MA

manchala anudeep

As a data analytics professional, I am driven by a deep curiosity to explore complex datasets and a strong determination to achieve mastery in uncovering meaningful insights. I approach my work with a high degree of accountability, always striving to deliver impactful solutions that not only meet objectives but also resonate with a broader purpose, understanding the human element behind the numbers.

Open to

Hyderabad · Bangalore

Work style

Onsite, Hybrid, Remote

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Contact details — on requestProof of Work — on request

Experience

C

Analyst, Data Analytics

Covasant Technologies Pvt. Ltd. (formerly Dcube Data Sciences LLP) · Dec 2022 – Present

Not yet confirmed
  • Build and run the SQL-based data pipeline behind an in-house financial-fraud-detection application, processing SAP-sourced data through five stages data import, data quality, staging, completeness, and mapping before risk scoring.
  • Design and apply data-quality and validation rules across incoming datasets: field-length checks against source-system standards (e.g., SAP vendor numbers required at 10 characters), data-type and conversion validation, numeric/amount checks, and date-format checks flagging and resolving records that fail validation.
  • Coordinate data loads and ingestion using the SSMS Import/Export Wizard and SSIS (including SSIS fuzzy-matching), and consolidate multiple source files and tables (for example, combining multiple REGUP extracts) into unified staging tables.
  • Run data-completeness checks identifying orphaned vendors and missing attributes required for analysis and map data from multiple SAP tables into a single consolidated table for reporting.
  • Develop SQL scoring algorithms that flag transactions against defined risk logic, surfacing the results in Power BI dashboards embedded in the in-house product.
  • Contribute substantially to application feature development, enhancements, and client-requirement implementations across the platform.
  • Sole owner of database deployments for the team single-handedly executed numerous releases, including large version deployments involving full schema-drift changes across environments.
  • Migrated reporting dashboards from Sisense to Power BI, redesigning the reporting layer to improve performance and enable self-service analysis.
  • Investigated and resolved data issues across production and non-production environments with development and business teams, and tuned slow SQL queries using execution-plan analysis.
T

AI/ML Intern

Turing Minds.ai · Feb 2022 – Nov 2022

Not yet confirmed
  • Built end-to-end machine-learning workflows: data collection, preprocessing, feature engineering, model training, and evaluation.
  • Performed data cleaning and transformation to prepare structured datasets for regression and classification models.

Skills 0 proven through work

Also works with

Sisense UsageDashboard MigrationDACPAC UsageRapid LearningTaking OwnershipCode OptimizationScalable System DesignDatabase Query OptimizationData PreprocessingTabular Data Cleaning & ValidationExploratory Data Analysis (EDA)Cross-Device TestingData VisualizationDashboard UI DesignData ModelingDAX Expression DevelopmentRelease ManagementTest Environment SetupVersion Control with GitHubApproval ManagementEnvironment Consistency ManagementSoftware Quality AssuranceDesktop Application DevelopmentTask AutomationTool DevelopmentPower BICI/CD Pipeline ImplementationImpact AnalysisSoftware Development PracticesWork Planning and PrioritizationUser Story WritingRequirements AnalysisStakeholder ManagementApplication DeploymentAzure DevOpsDatabase ViewsQuery WritingDelegation and Work AllocationTicket ManagementAzure Resource Management

Proof of Work

Proof of Work

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Education

B.Tech, Engineering

MVJ College of Engineering, Bengaluru · 2018 — 2022

Contact details

Contact details

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