Data Science with 1+ years in Python & Power BI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science graduate with hands-on experience in Python, SQL, Power BI, Data Analytics, and Machine Learning. Skilled in building data-driven applications, dashboards, and analytical solutions. Seeking opportunities to apply technical and problem-solving skills in real-world projects
Trident Academy of Technology
Bachelor of Technology · Computer Science
August 1, 2022 – June 30, 2026
Royal College of Science & Technology
Higher Secondary (12th)
June 1, 2022 – May 31, 2022
SDA Higher Secondary School
Secondary (10th)
June 1, 2020 – May 31, 2020
NALCO
Intern
June 29, 2025 – July 30, 2025
India
Seeree
Data Analytics Intern
February 1, 2025 – September 1, 2025
India
Expense Tracker
September 1, 2025 – June 1, 2026
Built a system to manage expenses and visualize spending patterns. Implemented SQL-based backend storage with Power BI dashboards for insights.
Autolytica: Smart Sales Analysis
September 1, 2025 – June 1, 2026
Developed real-time analytics services for car dealerships. Created dashboards to track sales, performance, and customer metrics.
Net-Zero Sustainable Smart Cities
September 1, 2025 – June 1, 2026
Developed ML models to forecast energy consumption and optimize resource utilization. Performed data cleaning, preprocessing, and feature selection using Python (Pandas, NumPy). Created dashboards to visualize environmental metrics and track sustainability goals. Used Python for data cleaning, preprocessing, and exploratory data analysis (EDA).
Udemy 72 Days Bootcamp of Data Analytics
Udemy
February 1, 2025 – September 1, 2025
Python for Data Analysis
Unknown
September 1, 2024 – Present
Python Industry Oriented Training
Unknown
July 1, 2024 – Present
NPTEL Using C Programming
NPTEL
July 1, 2023 – Present
The candidate scored 0 out of 16 points, demonstrating no proficiency in Data Engineering concepts evaluated by the test.
Limitations
The candidate scored 19 out of 20 points, indicating a very strong understanding and practical ability in Power BI.
Cultural Fit Analysis
The candidate's projects demonstrate initiative and a problem-solving mindset, aligning with a proactive work culture. The diversity of projects (expense tracking, sales analysis, smart cities) shows a broad interest in applying data science to different domains. However, the experience level is entry-level, and the target role is Data Science, which requires a deeper technical foundation than currently demonstrated in all areas.
Soft Skills & Operational Fit
The candidate's resume lists 'Communication, Teamwork, Leadership, Time Management' as soft skills. While the English test score is moderate (55/100), the project descriptions are clear. The psychometric test score (278/500) suggests average performance in areas like logical reasoning, work attitude, stress handling, and team collaboration, which might require further validation during interviews.
Strengths
Limitations