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Data Science with less than a year in Python, SQL, and 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
Data Science student at Indian Institute of Technology Madras with strong foundations in Python, SQL, data analytics, statistics, and machine learning. Skilled in cleaning data, extracting insights, creating dashboards, and solving business problems using data-driven approaches. Strong learner with interdisciplinary knowledge in Mathematics, Economics, and Psychology. Seeking opportunities in Data Analyst, Business Analyst, SQL Analyst, or Entry-Level Data Science roles.
Institute of Engineering and Rural Technology, Prayagraj
Diploma · Mechanical Engineering
January 1, 2018 – January 1, 2020
Indian Institute of Technology Madras
BS · Data Science and Applications
N/A – Present
Indira Gandhi National Open University (IGNOU)
Bachelor's Degree · Mathematics, Economics, Psychology
N/A – Present
Customer Churn Prediction
June 1, 2026 – Present
Built a machine learning model to identify customers likely to leave. Performed feature selection, preprocessing, and evaluation.
IPL / Sports Analytics Project
June 1, 2026 – Present
Analyzed match and player performance data using Python and visualization libraries.
Sales Data Analysis Dashboard
June 1, 2026 – Present
Analyzed sales data to identify monthly trends, top-performing products, and revenue patterns. Created visual reports to support business decisions.
SQL Business Insights Project
June 1, 2026 – Present
Solved business case studies using SQL queries. Used joins, aggregations, and window functions for reporting insights.
Matplotlib & Seaborn Certification
IIT Madras
June 1, 2026 – Present
SQL Quiz Participation / Certificate
IIT Bombay
June 1, 2026 – Present
Additional Certificates
Unknown
June 1, 2026 – Present
Geoprocessing in Python
ISRO
June 1, 2026 – Present
Achieved 100% on the 'Data Scientist — Artificial Intelligence' test, indicating excellent foundational knowledge in this area.
Strengths
Limitations
Achieved 100% on the 'Data Engineer — Data Platforms' test, demonstrating strong understanding of data engineering concepts.
Strengths
Cultural Fit Analysis
The candidate's academic background and project diversity (churn prediction, SQL insights, sports analytics, sales analysis) suggest a broad interest in applying data science across different domains. The pursuit of multiple degrees (Data Science, Mathematics, Economics, Psychology) indicates a strong drive for continuous learning and interdisciplinary approach, which can be a positive cultural fit for dynamic environments. However, the lack of professional experience makes it difficult to fully assess cultural fit in a corporate setting.
Soft Skills & Operational Fit
The candidate lists analytical thinking, problem-solving, communication, quick learning, team collaboration, and adaptability as soft skills. The academic projects suggest an ability to work independently on defined problems. However, the low score in the Python test indicates a potential gap in practical operational coding skills, which are crucial for a senior role. The psychometric test score is low (146/500), which might indicate areas for development in logical reasoning, work attitude, stress handling, or team collaboration, though specific details are not provided.
Limitations
Scored 23% on the 'Python Internship Test', indicating significant weaknesses in Python programming, algorithms, and related data analysis skills.
Strengths
Limitations