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Data Science with less than a year in data analytics & automation
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Data Science and Python Developer with hands-on experience in data analytics, automation, and visualization. Proficient in Python (Pandas, NumPy), Power BI dashboards, and SQL for transforming raw datasets into actionable insights. Experienced in building automation scripts and data-driven solutions that support informed decision-making.
Model Institute of Engineering and Technology, Jammu
Bachelor of Engineering · Computer Science
N/A – June 30, 2025
ThinkNEXT Technologies Pvt. Ltd.
Data Science & Python Intern
January 1, 2026 – June 1, 2026
Mohali, Punjab, India
Solitaire Infosys Pvt. Ltd.
IoT with Python Intern Trainee
July 1, 2022 – August 1, 2022
Mohali, Punjab, India
Customer Churn Prediction System
June 18, 2026 – Present
Developed a machine learning model using Python, Pandas, and NumPy to analyze customer behavior and predict churn patterns.
File Organizer Automation Tool
June 18, 2026 – Present
Created a Python automation script that automatically organizes files into folders based on file extensions and categories.
Smart Door Locking System
June 18, 2026 – Present
Built an IoT-based Raspberry Pi security system using Python with real-time unauthorized access notifications.
AWS Cloud Practitioner
Unknown
June 1, 2026 – Present
IBM Cybersecurity Analyst
Unknown
June 1, 2026 – Present
IBM Network Security & Database Vulnerabilities
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internships align with a foundational interest in data science, automation, and IoT, which could fit into a data-driven culture. The pursuit of certifications in cloud and cybersecurity indicates a proactive learning attitude. However, the experience level is entry-level, and the projects are academic, suggesting a need for mentorship and structured guidance within a professional team. The diversity of projects (data science, automation, IoT) shows a broad interest, which can be beneficial for adaptability.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on defined tasks and implement solutions. The internship experiences suggest a capacity for learning and applying new technical skills in a structured environment. However, there is insufficient data to assess advanced soft skills such as leadership, complex problem-solving under pressure, or cross-functional collaboration.