Data Scientist | Machine Learning Engineer | Data Analyst

Hi, I'm Hanuma Venkata Vijay Kamal Konduri

I specialize in building data-driven solutions that uncover insights, enhance decision-making, and optimize business processes. My interests include AI, Machine Learning, and Data Analytics

Arthur Morgan

About Me

Data Engineer with hands-on experience building scalable ETL pipelines, real-time analytics systems, and production-ready APIs processing 50K+ records/day.

Proven ability to optimize data workflows, reduce processing latency, improve data quality, and enable downstream analytics

Strong background in Python, SQL, cloud data pipelines, statistical analysis, and anomaly detection, with experience supporting machine-learning-driven systems. Adept at translating raw data into reliable, decision-ready insights.

Technologies I Work With

PythonRSQLD3.jsTensorFlowPandasOpenCVScikit-LearnTableauPower BIMachine LearningDeep Learning

Tech Stack & Tools

The technologies I rely on to design, build, and ship data-driven products.

Programming Languages

PythonSQLR

Data Engineering

PythonSQLETL PipelinesREST APIsData ValidationData ModelingData OrchestrationBatch & Streaming PipelinesSnowflake

Machine Learning / Analytics

Statistical AnalysisFeature EngineeringAnomaly DetectionPredictive ModelingScikit-learnTensorFlowPyTorchKeras

Big Data & Cloud

AWS S3PySparkDistributed ComputingGPU Acceleration Tools

Visualization & Reporting

TableauPower BIMatplotlibSeabornD3.jsExcel

Tools

GitJupyter NotebookPandasNumPy

Where I've Worked

Data Engineer Intern

July 2025 - Present

  • ▹ Designed and automated scalable data pipelines processing 50,000+ multi-modal sensor records per day, improving end-to-end processing speed by 40% through optimized orchestration and data handling.
  • ▹ Built modular Python services and REST APIs to ingest, validate, and transform posture, motion, and fall-detection sensor streams, enabling real-time analytics and downstream ML workflows.
  • ▹ Implemented anomaly-detection and data-quality validation layers, reducing noisy signals and cutting false positives by 23%, directly improving system reliability.
  • ▹ Analyzed system telemetry and performance logs to refine the Activity Level Score (ALS) algorithm, improving accuracy, stability, and production readiness.
  • ▹ Contributed to end-to-end system testing, performance benchmarking, and deployment readiness, ensuring reliable operation under high-volume workloads.

Featured Projects

Showcasing some of my recent work and passion projects

Resume Optimizer using AI
Natural Language Processing (NLP)spaCyResume ParsingKeyword Extraction

Resume Optimizer using AI

Developed an AI-powered tool that streamlines the job application process by enhancing resumes through intelligent analysis. Leveraged NLP to evaluate resumes against job descriptions using ATS-style scoring. The system extracts and compares relevant keywords, suggests tailored content improvements, and automatically generates job-specific interview questions, helping users boost both resume relevance and interview readiness.

Live DemoView Code
Parallelizing Lung Cancer Detection using CNNs
CNNTensorFlowPythonGPU Acceleration

Parallelizing Lung Cancer Detection using CNNs

Developed a deep learning model using CNNs for lung cancer detection. Optimized model performance using GPU acceleration (CUDA, TensorFlow, Python multiprocessing).

Live DemoView Code
Crime Trends and Patterns in the U.S. (1979-2019)
D3.jsPythonData VisualizationCrime Analysis

Crime Trends and Patterns in the U.S. (1979-2019)

Built an interactive data visualization platform using D3.js, JavaScript, and Python to analyze crime trends and patterns across the U.S.

Live DemoView Code
Uber Fare Prediction using Machine Learning
Machine LearningPythonSQLScikit-learn

Uber Fare Prediction using Machine Learning

Implemented machine learning models to predict Uber fares based on ride parameters. Used Pandas, Scikit-learn, TensorFlow, and SQL for feature engineering and optimization.

Live DemoView Code

Clubs & Interests

UMassD Esports Club

Active team member of the UMass Dartmouth Esports Club. Participated in inter-college and intra-college gaming tournaments, collaborating with teammates and representing the university in competitive events.

Gaming 🎮

Passionate about both casual and competitive gaming. Enjoy strategy-based and team-oriented games, fostering focus, coordination, and quick decision-making.

Travel 🌍

Love exploring new places and cultures. Traveling helps refresh the mind, spark creativity, and offer new perspectives.

Reading 📚

Enjoy reading non-fiction, tech blogs, and sci-fi. Helps deepen knowledge, improve focus, and fuel imagination.

Chess ♟️

An avid chess player who enjoys the strategic and analytical depth of the game. Great for enhancing patience, planning, and problem-solving.