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AI Engineer with less than a year in Data Science & Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI and Data Science student with a strong foundation in Machine Learning, Deep Learning, and Data Analytics. Proven ability to conduct exploratory data analysis, build interactive dashboards, and derive actionable insights from complex datasets. Experienced in developing and deploying AI solutions and optimizing operational processes. Seeking to leverage technical skills and analytical mindset to contribute to innovative projects in data-driven decision-making and safety improvements.
Gati Shakti Vishwavidyalaya
B.Tech · AI and Data Science (Specialization: Transportation and Logistics)
August 1, 2023 – June 30, 2027
Delhi Metro Rail Corporation (DMRC)
Intern
May 1, 2025 – June 30, 2025
India
Accident Analysis and Safety Improvements in Railways
January 1, 2026 – Present
Conducted exploratory data analysis (EDA) on Indian Railways and EU accident datasets to identify key safety risk factors. Extracted accident direct causes and cause categories using text analysis and visualized trends across speed, weather, and time. Translated data-driven findings into insights to support operational safety improvements and decision making.
Driver Monitoring System (DMS) – Business Analytics & BI
January 1, 2026 – Present
Analyzed driver monitoring data (speed, GPS, time, vehicle and driver attributes, alert logs) using EDA and feature engineering (time bands, speed categories, driver-level KPIs) to uncover safety and behavioral patterns. Built an interactive Power BI dashboard using slicers and cross-filtering for real-time drill-down analysis and insight discovery. Derived actionable insights such as higher night-time alerts, LDW alert dominance, increased alerts above 50 km/h, and alerts across experienced drivers to inform policy and training decisions.
Fundamentals of Deep Learning, Computer Vision for Industrial Inspection
NVIDIA
January 1, 2025 – Present
AI Fundamentals, Data Fundamentals, Generative AI in Action
IBM
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects and internship focus on real-world problem-solving in transportation and logistics, which aligns well with practical, impact-driven roles. Their participation in hackathons and workshops indicates a collaborative and knowledge-sharing mindset. However, the breadth of experience outside of academic projects is limited, which might impact adaptability to diverse team cultures or very different problem domains.
Soft Skills & Operational Fit
The candidate demonstrates a proactive attitude towards learning and practical application of skills, as seen in hackathon achievements and workshop deliveries. Their involvement in clubs and committees suggests good teamwork and communication potential. The internship at DMRC shows an ability to apply technical skills in an operational environment, improving efficiency and user experience.