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Data with less than a year in Data Visualization & Machine Learning
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Recent Information Science Engineering graduate with strong analytical and data validation skills. Experienced in data cleaning, reporting, dashboard development, and quality assurance through academic and personal projects. Highly detail-oriented with a focus on data accuracy and consistency.
JSS Academy Of Technical Education Bengaluru
BE · Information Science and Engineering
January 1, 2022 – May 1, 2026
PACE UM PU College
High School Diploma · PCMCS
January 1, 2020 – January 1, 2022
Energy Management System
June 23, 2026 – Present
Developed an interactive Power BI dashboard by cleaning, validating, and analyzing large datasets to ensure accurate reporting of power consumption trends. Collected and cleaned raw power consumption data from multiple sources. Used Power Query for data cleaning and modeling to improve data quality. Identified global energy usage trends and patterns with supporting visuals. Configured automated data refresh to ensure dashboard reflects up-to-date consumption figures.
OTT Analysis
June 23, 2026 – Present
Performed a comparative analysis of content libraries spanning genres, ratings, and release trends across Netflix and Prime Video. Conducted Exploratory Data Analysis to identify patterns in popularity, content distribution, and platform focus. Built interactive dashboards to visualize genre dominance, yearly content growth, and platform-wise comparisons. Identified that Netflix leads in original content volume while Prime Video focuses on licensed catalog depth — insights useful for content strategy decisions.
Nifty 50 stock screener
June 23, 2026 – Present
Developed and deployed a real-time NIFTY 50 Stock Screener web application using Python and Streamlit for interactive stock market analysis. Implemented stock filtering and ranking features based on technical and financial indicators to help users identify high-potential investment opportunities. Pulled the stock data using yfinance(yahoo finance). Built interactive dashboards and visualizations for stock trends, performance metrics, and comparative market analysis using Plotly/Streamlit charts.
Cultural Fit Analysis
The candidate's personal projects show a strong interest in data analysis across diverse domains (energy, OTT, finance), indicating curiosity and a willingness to explore different problem spaces. This aligns well with a culture that values continuous learning and versatile problem-solving. The lack of professional experience makes it challenging to assess collaboration and adaptability in a team setting.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a detail-oriented approach with a focus on data accuracy and consistency. The personal projects suggest initiative and a proactive learning attitude. However, without formal work experience or psychometric test results, it's difficult to fully assess operational fit, teamwork, and stress handling capabilities.