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Data Science with less than a year in Python & SQL.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated and enthusiastic fresher aspiring to build a career in Data Science, with a strong foundation in Python, statistics, and machine learning concepts. Looking for an entry-level opportunity where I can apply my analytical skills, learn from real-world data, and contribute to data-driven decision making. Eager to grow professionally, enhance my technical expertise, and add value to the organization through dedication, continuous learning, and effective teamwork.
Dr. Abdul Kalam University Lucknow
Btech · ECE
August 1, 2019 – June 30, 2023
Sales Data Analysis using Python & Power BI
June 25, 2026 – Present
Analysed sales dataset to identify top-performing products and regions. Performed data cleaning and preprocessing using Python (Pandas, NumPy). Created visualizations using Matplotlib and Seaborn. Built an interactive dashboard in Power BI to track KPIs and trends. Generated actionable insights to support business decision-making.
Student Performance Analysis Project
June 25, 2026 – Present
Analysed student marks using Python (Pandas). Calculated total and average scores. Identified top-performing students. Created visualizations using Matplotlib. Derived insights from academic data.
Cultural Fit Analysis
The candidate's academic projects show an interest in data analysis, aligning with the target role. The listed soft skills suggest a collaborative and learning-oriented mindset. However, with no professional experience, it's difficult to assess cultural fit beyond a basic alignment with a data-driven environment. The project diversity is limited to academic data analysis, and the breadth of skills, while relevant, is foundational.
Soft Skills & Operational Fit
The candidate lists strong communication, analytical, problem-solving, attention to detail, team collaboration, adaptability, and data storytelling skills. However, these are self-declared and not validated by assessments or professional experience. The candidate's academic project experience suggests a basic operational fit for data analysis tasks, but lacks evidence of handling complex, real-world operational challenges or team dynamics.