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Data Analyst with less than a year in Python, SQL & IoT.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven Data Analyst skilled in Python, SQL, Advanced Excel, Power BI, and Tableau, with hands-on experience in analyzing datasets, building dashboards, and generating actionable insights to support business decisions. Acquired knowledge in IoT sensors and embedded systems, integrating data analytics with real-world applications to drive informed decision-making.
Priyadarshini College of Engineering, Nagpur
B.Tech · Electronics and Communication Engineering
December 1, 2021 – May 1, 2025
CSIR-National Institute of Oceanography
Project Associate I - Underwater Environmental Sensor System
October 1, 2025 – April 1, 2026
Panaji, Goa, India
Clustor Computing Pvt Ltd.
Cloud Computing Intern
March 1, 2024 – April 1, 2024
Nagpur, Maharashtra, India
Smart Garbage Detection System Using Machine Learning (ML) and Internet of Things (IOT)
June 24, 2026 – Present
The Smart Garbage Detection System Using Machine Learning (ML) and Internet of Things (IoT) is an innovative project aimed at automating and optimizing waste management in industrial environments. Traditional waste segregation methods. The challenge is to develop a system that can classify waste in real-time, improve efficiency, and support sustainable practices, reducing the environmental impact of industrial operations.
Electrical Vehicle Data Analysis (Tableau Project)
June 24, 2026 – Present
Leveraged SQL to extract, clean, and filter large EV datasets, preparing accurate and structured data for further analysis in Tableau. Performed data validation and transformation to ensure reliability of insights. Developed an interactive and visually rich Tableau dashboard to analyze EV adoption and performance trends. Highlighted key KPIs such as Average Electrical Range, Total EVs, BEVs, and model-year distribution using calculated fields, dynamic charts, and comparative visualizations.
A Review on Smart Garbage Detection Using Machine Learning and IoT
IETE Bhopal
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic background in Electronics and Communication Engineering, combined with projects in ML/IoT and EV data analysis, demonstrates a diverse interest in applying technical skills across different domains. The experience at CSIR-NIO and an internship at a private company show adaptability to different organizational cultures. The target role of Data Analyst aligns well with the candidate's stated skills and project experiences, particularly the focus on data analysis, visualization, and insights generation. The breadth of tools and techniques used (Python, SQL, Tableau, ML, IoT) suggests a willingness to learn and adapt, which is positive for cultural fit.
Soft Skills & Operational Fit
The candidate's project descriptions suggest an ability to work on problem-solving (Smart Garbage Detection) and deliver interactive solutions (Tableau Dashboard, AUV monitoring UI). The internship at Clustor Computing and the Project Associate role at CSIR-NIO indicate an ability to work in structured environments and handle data from various sources. However, without specific psychometric or English test results, it's difficult to assess communication clarity, logical reasoning, stress handling, or team collaboration directly.