Headline

Data Analyst | Automotive Analytics | SQL, Python, Power BI ,Tableau | Telemetry

About

Data Scientist with 3 years of production ML experience in the automotive domain, where data is messy, stakes are high, and dashboards have to actually work. At Tata Elxsi, I built 40+ diagnostic dashboards used by cross-functional engineering teams to accelerate root-cause analysis on vehicle telemetry data — work that earned formal customer appreciation and is live in production today. Behind those dashboards: Python pipelines, optimised SQL (window functions, CTEs). Currently focused on: • Advanced analytics for automotive use cases • End-to-end ML + analytics projects • Building scalable data products I’m particularly interested in roles where data directly impacts product performance, operations, or business outcomes. What I bring that's rare: I don't just build models. I've spent 3 years translating complex telemetry data into decisions that engineering teams actually acted on. That gap between model output and business action is where most DS work either succeeds or dies — and it's where I'm strongest. Open to Data Anlayst /Data Scientist roles in product analytics or automotive ML. 📍 Kerala, India 🔗 GitHub: https://github.com/majesty594 📧 majestyraj@gmail.com Skills: Python | SQL |Machine Learning | Tableau|Statistical Modelling| | ETL Pipelines | PySpark

Location

Kerala

AI stack

hugging face

langchain

ollama

openai

Work experience

Senior Engineer at Tata Elxsi, Mar 2025 - Present · 1 yr 3 mos, Kozhikode, Applied statistical analysis and anomaly detection on large-scale automotive telemetry datasets to identify failure patterns and performance degradation signals, supporting data-driven diagnostic decision-making. Built end-to-end Python (pandas, NumPy) pipelines for automated data ingestion, preprocessing, and feature preparation — enabling repeatable experimentation workflows aligned with ML model development practices. Authored advanced SQL (CTEs, window functions) to construct analytical KPI datasets powering production diagnostic dashboards used by cross-functional engineering teams. Translated complex model outputs and telemetry signals into actionable Tableau dashboards (LOD calculations, drill-downs), earning formal customer appreciation for accelerating root-cause investigation. Partnered with engineering stakeholders to define analytical hypotheses from business problems, delivering structured insight reports that bridged raw data and decision-making.

Engineer at Tata Elxsi, Feb 2023 - Feb 2025 · 2 yrs 1 mo, Kozhikode, Developed 40+ diagnostic dashboards from vehicle telemetry signals, enabling engineering teams to accelerate root-cause identification and proactively monitor warning patterns at scale. Conducted structured EDA on high-volume, noisy datasets — identifying trends, outliers, and signal anomalies that informed diagnostic hypotheses and feature engineering candidates. Cleaned and validated large volumes of telemetry data including handling missing values, invalid DIDs, and inconsistent patterns — ensuring analytical reliability for downstream modeling workflows. Communicated findings to cross-functional engineering teams through data narratives, visualizations, and structured reports, translating analytical output into actionable engineering decisions.

Campus Ambassador at GTech MuLearn, Oct 2021 - Jun 2022 · 9 mos

District Head at GTech MuLearn, Sep 2021 - Jun 2022 · 10 mos

Operations Intern at GTech MuLearn, Nov 2021 - Jan 2022 · 3 mos

Campus Lead at TinkerHub, May 2021 - Jan 2022 · 9 mos

Women in Tech Lead at TinkerHub, May 2021 - Jan 2022 · 9 mos

Education

Bachelor of Technology - BTech, Computer Science and Engineering, AWH Engineering College, Kuttikattoor

Nirmala Bhavan Higher Secondary School - India

Public links

github: https://github.com/majesty594