Hi, I'm Vishnu Preetham Reddy

Data Scientist and Analyst with expertise in SQL, Python, and advanced machine learning algorithms, focused on credit risk analytics, data engineering, and business intelligence. Proven ability to optimize risk strategies, build predictive models, and enhance data infrastructure using cloud platforms such as AWS and GCP. Skilled in developing and automating data pipelines, creating interactive dashboards, and deploying end-to-end ML solutions. Adept at leveraging statistical techniques and ML models to generate actionable insights, drive strategic decision-making, and mitigate operational risks.

Education

Arizona State University
Arizona State University
Master of Science in CSE

August 2021 - December 2022

    Experiences

    Lending Point
    Lending Point
    Data Analyst, Product and Risk Analytics
    June 2023 – Present

    • Performed comprehensive credit risk assessment on a $100M loan portfolio using Python, Pandas, NumPy, BigQuery SQL, and Tableau; employed Decision Trees, Random Forests, XGBoost by utilizing Bureau, Clarity, LexisNexis data to identify key risk indicators, which led to a 17% reduction in potential losses through targeted risk mitigation strategies.
    • Leveraged CK LB MBE (Credit Karma Model Building Environment) – Jupyter Notebooks for data preprocessing, analysis on population sample, applicants, and tradelines (Equifax, TU, Experian) datasets to identify credit attributes contributing to overall higher delinquency rates.
    • Utilized Chi – square tests, ANOVA, and Recursive Feature Elimination (RFE) to validate the statistical significance of variables, ensuring model reliability and optimizing the feature selection process.
    • Developed data-driven risk strategies and revamped grading mechanisms using swap sets, cohort analysis, and time series analysis; reduced overall risk exposure by 12% through optimized financial metrics such as ALR, RAY and Delinquency %.
    National Grid
    National Grid
    Data Analyst/Data Engineer
    January 2023 – June 2023

    • Part of modernizing National Grid’s DWH platform by migrating legacy Oracle DWH to Snowflake Cloud Datawarehouse and sunset MicroStrategy by migrating reports to Power BI project.
    • Migration of 47 Downstate DataMart’s – Active (14), Inactive (33) – Lift and shift of 33 inactive DataMart’s from 8370 tables into Snowflake staging layer.
    • Migrated all active data ingestion flows (688) from Informatica (Downstate) to Matillion for all active DataMart’s using Python and SQL
    • Used SQL to replace existing transformation logic in Oracle procedures with Snowflake.
    PICMG
    PICMG
    Developer (Capstone Project)
    August 2022 – December 2022

    Redfish Server Implementation using OpenAPI

    • DMTF’s Redfish is a standard designed to deliver simple and secure management for converged, hybrid IT and the Software-Defined Data Center.
    • Created the database tables and initialized the data for Account, Session, Task, Root, and Event services from the mockups bundle.
    • Built a Redfish Event Service protocol, that enables the communication between IoT devices.
    • Worked on Spring Boot Server and used OpenAPI to generate code for some of the endpoints.
    • Used testing frameworks such as JUnit and Mockito for unit testing of java applications.
    Kanor Systems Inc
    Kanor Systems Inc
    Junior Data Analyst
    July 2020 – June 2021

    • Conducted data analysis using Data Wrangling, Python automation, and SQL optimization on Snowflake data warehouse.
    • Performed Exploratory Data Analysis (EDA) using Pandas and NumPy for predictive modeling, applying statistical techniques to derive meaningful conclusions and recommendations.
    • Created Python scripts for task automation, including generating daily reports and facilitating email communications.
    • Collaborated on reusable code and Data Pipelines, enhancing analytic efficiency by 15%, tracked project progress with JIRA, and organized project-related materials in Confluence.

    Big Projects

    Players Data Extraction

    Made use of Python and Web Scraping (Selenium Library) to scrape players information and statistics from a website and extract structured data using pandas.

    Loan Default Prediction

    Contributed to improved lending decision-making processes by delivering accurate predictions of loan defaults using Python, Pandas, Machine Learning, highlighting skills in data analysis, preprocessing, modeling, and evaluation.

    API Data Exploration and Analysis

    Contact me!

    Discuss a project or just want to say hi? My Inbox is open for all.

    Location PinAtlanta, Georgia

    Open for opportunities: Yes



    Vishnu Preetham Reddy Dasari