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Data Science with less than a year in Python, Machine Learning, and Deep 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
Entry-Level Data Analyst and Data Science enthusiast with skills in Python, SQL, Excel, Power BI, Machine Learning, and Deep Learning. Experienced in data analysis, dashboard development, predictive modeling, and AI-driven solutions. Passionate about transforming data into actionable insights for data-driven decision-making.
St. Martin's Engineering College (SMEC)
Bachelor of Technology · Computer Science and Engineering
N/A – June 30, 2025
Army Public School, Bolarum
Class XII
N/A – Present
Army Public School, Bolarum
Class X
N/A – Present
Netflix Customer Churn Analysis
January 1, 2025 – December 31, 2025
Analyzed customer churn patterns using Python, SQL, Excel, and Power BI. Built interactive dashboards to visualize retention trends and generate business insights for customer retention.
Live Cart Recommendation System using BERT and ARM Models
January 1, 2025 – December 31, 2025
Developed a recommendation system using BERT and Association Rule Mining (ARM) for personalized car recommendations. Combined NLP and data mining techniques to provide real-time recommendations based on user preferences.
Crop Disease Detection System
January 1, 2024 – December 31, 2024
Built a CNN-based deep learning model to detect crop diseases from leaf images. Performed image preprocessing and classification to support automated disease prediction.
Microsoft HackWithIndia Participation Certificate
Microsoft
June 1, 2026 – Present
Deloitte Data Analytics Job Simulation
Deloitte
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show a proactive approach to learning and applying data science concepts. Participation in certifications and hackathons indicates a drive for continuous learning and engagement with the tech community. The leadership experience suggests an ability to take initiative and work in a team setting, which generally aligns with a collaborative culture. The diversity of academic projects (churn analysis, recommendation systems, image classification) demonstrates a broad interest within data science.
Soft Skills & Operational Fit
The candidate lists leadership, communication, problem-solving, and teamwork as soft skills. Project descriptions indicate an ability to work on complex problems and present findings (dashboards). However, without interview data or specific examples of collaboration, the operational fit is difficult to fully assess beyond self-reported skills.