Deepthi Sankepalli Email & Phone Number

My journey to success isn't a tale of a single day; it's a continuous swim in the vast ocean of Data Science, where I've climbed a ladder with each step forward.Here is my technical summary - A skilled Data Scientist with 4 years in model building with total of 14+ years IT experience and having passion for leveraging cutting-edge technologies to solve complex problems. Expertise in Python, SQL, and Machine Learning, very good understanding of extracting insights from large datasets and developing predictive models. Proficient in tools like Tableau, Matplotlib, Seaborn to visualize data effectively, knowledge of Flask to build robust web applications for data analysis. Excited to be part of deployment teams, explored MLOps, Kubernetes containerization, A/B testing. Skill set:Languages- Python, C# Machine Learning libraries - ScikitLearn, Pandas, Numpy, Matplotlib, Seaborn, Scipy, TensorFlow, Keras, AutoMLNatural Language processing- NLTK, Spacy, PyTorch, Transformers, LLM, BERT, RoBERTa, LangchainDatabases- SQL- No SQL: MongoDB, InfluxDB Cloud- AWS S3, EC2, VPC- KubernetesData Visualization- Tableau- Splunk- GrafanaHighlights: • NLP 5G sentiment analysis for T-Mobile client Labeled data - Applied Support Vector SVM, Logistic Regression, Named Entity Recognition (NER), Word2Vec, TF-IDF Vectorizer and achieved 86.36% accuracy.  Unlabeled data - Libraries of #NLTK, TextBlob, Transformers, LLMs, pre-trained HuggingFace BERT/RoBERTa used and resulted 10-12% quarterly improvement for business use case. • Order Trends Time Series forecasting: Performed Time-Series forecasting using ARIMA, SARIMA, Facebook Prophet models with ~89% MAPE.HTTP 400 Error Token Response codes: Converted time-series data into Supervised learning data. Applied bagging, boosting techniques along with Fine-tuning • Responsible Team Lead for application maintenance, Django queues, code reviews, git repos, CI/CD pipelines and REST API failures, collaborate with DataEngineers to create new pipelines.• MLOps – Model deployments using Docker, Kubernetes, CI/CD pipelines.• Translated end user needs into a ML product and sharing Tableau insights.• Completed Master's degree in DataScience to deepen my expertise towards AI.• Continuing my studies to PG level Advanced Generative AI which is in collaboration with IISC Bangalore.