S

Sivaramakrishnan Uthayakumar

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Coimbatore, Tamil Nadu, India
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Jobs verified_user 0% verified
  • New American Funding
    Data Engineer
    New American Funding
    May 2023 - Jan 2025 (1 year 9 months)
    • Built and automated end-to-end data pipelines using Python, SQL Server, SSIS, and Snowflake to support reporting and analytics workflows • Designed and optimized ETL processes for extracting, transforming, and loading business-critical data from multiple sources into centralized systems. • Developed interactive dashboards and custom reports using Power BI, SSRS, and Excel to track KPIs in sales, loans, and operations • Automated data cleaning, profiling, and validation tasks using Python to improve data quality and reduce manual effort. • Worked closely with business teams to gather requirements, deliver actionable insights, and support data-driven decision-making through EDA and reporting.
  • M
    Data Analyst
    Maasta
    Apr 2022 - May 2023 (1 year 2 months)
    • Created automated reports using Excel, including formulas, PivotTables, and VLOOKUPs, to help with daily operations and financial tracking. • Used Python and SQL to collect, clean, and prepare data for analysis and reporting. • Did EDA (Exploratory Data Analysis) in Python to find patterns, trends, and useful insights for business decisions. • Built interactive dashboards in Tableau to show performance and key business metrics. • Automated regular reports using Python scripts and task schedulers, saving time and reducing manual work.
  • D
    Internship Trainee
    Delphi - TVS Technologies Limited
    Apr 2021 - Apr 2022 (1 year 1 month)
    • Collected and cleaned production data using Excel and basic SQL to help the R&D and engineering teams. • Created automated reports with Excel formulas and PivotTables to track issues like defects and machine downtime. • Built simple Tableau dashboards to show production trends and help in making better decisions. • Reduced manual work by organizing reporting steps and making the process easier to repeat.
Education verified_user 0% verified
  • D
    Data Analytics & Machine Learning
  • A
    Bachelor of Engineering (B.E)
    Anna University (College of Engineering, Guindy - CEG Campus)
Projects (professional or personal) verified_user 0% verified
  • D
    Diabetic Patients Readmission Prediction
    Developed a machine learning model to predict diabetic patient re-admissions, improving healthcare decision-making through data-driven risk analysis. • Built a machine learning model to predict hospital re-admission of diabetic patients using structured healthcare data, improving early intervention strategies. • Performed exploratory data analysis (EDA) to uncover patterns in patient demographics, comorbidities, medications, and discharge types influencing re-admission risk. • Engineered meaningful features and applied preprocessing techniques including handling missing values, label encoding, and class balancing. • Trained and evaluated multiple classification algorithms (Logistic Regression, Random Forest, XGBoost), achieving a ROC-AU
  • B
    BPS Application Tracker
    Built an automated BPS loan lifecycle tracking system using SQL, Python, Excel, and Snowflake to improve data accuracy, reduce manual effort, and enhance reporting efficiency. • Developed a loan lifecycle tracking system to automate BPS application monitoring using SQL and Excel, replacing manual tracking processes. • Implemented Python scripts for data validation and integrity checks, significantly reducing entry errors and ensuring consistent data quality. • Integrated Snowflake for centralized data storage and streamlined reporting of loan stages, highlighting incomplete records and performance trends. • Delivered an automated, scalable solution that improved transparency, reporting accuracy, and stakeholder visibility into monthly a
  • B
    BPS Performance & Utilization Dashboard
    Built an interactive Power BI dashboard to track BPS team performance and utilization by integrating real-time data from Snowflake and MS SQL, enhancing reporting efficiency and executive visibility. • Designed and developed an end-to-end Power BI dashboard to track BPS team performance, including daily utilization, quality control, and attendance metrics across weekly, monthly, and quarterly views. • Connected Power BI directly to Snowflake and MS SQL Server, sourcing real-time operational data from the BPS Application Tracker to ensure timely and accurate reporting. • Engineered automated data pipelines for seamless data extraction, cleansing, and transformation, eliminating manual handling and improving reporting efficiency. • Delive
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