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Assessing your cultural and operational fit
Data Analyst with less than a year in statistical analysis and data visualization.
I am a detail-oriented and results-driven data analyst with a strong foundation in statistical analysis, data visualization, and data management. With a background in Computer Science, I have hands-on experience working with large datasets, performing data cleaning, and extracting actionable insights to inform business decisions. Proficient in tools such as Excel, SQL, Python, and Power BI, I am skilled in using data to uncover trends, optimize processes, and support strategic decision-making. My passion for turning complex data into clear, actionable insights, combined with my strong problem-solving and communication skills, allows me to contribute effectively to any data-driven team.
MIT-ADT University
MSc · Computer Science [AIML]
August 1, 2023 – June 30, 2025
Lok Jagruti University
BSc · Information Technology
August 1, 2020 – June 30, 2023
Divine Life School
HSC
June 1, 2018 – May 31, 2019
New Samarath English H/S School
SSC
June 1, 2016 – May 31, 2017
Tiktok Songs Trend Analysis
June 17, 2026 – Present
Developed this project which analyzes trending songs on TikTok, exploring their characteristics, popularity, and impact on the music industry. The analysis aims to identify patterns, trends, and insights that can inform music creators, marketers, and industry professionals.
View ProjectDermaDetect : Skin Disease Diagnose System
June 17, 2026 – Present
Developed a deep learning-based Skin Disease Prediction System that classifies images into various skin disease categories using the MobileNet model. Built with Django for a user-friendly web interface and integrated image diagnosis functionality.
View ProjectFake News Detection System
June 17, 2026 – Present
The Fake News Detection System uses machine learning and natural language processing to identify and classify news articles as real or fake. It analyzes text patterns and source credibility to help users distinguish between reliable and misleading information, promoting trustworthy news consumption.
View ProjectSmart Roll Call System
June 17, 2026 – Present
Developed an attendance system using image detection is an advanced technological framework designed to automate the tracking of individual presence in various settings like workplaces, educational institutions, or secure facilities.
View ProjectGet Started With Tableau
Coursera
June 1, 2026 – Present
Programming for Everybody (Getting Started with Python)
Coursera
June 1, 2026 – Present
Prepare, Clean, Transform and Load Data using Power BI
Coursera
June 1, 2026 – Present
Python for Data Analysis: Pandas & Numpy
Coursera
June 1, 2026 – Present
Exploratory Data Analysis With Python and Pandas
Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects are diverse, covering trend analysis, fake news detection, medical diagnosis, and attendance systems, indicating a broad interest in applying data analysis and ML to various domains. The pursuit of a Master's degree in Computer Science [AIML] and multiple certifications shows a strong commitment to continuous learning and professional development. While the projects are all academic, they align well with the analytical and problem-solving nature of a Data Analyst role. The lack of professional experience means cultural fit in a corporate environment is largely unproven.
Soft Skills & Operational Fit
The candidate's objective statement highlights being detail-oriented, results-driven, and possessing strong problem-solving and communication skills. The academic projects demonstrate an ability to work with complex data and extract actionable insights, which are crucial for a Data Analyst role. However, without actual work experience, it's difficult to assess operational fit in a professional team setting, stress handling, or direct communication effectiveness.