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Data Engineer with less than a year in Data Analysis & ETL
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Data Engineer with hands-on experience working with structured data using SQL, Python, and Power BI. Experienced in analyzing large datasets, writing optimized SQL queries, and deriving actionable insights through project-based work in autonomous vehicle safety analysis. Currently pursuing a Data Engineering program focused on ETL, data warehousing, and data pipelines with a strong interest in building scalable data solutions.
Utkal University, Bhubaneswar
Master of Technology · Information Technology
August 1, 2019 – June 1, 2021
KIIT University, Bhubaneswar
Bachelor of Technology · Electronics & Telecommunication
August 1, 2014 – April 1, 2018
Cognizant (Client Project)
Process Engineer - Autonomous Vehicle Software Quality
October 1, 2025 – April 1, 2026
Hyderābād, Telangana, India
Collision Avoidance Risk Analysis for Autonomous Vehicles
June 23, 2026 – Present
Analyzed 10,000+ simulated autonomous driving collision scenarios to evaluate braking effectiveness across object types and speed ranges. Designed SQL queries to calculate collision avoidance rate, braking success rate, and failure rate by object-speed combinations. Built a Power BI dashboard with KPIs, failure heatmaps, and prioritized risk rankings for decision-making. Identified that medium-speed motorcycle scenarios exhibited higher braking failure rates, indicating a timing and detection gap rather than pure speed-based risk. Differentiated high-frequency failures (pedestrians, animals at very low speeds) from high-risk failures (motorcycles at medium speeds).
View ProjectGoogle Data Analytics Professional Certificate
Coursera
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's background shows a clear interest in data-driven roles, particularly within the autonomous vehicle domain, which suggests a focused career path. The pursuit of a Master's degree in Information Technology and an ongoing Data Engineering program, along with a Google Data Analytics certification, indicates a strong drive for learning and professional growth. The personal project further reinforces initiative and practical application of skills. While the experience is limited, the candidate's proactive learning and project work suggest a good fit for a culture that values continuous development and practical problem-solving. The diversity of projects is limited to autonomous vehicles, which might indicate a specific interest rather than broad adaptability, but the core skills are transferable.
Soft Skills & Operational Fit
The candidate's project and work experience descriptions suggest an analytical and detail-oriented approach to problem-solving. The focus on identifying timing delays, anomalies, and risk factors indicates a methodical work attitude. The ongoing professional training and certification demonstrate a commitment to continuous learning and self-improvement, which aligns well with dynamic operational environments. However, the limited professional experience (7 months) means that the depth of operational fit and collaboration skills cannot be fully assessed from the provided data.