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Data Analyst with less than a year in Python, SQL, and Power BI
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 and detail-oriented B.Tech Information Technology graduate with strong analytical and programming skills. Seeking an opportunity in Data Analytics or IT to apply my knowledge in Python, SQL, Excel, and Power BI to transform data into actionable business insights and support data-driven decision-making.
Loyola-ICAM College of Engineering and Technology
B.Tech · Information Technology
August 1, 2016 – June 30, 2020
C.E.O.A. Matric Hr. Sec. School
HSC
June 1, 2014 – May 31, 2016
De Nobili Matric Hr. Sec. School
SSLC
June 1, 2012 – May 31, 2014
Library Management System – Database Project
January 1, 2020 – June 1, 2020
Designed and implemented a relational database to manage books, borrowers, and lending processes. Used SQL for data storage, retrieval, and relationship management between tables. Built Python scripts to extract reports such as most borrowed books and active borrowers, improving tracking efficiency.
Data Analytics Mini Project - Sales Performance Analysis
January 1, 2020 – June 1, 2020
Conducted end-to-end analysis of sales data using Python (Pandas, Matplotlib, Seaborn). Cleaned and transformed raw data, handled missing values, and created pivot summaries. Identified top-performing regions, products, and monthly trends. Developed an interactive Power BI dashboard to visualize KPIs like total sales and profit margin.
App for Usage of Water, Electricity & Gas – WEGOT Utility Solutions
January 1, 2020 – June 1, 2020
Designed a prototype for smart monitoring of water, electricity, and gas consumption. Integrated IoT-based sensors (conceptually) for real-time data tracking and analyzed usage data to identify high-consumption patterns, helping users optimize utility costs.
Cultural Fit Analysis
The candidate's academic projects show a focus on data-related tasks, which aligns with the target role of Data Analyst. The diversity of workshops (IoT, Android, Robotics, Ethical Hacking) indicates a broad interest in technology, which could be a positive for adaptability and learning new tools. However, the lack of professional experience means cultural fit in a corporate environment is largely unproven.
Soft Skills & Operational Fit
The candidate lists analytical thinking, team collaboration, time management, adaptability, and problem-solving as soft skills. These are relevant for a data analyst role. However, without professional experience or specific examples from projects, the operational fit regarding these skills is difficult to assess beyond self-declaration.