Shreyasi V Data Scientist | AI Engineer | Data Engineer | Data Analyst |

Data Scientist

Cisco

Oct 2022 - Current (3 years 10 months)

Contributed to requirement analysis, development, migration, and maintenance of data-driven applications following SDLC standards using Python. Delivered end-to-end data science solutions, including data acquisition, cleansing, feature engineering, model development, validation, and visualization. Performed data ingestion, parsing, and transformation using Pandas, regex, merging, reshaping, and reindexing to prepare high-quality datasets. Built fraud detection and predictive models using machine learning algorithms such as SVM, Logistic Regression, Decision Trees, Random Forest, Naïve Bayes, K-Means, and XGBoost. Leveraged AWS services, including S3, EC2, Lambda, DynamoDB, SageMaker, and Snowflake to build, train, and deploy scalable cl

AI Engineer

The State of New York

Jul 2019 - Sep 2022 (3 years 3 months)

Conducted end-to-end data analysis, including validation, cleansing, verification, imputation, and mismatch identification using Python, Pandas, NumPy, and Scikit-learn to ensure high data quality and integrity. Built and deployed predictive, classification, and clustering models using machine learning algorithms such as Logistic & Linear Regression, Lasso/Ridge, Decision Trees, Random Forest, KNN, SVM, Naïve Bayes, XGBoost, K-Means, and Ensemble Learning to address complex business problems. Developed deep learning and neural network models using TensorFlow and Keras for applications including fraud detection, image recognition, healthcare analytics, and customer behavior prediction. Processed large-scale structured and unstructured dat

Data Engineer

Verizon

Nov 2017 - Jun 2019 (1 year 8 months)

Facilitated agile ceremonies like Daily Stand-ups, Sprint Planning, and Reviews, driving team collaboration and project efficiency. Collaborated with data engineers to design and optimize ETL processes, writing SQL queries to ensure data extraction met analytical needs. Built database models, APIs, and Views with Python for web-based solutions, improving user experience and data integration. Conducted univariate and multivariate analysis to identify key data patterns, providing insights for data-driven decision-making. Used Python libraries (Pandas, Numpy, Seaborn, Scikit-learn) to develop predictive models, including XGBoost, for data analysis. Designed Snowflake schema for scalable data warehouses, enhancing data storage and query ef

Data Analyst

Mercury Insurance

Oct 2015 - Oct 2017 (2 years 1 month)

Conducted data analysis and migration for customer segmentation, enabling targeted marketing and improved customer engagement. Utilized Python (Pandas, Numpy, Scikit-learn, Seaborn) for data cleaning, statistical analysis, and model development. Developed ETL pipelines to extract, transform, and load data, ensuring it was clean and ready for analysis. Built scalable predictive models for data mining using statistical algorithms, driving insights from large datasets. Automated data workflows using ETL tools, reducing manual work and improving processing efficiency. Created validation scripts for financial data, boosting pipeline efficiency by 17% and ensuring accuracy. Applied predictive analytics for pricing optimization, helping clie

Python Developer

Morgan Stanley

Feb 2014 - Sep 2015 (1 year 8 months)

Built scalable ETL pipelines with Informatica and custom Python scripts to load financial data into MySQL, optimizing reporting and audit processing speeds. Designed and managed data warehouses on MySQL, applying partitioning and indexing strategies to improve query performance. Developed Python scripts for automating ingestion, reconciliation, and transformation of financial data from sources like Bloomberg and Reuters, ensuring data accuracy and efficiency. Created cron-based schedulers on Linux to automate data ingestion, archiving, and validation, reducing manual tasks and ensuring timely execution. Built and deployed REST APIs using Flask and Apache to expose financial insights for integration with BI tools. Modeled financial data

Shreyasi V

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