SRI KRISHNA KANTH

• Architected and Automated Enterprise Dashboards: Designed and deployed interactive Power BI dashboards that delivered actionable insights and enhanced data-driven decision-making across business units.
• Global Power BI Administration: Held a global admin role overseeing capacity management, deployment pipelines, tenant-level settings, and Power BI Gateway administration. Led region-wise Power BI Desktop upgrades ensuring seamless tool standardization.
• Governance & Quality Control: Reviewed Power BI reports developed by global teams, enforcing best practices before publication. Standardized workspace structures and certified datasets for self-service BI.
• Deployment Management: Implemented a ticketing system to track Power BI deployments and updates, streamlining issue resolution and version control.
• Community & Adoption Leadership: Organized and led global Power BI community calls to promote architectural best practices, optimize performance, and build a center of excellence.
• Legacy BI Modernization: Migrated over 100+ Cognos BI reports to Power BI, enhancing report performance, interactivity, and visual clarity while aligning with modern reporting standards.
• Data Modeling: Transformed Cognos Framework Manager model into a Power BI star schema using Direct Query mode for new report development and implemented Row-Level Security (RLS).
• Cloud Data Migration & Modern Pipeline Architecture: Played a key role in data warehouse decommissioning by migrating enterprise data from Oracle to Azure Synapse and repointing Power BI dataflows to the new environment.
• ETL Validation & Data Quality Assurance: Conducted final validation and performance testing of Azure Synapse pipelines, ensuring robust data quality and processing efficiency.
• Report Developments: Developed dynamic financial and sales comparison reports for both Chennai and global finance teams, enhancing financial visibility and supporting strategic planning. Additionally, designed and delivered key operational reports including Inventory Management, GRN Reports, Scrap Reports, Expense Tracking, Premium Freight Reports, and Approvals Management Reports

Key Responsibilities:

• Own design, development, and maintenance of ongoing metrics, reports, analyses, dashboards for BPM(Business process management),IT Operations and Manufacturing engineering analytics.
• Developing data visualization using pandas, matplotlib, seaborn.
• Strong SQL Knowledge and Hands-on experience in Oracle and SSMS.
• Developed tables, views and materialized views using SQL.
• Highly proficient in Microsoft Office and Windows based applications.
• Demonstrated Analytical ability, results-oriented environment with Internal Business user and Stakeholders.
• Excellent written and verbal communication and presentation skills and ability to express thoughts logically and succinctly.
• Data crunching, Data analyzing in SQL, R, Python and Excel.
• Proficiency with several visualization tools like Power BI, Tableau, ALTAIR Panopticon BI, Qlik view and Quick sight
• Passion to learn new skills/technologies.
• Synthesized current business intelligence data to produce reports and polished presentations, highlighting findings and recommending changes.
• Ability to manage software and application as Support Administrator.
• Coordinated statistical data analysis, design and information flow.
• Documented business workflows for stakeholder review.
• Built library of models and reusable knowledge-base assets to produce consistent and streamlined business intelligence results.

Project and Activities:

VOBD : To track the vendor Part supplying and vendor management implemented dashboard on both UAT and Production using Panopticon BI and Oracle Data set.

CRTS : Concern resolution tracking system its objective to analyze the Financial year to track the concern initiator and closure performance implements Dashboard using Power BI and Panopticon BI with SQL dataset.

CMS: Concern Management System to value and create the Concern from the vehicle to addressed and assign or monitor initiator for every concerns to get solved for the stake users, I have created Dashboards using Panopticon Bi and Qlik sense with SQL dataset.

Time Sheet Adherence Report: To Monitor the operation and track the performance of engineers in the High Level management of all the plant heads and managers as table view on Power Bi and Panopticon BI.

QDM : Support for Data base handling and server maintenance to Create templates for different parts and maintain the quality of data and maintain the SQL(SSMS) table and views update for both Test and Production Server activities and maintaining the licenses for ISMS purpose.

3DXP: Support to implement 3DXP tools and updated CATIA to 3DXP for design engineers activities to save timing on the part verification and modeling.

W501:Plant Quality Review and Developed Dashboard for 18 Quality Indicator on the Analytics manufacturing engineering.

Warranty Cost Analysis on Parts: Using Altair KMS,Monarch Developed and take insights using Decision Tree which parts creating much warranty issues under different plants and platforms and reduced the cost efficiency. Same developed an Automated Dashboard using Power Bi to view and monitor the Cost Analysis.

• Developed business, financial and analytical skills needed for career
• Collaborated in professional team to solve workflow issues
• Sorted and organized files, spreadsheets and reports

Projects:

A FRAME WORK FOR REAL TIME SPAM DETECTION IN TWITTER USING ML(MAJOR PROJECT) IN SRM ARTS AND SCIENCE COLLEGE:

Description: Designed an framework for spam detection in twitter.
Objective: To solve this issue, we propose a framework which takes the user and tweet based features along with the tweet text feature to classify the tweets. We have evaluated our solution with four different machine learning algorithms namely - Support Vector Machine, KNN, Random Forest and Logistic Regression. With Support Vector Machine, we are able to achieve an accuracy of 91.65% and surpassed the existing solution by approximately 18%.

MSHOUSE PRICING: IN Imarticus learning Main Project.
REGRESSION | Predict Sales Price of houses. Worked on a complete project involving understanding the data, EDA, Visualization, Feature Engineering, Model building using
Linear Regression, Model selection and Report generation.

• Supported staff members in their daily tasks, reducing workload burden and allowing for increased focus on higher-priority assignments.