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Data Analyst with less than a year in Data Preprocessing & Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented Data Science professional skilled in data preprocessing, machine learning, predictive analytics, and statistical modeling. Proficient in Python, SQL, and visualization tools like Power BI and Tableau to interpret large datasets and extract actionable insights. Seeking to contribute to analytical workflows, dashboarding, and data-driven decision-making.
TKR College of Engineering and Technology
Bachelor of Technology · Computer Science and Data Science (CSD)
August 1, 2021 – June 30, 2025
Cognifyz Technologies
Data Science and Data Analysis Intern
October 1, 2025 – November 1, 2025
India
Superstore Sales Analytics (MySQL + Power BI)
June 30, 2026 – Present
Performed SQL-based preprocessing on large multi-dimensional datasets and developed BI dashboards to analyze regional sales trends, category-level performance, and customer behavior across multiple business segments.
View ProjectHouse Price Prediction System
June 30, 2026 – Present
Designed an end-to-end ML pipeline by integrating data preprocessing, feature engineering, and regression models to predict home prices and enhance interpretability across diverse housing categories.
View ProjectTATA GenAI Powered Data Analytics
TATA
June 1, 2026 – Present
Deloitte Data Analytics Job Simulation
Deloitte
June 1, 2026 – Present
YBI Foundation Data Science and Machine Learning Internship
YBI Foundation
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects and certifications show a clear interest in data analytics and machine learning, aligning well with a Data Analyst role. The diversity of projects (sales analytics, house price prediction) and certifications (Deloitte, TATA, YBI Foundation) indicates a proactive learning attitude and exposure to various industry applications. However, the experience is primarily academic and internship-based, which might require more structured guidance in a professional setting.
Soft Skills & Operational Fit
The candidate's project descriptions and career objective indicate a detail-oriented approach and a desire to contribute to analytical workflows and dashboarding. The internship experience suggests an ability to execute data-related tasks and communicate insights. However, without psychometric or English test scores, a comprehensive assessment of soft skills, logical reasoning, work attitude, stress handling, and team collaboration is not possible.