learning, Data science, NLP, Deep Learning ► Data Modelling:Pandas, NumPy, NLTK, spaCy, Scikit-learn, TensorFlow(Basics), RASA► Data Visualization:Matplotlib, Seaborn► Deployment: Flask, Kubernetes, Docker, Kubeflow(Basics), Git, Anaconda► Data Management: MongoDB, SQL(Basics)► Data Structures

➣ Designed and developed a frequency detector for phase-locked loop (PLL) as part of the M.Tech thesis project.➣ Conducted extensive research and analysis to understand the requirements and challenges of PLL design.➣ Utilized electronic software tools like Cadence Virtuoso for simulation, verification, and synthesis of the design.