Headline

Data Analyst at Enphase Energy

About

Completed my Master's degree in Computer Science at Vellore Institute of Technology, with a focus on data science and DevOps. Through academic and professional experiences, I have developed proficiency in tools and technologies such as Docker, Jenkins, Grafana, and Python, alongside a strong foundation in machine learning and data analysis. At Nokia, I contributed to enhancing CI/CD performance by designing a Jenkins pipeline analyzer that reduced build durations by 20%. I also implemented monitoring tools like Prometheus and Node Exporter, which improved infrastructure observability and response times. My goal is to leverage cutting-edge technologies to drive efficiency, automation, and innovation in technology-focused projects.

Location

Bengaluru

AI stack

claude

windsurf

Work experience

Data Analyst at Enphase Energy, Mar 2026 - Present · 7 mos, Bengaluru, Karnataka, India, • Developed Python-based automation to streamline Excel workflows and reporting. • Built Incorta dashboards for data visualization, reporting, and trend analysis. • Leveraged Advanced Excel for data analysis and complex worksheet management. • Applied ML-based approaches to forecast future DPPM and identify quality trends and patterns. • Used Generative AI (Windsurf) to accelerate automation, analysis, and problem-solving.

Student Trainee at Nokia, Aug 2024 - May 2025 · 10 mos, Bengaluru, Karnataka, India, Designed a Jenkins pipeline analyzer that cut build durations by 20% and enhanced CI/CD performance. • Implemented Prometheus and Node Exporter to monitor infrastructure, optimizing system observability and response times. • Improved server resource efficiency by 15% by fine-tuning CPU, memory, and disk I/O metrics. • Streamlined analytics using InfluxDB, enabling 30% more precise reporting on build trends and outcomes. • Created interactive Grafana dashboards for continuous visibility into deployment health and KPIs. Tech Stack: Python, Bash, Jenkins, Docker, Prometheus, Grafana, InfluxDB, Node Exporter

Data Analyst at Apexon, Jun 2023 - Aug 2023 · 3 mos, Hyderabad, Telangana, India, • Conducted exploratory data analysis to eliminate 90% of non-relevant GitHub data entries. • Built classification models to sort issues into bugs, features, or inquiries, achieving ~84% accuracy. • Engineered an end-to-end pipeline to automatically label new issues using supervised learning techniques. Tech Stack: Python, Scikit-learn, Pandas, NumPy, Data Cleaning, EDA, Supervised Learning

Data Science and Computer Vision Intern at Avay Biosciences, May 2023 - Jul 2023 · 3 mos, Bangalore Urban, Karnataka, India, • Analyzed experimental biomaterial data to establish optimal printing pressure, reducing material waste by 15%. • Audited Raspberry Pi logs and identified bottlenecks, lowering error incidents by 20%. • Deployed NLP pipelines to detect recurring failure patterns, automating 70% of error classification. • Developed a Python-based object recognition system using OpenCV, minimizing printer downtime by 25%. Tech Stack: Python, Pandas, NumPy, OpenCV , NLP , Raspberry Pi, Machine Learning

Education

Master's degree, Computer Science, Vellore Institute of Technology

INTERMEDIATE(12TH), SCIENCE(PCM), ARMY PUBLIC SCHOOL GORAKHPUR