Data Science with less than a year in Python, SQL, and Data Visualization.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I am passionate about solving the real-world problems using software technologies seeking a challenging role where I can utilize my skills to create innovative and user-centric applications while gaining valuable experience and advancing personal and organizational goals.
GIFT Autonomous
Bachelor's of Technology · Computer Science Engineering
August 1, 2022 – June 30, 2026
Car manufacturing Data Analysis
January 1, 2022 – January 1, 2026
Developed a Car Manufacturing Analysis project using Python and Jupyter Notebook. Performed data cleaning, preprocessing, and analysis on large manufacturing datasets. Analyzed production defects, scrap costs, throughput, and station-wise performance. Created data visualizations and KPI reports using Matplotlib and Seaborn. Applied manufacturing concepts like cycle time, WIP, and process efficiency analysis. Used Pandas and NumPy to generate insights for production optimization and decision-making.
Data Jobs Market Dashboard
January 1, 2022 – January 1, 2026
Developed an interactive Power BI dashboard analyzing 479,000 real-world data job listings across roles, salaries, locations, and hiring platforms. Implemented drill-through navigation, KPI cards, scatter plots, and map visuals to uncover key market insights — including role demand, salary benchmarks, schedule types, and WFH trends. Dataset features job title, salary, location, skills, and more.
Python Full stack with data analysis
Qspider
June 1, 2026 – Present
Programming Data Structure and Algorithms using Python
NPTEL
June 1, 2026 – Present
The Joy of Computing using Python
NPTEL
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate an interest in diverse data analysis applications, from manufacturing to job market trends. Their commitment to continuous learning through certifications and online courses aligns with a growth-oriented culture. The target role of Data Science is well-aligned with the skills and projects presented, indicating a good foundational fit.
Soft Skills & Operational Fit
The candidate's professional summary indicates a passion for problem-solving and a desire to create innovative applications. Their hobbies suggest a proactive approach to learning and staying updated with data trends. However, without specific behavioral assessment data, it is difficult to fully assess stress handling, team collaboration, or other operational fit aspects.