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Data Science with less than a year in Data Analysis & Predictive Modeling.
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 and adaptable graduate with strong analytical, communication, and organizational skills. Proven ability to learn quickly, work collaboratively, and manage tasks efficiently in dynamic environments. Eager to contribute to business operations, customer service, or administrative roles with a focus on quality and accountability
KKR & KSR Institute of Technology and Sciences
Bachelor of Technology · Computer Science and Engineering-Data Science
August 1, 2020 – June 30, 2024
AI Variant
Data Science Intern
August 1, 2024 – March 1, 2025
India
Data Analyst Portfolio
June 18, 2026 – Present
I developed a personal portfolio website showcasing real-world data analysis projects, including data cleaning, transformation, visualization, and reporting using SQL, Python, and Power BI. I designed and integrated interactive dashboards and case studies that highlight actionable business insights and demonstrate end-to-end analytical problem-solving skills.
Customer Personality Analysis
June 18, 2026 – Present
Analyzed customer demographic and behavioral data to segment customers into distinct personality profiles, providing targeted marketing recommendations to support business strategy. Executed comprehensive data preprocessing for data validation, including handling missing values and feature scaling, which was critical for ensuring high model accuracy.
Cultural Fit Analysis
The candidate's projects demonstrate initiative and a proactive approach to learning and applying data science concepts. The personal projects, 'Data Analyst Portfolio' and 'Customer Personality Analysis', show a genuine interest and self-driven learning, which aligns well with a culture of continuous improvement. The internship experience at 'AI Variant' indicates exposure to a professional data science environment. The candidate's stated adaptability and collaborative skills suggest a good cultural fit, though the identified weakness in stakeholder communication might require mentorship in a team-oriented setting.
Soft Skills & Operational Fit
The candidate highlights strong communication, critical thinking, team collaboration, time management, and problem-solving skills. The self-identified strengths of being a quick learner, strong communicator, and adaptable suggest a positive operational fit. However, self-identified weaknesses like 'perfectionism', 'overthinking', and being 'new to stakeholder communication' indicate potential areas for development in a fast-paced, senior data science environment.