Data Analyst with 1+ years in SQL, Python & BI Tools
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated B.Tech Computer Science graduate with hands-on internship experience as a Data Analyst. Proficient in SQL, Python, and leading BI tools including Power BI and Tableau, with a strong track record of building interactive dashboards and deriving actionable insights from complex datasets. Experienced in cloud-based data environments on Microsoft Azure, statistical modeling, and end-to-end data workflows. Adept at translating raw data into clear business narratives that support strategic decision-making. Known for strong problem-solving ability, collaborative teamwork, and a proactive approach to learning new technologies.
MEA Engineering College
B.Tech · Computer Science
November 1, 2021 – April 1, 2025
QSpiders
Data Analyst Intern
June 1, 2025 – November 1, 2025
Cochin, Kerala, India
PlaySpots
Data Analyst Intern
March 1, 2025 – Present
Kozhikode, Kerala, India
UBER RIDE-HAILING OPERATIONAL AND REVENUE ANALYSIS
November 1, 2025 – June 1, 2026
• Created an interactive dashboard to track revenue, booking completions, and key performance metrics of different vehicle types. • Analyzed peak demand time slots and geographic hotspots to identify patterns in ride traffic and service efficiency. • Classified user behavior into first-time and regular categories to monitor retention trends and address booking cancellations.
TRUSTLINK: IOT INTEGRATED WITH BLOCKCHAIN IN LOGISTICS
March 1, 2025 – June 1, 2026
• Platform integrated IoT devices with a blockchain-based system (Hyperledger Fabric) to enable real-time tracking and monitoring of logistics assets. • A user interface was developed using Flutter to provide a cross-platform application for stakeholders to interact with the blockchain and access real-time logistics data.
Cultural Fit Analysis
The candidate's academic projects and internship experiences demonstrate a diverse application of data analysis skills across different domains (ride-hailing, sports venues, logistics). This breadth of exposure suggests adaptability and a willingness to tackle varied challenges, which aligns well with a dynamic work environment. The focus on delivering actionable insights and supporting business strategy indicates a results-oriented mindset.
Soft Skills & Operational Fit
The candidate's profile summary highlights strong problem-solving ability, collaborative teamwork, and a proactive approach to learning new technologies, which are positive indicators for operational fit. The project descriptions also suggest an ability to translate data into business narratives and support strategic decision-making.