NK
nivas kolla
Contact details — on requestProof of Work — on request
Experience
System Engineer Trainee – Data Engineering & Analytics
Infosys · Oct 2025 – Jan 2026
- Designed and maintained enterprise-scale ETL pipelines using Python (Pandas, NumPy) and SQL, collecting and preprocessing large structured datasets across multiple reporting layers with consistent data quality.
- Performed rigorous exploratory data analysis (EDA) on complex datasets, surfacing patterns, anomalies, and correlations to drive accurate, data-driven insights for cross-functional stakeholders.
- Built and optimized data transformation and preprocessing workflows, reducing pipeline run-time by 20% and improving data accuracy for downstream analysis and machine learning tasks.
- Implemented automated data ingestion and aggregation processes, eliminating manual workflows and delivering clean, analysis-ready datasets faster to business and data science teams.
- Conducted data validation, anomaly detection, and reconciliation procedures, increasing reporting accuracy and reducing downstream data errors across analytical pipelines.
- Collaborated with data scientists and business leaders to translate requirements into structured analytical outputs, supporting model training, feature engineering, and predictive analysis workflows.
- Developed Power BI dashboards and KPI reporting frameworks, presenting findings and insights clearly to both technical and non-technical stakeholders.
- Documented data workflows, transformation logic, and validation procedures to support team knowledge-sharing, audit compliance, and reproducibility of analytical processes.
Data Science & Engineering Intern
YBI Foundation · Jun 2024 – Jun 2024
- Collected and integrated structured datasets from multiple sources using Python and SQL pipelines, ensuring consistent data quality and integrity for downstream analysis and machine learning.
- Performed exploratory data analysis (EDA) to identify patterns, correlations, and anomalies in datasets; built Power BI dashboards to communicate KPIs and insights to technical and non-technical stakeholders.
- Automated data ingestion and preprocessing workflows, reducing manual processing overhead and improving pipeline reliability for recurring analytics tasks.
- Assisted in deploying supervised predictive models, applying feature engineering and model evaluation techniques to support data-driven decision-making.
S
Marketing Data Intern
Shine Projects · May 2024 – Jun 2024
- Engineered SQL and Python-based data pipelines to collect, clean, and analyze customer behavior and campaign performance datasets, delivering actionable insights that improved targeting strategies.
- Ensured data accuracy and consistency across KPI reporting dashboards by implementing structured validation and preprocessing procedures.
- Collaborated with marketing and operations stakeholders to align analytical findings and pipeline outputs with broader business objectives.
Machine Learning Engineering Intern
Teachnook · Jan 2023 – Mar 2023
- Built and deployed supervised learning models (classification and regression), achieving a 15% improvement in prediction accuracy through rigorous data preprocessing, feature engineering, and hyperparameter tuning.
- Developed end-to-end data preprocessing pipelines to collect, clean, and validate multi-source datasets, ensuring data integrity prior to model training and production deployment.
- Monitored model performance post-deployment, visualizing metrics and presenting analytical outcomes to business stakeholders to support continuous improvement.
Skills 0 proven through work
Also works with
IT Service ManagementReliabilityStrategic PlanningAnalytical Report CreationReceiving and Incorporating FeedbackProject Status CommunicationTaking OwnershipAdaptabilityWork Planning and PrioritizationData-Driven RecommendationsTask AutomationAPI Performance OptimizationData ModelingBulk Data ProcessingData CollectionScalable System DesignLarge Dataset HandlingData Integrity ManagementData MonitoringDashboard UI DesignExploratory Data Analysis (EDA)Data LoadingBusiness Logic AnalysisData Unification and NormalizationTabular Data Cleaning & ValidationData TransformationData ExtractionETL Pipeline DevelopmentData EngineeringPython DevelopmentPostgreSQL Database UsageTeamworkFunctional TestingBug FixingProblem SolvingSDLC Process ApplicationDatabase ManagementCoding
Proof of Work
Proof of Work
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Education
Bachelor of Technology, Computer Science
RMD Engineering College · 2021 — 2025
Contact details
Contact details
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