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Data Science with less than a year in Data Analytics & Generative AI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I am a passionate Data Analyst with expertise spanning in Data Analytics, Artificial Intellegence and Frontend development. My skill set combines modern Artificial Intellegence like Generative AI with Data Analytics to make process easier and quicker and to deliver actionable insights, build intelligent dashboards, and enable data-driven decision-making. Having knowledge in DSA and also solved 100 problems in LeetCode.
SRM Institute of Science and Technology
B.Tech · Computer Science and Engineering (Big Data Analytics)
August 1, 2023 – June 30, 2027
Urban Carbon Twin (AI, IoT, Web Development)
June 1, 2026 – Present
Built an AI + IoT system to monitor real-time CO2 emissions using ESP32 and MQ135 sensors, with interactive dashboards and simulation models for emission reduction strategies.
Gen AI-Powered Sales Analytics Platform
June 1, 2026 – Present
Developed a platform to process CSV/Excel data, perform KPI analysis, and generate insights. Integrated Generative AI to produce summaries, recommendations, and enable chatbot-based querying with interactive dashboards.
CodeGuardian AI (RAG, AI Security System)
June 1, 2026 – Present
Developed a RAG-based platform to detect software vulnerabilities using vector search and LLM reasoning, with predictive risk analysis and actionable security recommendations.
Harnessing the Power of Data with Power BI
Coursera - Microsoft
June 1, 2026 – Present
Preparing Data for Analysis with Microsoft Excel
Coursera - Microsoft
June 1, 2026 – Present
Introduction to Google Cloud Platform
Simplilearn
June 1, 2026 – Present
Cultural Fit Analysis
The candidate demonstrates a strong interest in cutting-edge technologies like Generative AI, RAG, and IoT, which aligns well with innovative and forward-thinking teams. The diversity of personal projects (sales analytics, urban carbon twin, AI security) indicates a broad curiosity and willingness to explore different domains. Participation in hackathons suggests a competitive spirit and a drive for continuous learning and application of skills. The target role of 'Data Science' is well-supported by the project portfolio and educational background in 'Big Data Analytics'.
Soft Skills & Operational Fit
The candidate's resume highlights problem-solving, data analysis, leadership, and time management as soft skills. The project descriptions suggest an ability to work on complex, multi-faceted problems. However, without direct interview data or psychometric test results, it's difficult to fully assess operational fit, stress handling, or team collaboration beyond what's implied by project involvement.