Padmanaban Gopalakrishnan

Padmanaban Gopalakrishnan

Data Analytics | PowerBI | Data Science | Data Visualization | Excel | SQL | Machine Learning | Python |Artificial Intelligence | · Bengaluru

As a Machine Learning Engineer with 3 years of experience, I approach complex challenges with a blend of logic and determination, always striving for pragmatic solutions. My ambition drives me to continuously innovate and deliver impactful results, while upholding the highest standards of honesty and integrity in all my work.

Open to

Bengaluru

Work style

Hybrid

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Experience

VIRTUAL TECH SERVICES

Machine Learning Engineer

VIRTUAL TECH SERVICES · Feb 2026 – Apr 2026

Not yet confirmed
  • Gained hands-on experience in Python, Machine Learning, and Data Preprocessing.
  • Learned feature engineering, NLP, TF-IDF, model training, and evaluation.
  • Worked with Logistic Regression and deep learning models such as ResNet50.
  • Developed practical skills in Computer Vision, image processing, and similarity matching.
  • Learned to build, test, save, and reuse machine learning models for real-world applications.
  • Improved understanding of the end-to-end ML workflow, from dataset preparation to model prediction.
NoviTech R&D Pvt Ltd

Data Analyst

NoviTech R&D Pvt Ltd · Feb 2026 – Mar 2026

Not yet confirmed
N

Fraud Analyst

NASO TECHNOLOGIES PRIVATE LIMITED · May 2025 – Jun 2025

Not yet confirmed
  • An end-to-end Machine Learning fraud detection system featuring an XGBoost pipeline (trained on 555k+ records with SMOTE resampling) deployed via a FastAPI backend and a Streamlit interactive dashboard.

Skills 0 proven through work

Also works with

MLOps ImplementationReceiving and Incorporating FeedbackAdaptabilityResNet Model UsageTransparent CommunicationListening AttentivelyData-Driven RecommendationsImpact AnalysisWorking with Real-world DatasetsStakeholder Communication AdaptationData VisualizationBusiness IntelligenceExplainable AIModel Training ExecutionLogistic Regression ModelingModel Performance ImprovementModel Selection Trade-Off AnalysisRandom Forest ModelingBusiness Transaction AnalysisFraud DetectionEnd-to-End Data Science Lifecycle ManagementFraud Detection System DevelopmentPower BIAnomaly DetectionData Repetition PreventionMicrosoft ExcelXGBoost ModelingLarge Dataset HandlingData TransformationTabular Data Cleaning & ValidationURL Analysis

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Education

M.sc , Computer Science

University of Madras · 2024 — 2026

B.Sc , Computer Science

Ramakrishna Mission Vivekananda College · 2021 — 2024

Contact details

Contact details

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