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Data Science with 3+ years in Power BI, SQL & Azure Databricks
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly analytical and business-focused Data Analyst with 3+ years of experience delivering end-to-end data solutions across automotive and manufacturing domains. Expertise in Power BI, SQL, Python, Machine Learning, and Azure Databricks, enabling organizations to convert raw data into strategic insights. Proven ability to build executive-level dashboards, optimize reporting frameworks, perform predictive analytics, and collaborate with cross-functional stakeholders to drive operational excellence, cost optimization, and business growth.
Great Lakes Institute of Management
PGP in Data Science and Engineering
August 1, 2021 – June 30, 2022
Saranathan college of Engineering
Bachelor of Engineering · Electrical and Electronics Engineering
August 1, 2014 – June 30, 2018
TVS Motor Company
Data Analyst
May 1, 2023 – Present
Bengaluru, Karnataka, India
Enterprise Analytics Dashboard Suite
May 1, 2023 – June 1, 2026
Designed and deployed enterprise-wide dashboards for QAD, R&D, Central Purchase, Project Tracking, and Norton teams. Developed advanced DAX measures, KPI scorecards, and interactive visualizations, enabling data-driven decision-making and improving stakeholder visibility across multiple business functions.
Procurement & Project Tracking Analytics Platform
May 1, 2023 – June 1, 2026
Built centralized reporting solutions to monitor procurement activities, project milestones, cost settlements, supplier performance, and resource utilization. Automated reporting workflows, reducing manual effort and enhancing operational transparency.
Azure Databricks Reporting Optimization Framework
May 1, 2023 – June 1, 2026
Engineered and optimized backend SQL queries and data transformation processes for large-scale reporting systems. Improved data retrieval performance, reporting accuracy, and dashboard responsiveness, enabling faster access to critical business insights.
EV Drive Cycle Analytics for iQube Platform
May 1, 2023 – June 1, 2026
Analysed real-world vehicle telemetry and cloud-based operational data to develop data-driven drive cycles for the iQube EV platform. Identified usage patterns and performance trends that supported vehicle optimization and enhanced energy efficiency assessments.
Rider Behaviour & Energy Consumption Analysis
May 1, 2023 – June 1, 2026
Conducted rider characterization and behavioural analytics using large-scale EV usage datasets. Identified eco-driving patterns and generated actionable recommendations that improved energy efficiency and contributed to an increase of up to 15% in vehicle range.
PGP in Data Science and Engineering
Unknown
June 1, 2026 – Present
Get Started with SQL Analytics and BI on Databricks
Databricks
June 1, 2026 – Present
Power BI Certification
Udemy
June 1, 2026 – Present
Rapid Prototyping and Design
Unknown
June 1, 2026 – Present
Infosys Campus Connect Foundation Program
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from enterprise analytics dashboards to EV drive cycle and rider behavior analysis, indicates adaptability and a broad interest in applying data science across different domains. Their experience in a fast-paced automotive company (TVS Motor Company) suggests an ability to thrive in dynamic environments. The emphasis on collaboration, stakeholder engagement, and delivering actionable insights aligns with a culture that values teamwork and business impact. The continuous learning indicated by certifications in Data Science and Databricks also points to a growth-oriented mindset.
Soft Skills & Operational Fit
The candidate demonstrates strong stakeholder management and communication skills through their project descriptions, emphasizing collaboration with cross-functional teams and translating business requirements into actionable analytics. Their experience in leading initiatives and optimizing processes suggests a proactive and results-oriented work attitude. The focus on improving data accessibility, reducing manual effort, and enhancing decision-making aligns well with operational efficiency and data-driven culture.