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Click here or scroll down to respond to this candidateCandidate's Name
PHONE NUMBER AVAILABLE EMAIL AVAILABLE LINKEDIN LINK AVAILABLEEducationArizona State University Aug Street Address Aug 2023Master of Science in Information Technology Tempe, AZ Relevant Courses: Analyzing Big Data, Advanced Big Data and AI, Data Visualization, Cloud Architecture, Advanced Database Management System, Data in Cloud, Natural Language Processing. Nitte Meenakshi Institute of Technology Aug Street Address Sept 2020 Bachelor of Science in Computer Science Bangalore, KA Relevant Courses: Data Warehouse and Data Mining, Database Management System, Big Data Analytics, Cloud Computing, Operating Systems, Computer Network.Technical SkillsLanguages: Python, SQL,ScalaSkills: Data Mining, Data Visualization, Data Preprocessing, Natural Language Processing, Machine Learning, Deep Learning, Artificial Intelligence, Computer Vision, Unsupervised Learning, Supervised Learning, Statistics,A/B testing.Data Storage: SQL Server Management Studio, Couchbase, AWS DynamoDB, Apache Spark. Libraries: NumPy, SciPy,Scikit-learn, statsmodels, Pandas, PyTorch, Pyspark, keras, TensorFlow, NLTK, OpenCV, Matplotlib, Seaborn, ggplot.Cloud: AWS VPC, AWS LightSail, AWS S3, Route53.Tools: Tableau, Jupyter Notebook, Microsoft Excel, Microsoft Projects, Databricks. Certification: Azure Databricks for Data Engineering Certificate from Microsoft (Coursera, 2023) ExperienceData Engineer Jan 2024 - PresentQuadrant Resources Redmond, WA Designed and engineered a sophisticated prototype model tailored for hierarchical forecasting, strategically employing advanced analytical techniques to meticulously dissect sales trends across diverse organizational segments. Implemented and fine-tuned the model to generate forecasts for each combination of every hierarchy, providing granular insights into sales dynamics at different hierarchical levels. Evaluated the models performance using metrics like forecast variance, ensuring accurate predictions and facilitating data-driven decision-making in inventory management and sales strategies. Data Scientist Jun 2023 - Jan 2024Tek Gigz Frisco, TX Spearheaded the implementation of decision tree models in PySpark within Databricks to predict customer churn for a telecommunications company, achieving an accuracy rate of 86.6%. Engineered robust data processing pipelines, integrating components like DecisionTree Classifier, VectorIndexer, and StringIndexer to preprocess data and optimize quality, effectively predicting overall churn rate. Led and directed comprehensive data analysis, time series exploration, and Tableau visualization efforts to deliver actionable insights and effectively address critical business inquiries. Collaborated closely with cross-functional teams to gather requirements, prioritize projects, and drive process improvements, utilizing advanced programming languages for data management and extraction. Data Scientist Intern Aug 2022 - Jun 2023Eitacies Inc Santa Clara, CA Collaborated with cross-functional teams to develop a machine learning proof-of-concept for real-time video meeting tracking and sentiment analysis, leading requirements sessions and coordinating efforts between teams. Built an end-to-end pipeline extracting, preprocessing, and reducing duplicate video frames over 400% via redundancy algorithms to classify facial expressions using fine-tuned neural networks, optimizing for speed and storage. Implemented a real-time facial image processing loop to extract frames, predict emotions with the model, and maintain customer sentiment scores over time. |
