Phani Kumar Email & Phone Number

Harrisburg, Pennsylvania, United States

• Worked with both unstructured/structured data Machine Learning Algorithms such as Linear, Logistic, Decision Tress, Random Forests, Support Vector Machines, Neural Networks, KNN, and Time series analysis.
• Automated data collection and cleaning processes, leading to a 50% reduction in data prep time.
• worked with Snowflake Schema, data modelling, and its components, as well as source-to-target mappings, interface matrices, and design elements. I have conducted data quality issue analysis using Snow SQL by.
• Conducted hypotheses testing to validate assumptions and guide business strategies, resulting increase in customer engagement.
• Used K-means clustering for grouping similar data and documented.
• Worked on Numerical optimization, Anomaly Detection and estimation, A/B testing, Statistics, NumPy, SciPy, Pandas, scikit-learn.

California, United States

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• Researched TensorFlow LSTM networks for speech recognition, OpenCV object tracking algorithms, and 11+ new technologies; enhanced 74% of a dancing robot's performance.
• Developed interactive dashboards using Data Studio to visualize store performance metrics, such as sales, foot traffic, and customer satisfaction.
• A Strong programming experience in developing SQL and PL/SQL codes through various Stored Procedures, Functions, Packages, Cursors, Indexes, Views, and Triggers to implement the business logic of databases.
• Researched and evaluated new machine learning technologies for a financial services client, resulting in the adoption of a new algorithm that improved fraud detection rates by 20%.
• Built a Chatbot using NLP that increased customer interaction by 70%.

India

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• Developed and maintained a machine learning pipeline for real-time data processing, resulting in a 50% reduction in data processing time and improved system efficiency.
• Improved data mining and automation by 45% using a scalable classifier by integrating predictive models and supervised and unsupervised learning algorithms.
• Created 15+ ETL pipeline (to train datasets) and 20+ ML pipelines with PyTorch, ski-kit-learn, and Numpy (training, assessing, and deploying models)
• Engineered a Natural Language Processing (NLP) model that increased the speed of text analysis by 60%.
• Developed and maintained a software library for a healthcare client, enabling data scientists to build and deploy machine learning models more efficiently and resulting in a 25% reduction in model development time. .

India

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• Collaborated with a team of data scientists and engineers to develop a natural language processing (NLP) algorithm for a healthcare client, improving patient diagnosis accuracy by 15% and reducing misdiagnosis rates by.
• Worked on Numerical optimization, Anomaly Detection and estimation, A/B testing, Statistics, NumPy, SciPy, Pandas, scikit-learn.
• Worked on training the data models, data cleaning and validation in Python.
• Developed classification data models in Python by pre-processing the data, cleansing, validating, and testing the data.
• Played a pivotal role in data migration projects, enabling smoother transitions to new analytics platforms.