Saketh Nadriga Email & Phone Number

Chantilly, Va, Us

Washington Dc-Baltimore Area

United States

In this role, I use Python and appropriate libraries for exploratory data analysis, as well as SQL for data storage, integration, modification, and querying. I also employ supervised learning approaches, such as linear and logistic regression, process data and build AI solutions to solve business difficulties. I use Python data engineering and machine learning frameworks such as TensorFlow, Scikit-Learn, PyTorch, OpenCV, and Pandas. I efficiently oversee user permissions, groups, and rulesets within enterprises using identity systems (SailPoint, Okta, and CyberArk). I create presentations on client investment strategies utilizing EDA ideas and database tools such as SQL.Prominent Accomplishments: • Graduated from the Deloitte AI Academy, completing a new program to elevate AI professionals in workforce, developed in collaboration with Virginia Tech.• Reduced overfitting in machine learning models and enhanced result reliability with methods, such as cross-validation, hyperparameter tuning, feature engineering, and regularization.• Facilitated team in creating American Sign Language Translation Tool using Convolutional Neural Network, capable of translating grayscale hand sign images into readable text on computers.• Acquired solid expertise in data comprehension, data preprocessing, data analysis, code optimization, and data preparation for machine learning ingestion and model validation.

Herndon, Virginia, United States

During this tenure, I keenly compiled and categorized data using Python to read data from multiple Excel sheets and automate operations that required manual calculations. I also designed and implemented an automated workflow for scanning S3 bucket folders, ingesting data, and archiving.Major Achievements:• Utilized Python and Pandas to cleanse and validate data before merging it into delta tables.• Worked on a project ingesting and merging data from several Excel spreadsheets into a datalake in the Databricks Lakehouse platform.

Herndon, Virginia, United States

In this period, I arranged daily meeting sessions, assisted with administrator-related concerns, responded to email inquiries, and distributed weekly exams to Cohorts to assess PEGA understanding.Basic Contributions:• Improved proficiency in using PEGA, a low-code emphasis tool.• Addressed complex programming challenges by utilizing PEGA, focusing on low-code approach.

Ashburn, Virginia, United States

Over this course of employment, I Input accurate information into a Microsoft Excel spreadsheet to support firm's director in monitoring cash flow and dealing with delinquent accounts. Additionally, I streamlined month-end closure operations by conducting rigorous reviews and verifications of accounts, including bank deposits, money orders, and check reconciliations.Key Attainments:• Successfully cleared backlog of credit and debit transactions.• Saved company's time and cost using proficiency in Microsoft Excel and shortcuts.