Hey, there 👋
I’m Dinesh Kumar
Data Engineer | AWS | Python | Big Data
About Me
I'm Sammeta Dinesh Kumar, a data engineer with 2+ years of experience designing scalable data pipelines, real-time systems, and cloud-native solutions. I hold an MSc in Advanced Computer Science from the University of Leicester and a B.Tech from VIT University.
I work with tools like Apache Spark, Airflow, AWS, and Azure, and code in Python, SQL, and Bash. My interests lie in building data products that combine clean engineering with smart analytics—recently, that’s included a real-time sentiment analyzer and a housing price predictor.
Outside of work, I enjoy exploring new tech, automating things for fun, and diving deep into machine learning, LLMs, and cloud architecture. I'm currently based in the UK and open to opportunities that solve real-world problems through data.
Data Analysis
Skilled in analyzing complex datasets to derive actionable insights using Python and SQL.
Problem Solver
Enjoy solving challenging technical problems with clean, efficient, and scalable code.
Tech Explorer
Continuously exploring new technologies like Kafka, BigQuery, and Graph Databases.
Full-Stack Dev
Experienced in building responsive web apps using React, Node.js, and REST APIs.
Resume
You can preview or download my resume below to learn more about my qualifications, experience, and technical skills.
Experience
Wipro Technologies
End-to-End ETL Development & Optimization for High-Volume Data Pipelines.
Insta TBS
Scalable SSIS ETL Architecture & Data Integration for High-Volume Analytics.
Amazon
ICQA Specialist Driving Inventory Accuracy, Process Optimization, and Compliance Through Data-Driven Analysis and Cross-Functional Collaboration.
Projects
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Business Insight Engine Project
Developed a full-stack, cloud-native Twitter sentiment analysis platform using Spark, Airflow, and AWS. Leveraged GPT-4 and deep learning models (LSTM, CNN) to achieve 92%+ accuracy, providing real-time insights via Flask API and React frontend with scalable, reliable, and cost-effective architecture.
PythonScikit-learnXGBoostMatplotlibExplore on GitHub -
ML Model Predicting House Prices
Developed a data-driven house price prediction system for 15+ UK locations using Python, geospatial data, and 25,000+ property records. Applied EDA and machine learning models (Random Forest, XGBoost) achieving 90%+ R², providing actionable insights through interactive dashboards for investors and real estate professionals.
ArduinoMATLABPythonExcelExplore on GitHub -
Smart Energy Monitoring System
Developed an IoT-based energy monitoring system for Indian hospitals using Arduino, CT sensors, and RS-485 connectivity. Analyzed real-time load data with MATLAB and Excel, modeled hospital energy usage patterns, and identified up to 15% potential energy savings through optimized scheduling.
ArduinoMATLABPythonExcelExplore on GitHub -
Signal Analysis Using Fourier and Laplace Transforms
Developed a Python-based DSP framework using Fourier and Laplace transforms to denoise and analyse ECG/EEG signals from the MIT-BIH Arrhythmia database. Applied Butterworth filters and FFT to remove noise and extract frequency components, while Laplace transforms modeled system stability, producing clear visual dashboards for improved diagnostic readability.
ArduinoMATLABPythonExcelExplore on GitHub -
Automated feedback sentiment analysis
Developed a Python-based Patient Feedback Sentiment Analysis system to automatically process and anonymize survey responses, classifying sentiments with NLP. Real-time Flask API and Matplotlib dashboards visualized trends, linking patient satisfaction to hospital services, reducing analyst workload, and providing actionable insights for scalable, reproducible operational improvements.
ArduinoRelay ModulesSolar PanelsElectrical WiringExplore on GitHub -
Solar-Powered Home Automation with Load Management
Developed a solar-powered home automation system using Arduino/Raspberry Pi to prioritize essential loads based on solar energy availability. Implemented relay-based switching, sensor calibration, and energy monitoring to control fans, lights, and appliances. Produced a scalable prototype demonstrating over 20% energy savings, highlighting expertise in automation, renewable energy integration, and system optimization.
ArduinoRelay ModulesSolar PanelsElectrical WiringExplore on GitHub
Education
University of Leicester
Leicester, United Kingdom
2022 – 2024Acquired a master's degree in advanced computer science. Focused on Cloud, Big data, and Data Engineering technologies. worked on pipelines for analytics and real-time streaming.
VIT University
Vellore, India
2010 – 2014Achieved an Electrical and Electronics Engineering Bachelor's Degree. acquired Fundamental knowledge of Power Systems, Analytics, and Programming.
Certifications
Data Analytics
Issued: Jan 2024
Hands-on experience in data cleaning and visualization.
Verify CertificateFull Stack Web Dev
freeCodeCamp
Issued: Mar 2024
Built full-stack apps with Node.js, MongoDB, React.
Verify CertificateExcel for Business
Coursera
Issued: May 2024
Advanced Excel techniques for modeling and automation.
Verify CertificateAWS Practitioner
Amazon
Issued: June 2024
Learned AWS cloud concepts and best practices.
Verify CertificateCybersecurity Basics
IBM SkillsBuild
Issued: July 2024
Covered threats, tools, and networks in cybersecurity.
Verify CertificateMy Skill Book
Programming & Scripting
Data Engineering & ETL
Databases & Storage
Business Intelligence & Reporting
Machine Learning
Cloud & Containerisation
IT Support
Full Stack Developer
Gmail
LinkedIn
GitHub