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Software Engineer with less than a year in Data Science & 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
Passionate about Data Science, Machine Learning, and Software Development with strong technical foundations. Actively seeking challenging opportunities to apply skills and grow in dynamic, innovation-driven environments.
Techno India University
M.Tech. · Computer Science
October 1, 2024 – Present
West Bengal state University
MSc. · Mathematics
September 1, 2021 – August 1, 2024
West Bengal state University
BSc Hons. · Mathematics
September 1, 2018 – August 1, 2021
Deloitte
Software Engineer Intern
February 1, 2025 – August 31, 2025
India
Netflix-Content-Analysis
June 25, 2026 – Present
Performed exploratory data analysis on Netflix's content dataset using Python and Pandas. Analyzed trends by type, genre, country, and release year; visualized insights using Seaborn and Matplotlib.
View ProjectCreditcard Fraud Detection
June 25, 2026 – Present
Developed an end-to-end Credit Card Fraud Detection system using SQL and Python. Performed anomaly detection with SQL, built ML classification models (Logistic Regression, Random Forest, XGBoost), and visualized transaction patterns using PCA and KMeans clustering.
View ProjectCultural Fit Analysis
The candidate's academic background in Computer Science and Mathematics, coupled with personal projects in data analysis and fraud detection, aligns with a data-driven and analytical culture. The internship at Deloitte suggests exposure to a professional corporate environment. The breadth of technologies used in projects indicates a willingness to learn and apply diverse tools. However, the candidate's experience level is entry-level, which might require more mentorship in a senior role.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on end-to-end solutions and apply analytical skills. The internship experience suggests an understanding of software development processes and optimization. However, without direct assessment data, specific soft skills like teamwork, problem-solving under pressure, or communication style cannot be definitively evaluated.