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Data Science with less than a year in Data Analysis, Machine Learning & Generative AI.
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Assessing your cultural and operational fit
Computer Science graduate with hands-on experience in Data Analysis, Machine Learning, and Business Intelligence. Skilled in Python, SQL, Power BI, and Generative AI technologies, with experience building analytics dashboards, NLP applications, and machine learning solutions. Passionate about transforming data into actionable business insights.
KNIPSS, Sultanpur
B.Tech · Computer Science
August 1, 2022 – June 30, 2026
Cognifyz Technologies
Data Science Intern
March 1, 2025 – April 1, 2025
India
E-Commerce Sales Dashboard
June 1, 2026 – Present
Developed an interactive Power BI dashboard to track key business KPIs, including sales, revenue, profit, and regional performance. Utilized DAX and Power Query for data cleaning, transformation, KPI calculations, and data modeling from multiple data sources. Enabled data-driven decision-making through drill-down analysis, dynamic filters, and interactive business visualizations.
View ProjectWhatsApp Chat Analyzer
June 1, 2026 – Present
Developed a WhatsApp chat analytics tool to extract and analyze communication patterns from exported chat data. Applied regex-based text processing and exploratory data analysis to identify user activity, message trends, and emoji usage patterns. Created 10+ interactive visualizations using Matplotlib and Seaborn to present insights through data storytelling.
View ProjectFake News Detector
June 1, 2026 – Present
Developed an NLP-based fake news classification system using TF-IDF vectorization and Naive Bayes algorithm. Preprocessed and transformed text data using Pandas, NumPy, and Scikit-learn, achieving 93% classification accuracy. Deployed the model as an interactive Streamlit web application for real-time fake news detection.
Data Science, AI & Data Presentation
HP Training Program
June 1, 2026 – Present
Data Science Internship Certificate
Cognifyz Technologies
June 1, 2026 – Present
Generative AI Mastermind
Outskill
January 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate initiative and a proactive approach to learning and applying data science concepts. The diversity of projects (e-commerce dashboard, NLP, chat analysis) indicates a broad interest within the data science domain. The internship experience, though short, shows an ability to work in a professional setting. The certifications in Data Science, AI, and Generative AI suggest a commitment to continuous learning and staying current with industry trends, which aligns well with a growth-oriented culture.
Soft Skills & Operational Fit
The psychometric test score is low (212/500), which may indicate potential areas for development in logical reasoning, work attitude, stress handling, or team collaboration. Further assessment would be needed to understand the implications for operational fit.