Nivas Kolla

Results-oriented Data Analyst with hands-on experience translating business requirements into actionable intelligence dashboards, profiling large datasets, and interpreting ML/statistical model outputs into clear stakeholder insights. Proficient in SQL, Python, and Power BI; skilled at data exploration, anomaly detection, and cross-functional collaboration. Track record of partnering with Data Engineering and Data Science teams to deliver analytical outputs on schedule, and communicating complex findings to both technical and non-technical audiences with precision.

Data Analytics & Engineering Analyst - Infosys

(2025-10 - 2026-02)

• Captured and formalised analytical requirements from BRDs and product managers, translating business questions into structured SQL- and Python-based pipelines that delivered clean, consumable datasets to stakeholders.
• Built and maintained Power BI intelligence dashboards and KPI reporting frameworks, surfacing trends, anomalies, and performance metrics to enable data-driven decisions for both technical and non-technical audiences.
• Performed rigorous data profiling and EDA across large structured datasets, identifying data quality issues and collaborating with the DE team to resolve upstream gaps — increasing reporting accuracy and reducing downstream errors.
• Coordinated with the Data Science team to conduct analytical QA on model outputs; interpreted statistical and predictive model results and translated findings into actionable business insights presented to senior stakeholders.
• Executed data validation and reconciliation against client control totals, ensuring completeness and accuracy of analytical outputs across multiple reporting layers.
• Mentored and guided junior analysts on SQL best practices, dashboard design standards, and data governance protocols — growing team capability and analytical output quality.
• Documented transformation logic, data lineage, and validation procedures to meet audit, compliance, and data governance requirements; acted independently to deliver projects to schedule and scope.

Data Science & Analytics Intern - YBI Foundation

(2024-06)

• Designed SQL and Python pipelines to integrate structured datasets from multiple sources, supporting consistent data quality for downstream analysis and dashboard reporting.
• Conducted EDA to surface patterns, correlations, and anomalies across large datasets; built Power BI dashboards to communicate KPIs and analytical findings to both technical and business stakeholders.
• Supported deployment of supervised predictive models, applying feature engineering and evaluation techniques; summarised model outputs into insight narratives for business teams.
• Automated data ingestion workflows, reducing manual processing overhead and improving pipeline reliability for recurring analytics tasks.

Machine Learning Engineering Intern - Teachnook

(2023-01 - 2023-03)

• Built and deployed supervised learning models, achieving 15% improvement in prediction accuracy through feature engineering, hyperparameter tuning, and rigorous model evaluation.
• Interpreted post-deployment model performance metrics and visualised outcomes via dashboards, communicating model behaviour and business impact to stakeholders in clear, non-technical language.
• Developed end-to-end data preprocessing pipelines ensuring data integrity across multi-source datasets prior to model training and production deployment.

Marketing Data Analyst Intern - Shine Projects

(2024-05 - 2024-06)

• Engineered SQL and Excel-based analytical pipelines to profile customer behaviour and campaign performance data, delivering insights that directly improved marketing targeting strategies.
• Built structured KPI dashboards and implemented validation procedures to ensure data accuracy and consistency across marketing reporting — aligning outputs with business strategy goals.
• Collaborated with marketing and operations stakeholders to translate business requirements into pipeline outputs and analytical findings, presenting results clearly to drive action.

Bachelor of Technology - AIML - RMD Engineering College (2021 - 2025) Tiruvallur, India