Data Scientist and Automotive Engineer

" I am a Data Science graduate with strong experience in machine learning, data analytics, and system diagnostics across energy and automotive domains. I have worked on applying ML models for performance prediction, anomaly detection, and optimization in Battery Energy Storage Systems (BESS), Energy Management Systems (EMS), and vehicle control units (VCU/ECU).

I bring hands-on expertise in Python, SQL, data pipelines, and automation, along with experience handling large, real-world datasets and translating complex technical insights into clear, actionable outcomes for non-technical stakeholders. I have collaborated with cross-functional teams, global suppliers, and clients to deliver high-impact solutions under tight timelines.

My skill set combines analytical thinking, problem-solving, and strong communication, enabling me to bridge the gap between data science, engineering systems, and business decision-making. "
Serial No: 224241
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Skills keywords: electric vehicles, automotive engineering, data science, big data analyst, data engineer
Qualifications:

MSc in Data Science and Analytics
Bachelor of Engineering in Electronics and Instrumentation

Personal Information:

I am motivated by solving complex, real-world problems where data, technology, and engineering intersect. I am particularly inspired by using analytics and machine learning to improve system performance, reliability, and decision-making in energy and automotive domains.

I enjoy continuous learning and regularly upskill through technical courses, research reading, and hands-on projects. Outside of work, I am interested in understanding emerging technologies, optimizing processes, and exploring how data-driven insights can create practical impact.

What drives me is turning ambiguity into structured solutions, working collaboratively with diverse teams, and delivering work that is both technically sound and meaningful in real-world applications.

Management Skills:

Customer Relation Management
Stakeholder Management
KPI and Performance Tracking
SWOT Analysis
Process Improvement and Documentation

Professional Awards/Accolades:

Delivered Machine Learning Solutions for predictive modeling and in energy and automotive systems.
Led development of diagnostic protocols for multiple ECUs
Automated Data Integration pipelines cutting down processing time by 70%
Deployed End of Line Test sequences reducing production delays
Collaborated with global clients and suppliers like Robert Bosch,BYD,Stellantis,Siemens to deliver high quality solutions

  • Data Scientist
    Tata Consultancy Services ( Currently working )
    4 years, 2 months ( Dec, 2021 - Feb, 2026 )
Employment Sought: Any
Current Location: Leeds, UK
Top 5 countries interested in working in: Australia, Germany, United Arab Emirates, United Kingdom, United States
Right to work in the following countries: India, United Kingdom
Supplementary Information:

Experienced in working with international teams , clients and suppliers
Comfortable taking ownership of critical tasks and delivering independently
Strong documentation skills
Adaptable to new domains and tools

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