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Data Science with 1+ years in ML & 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
Data Analyst skilled in analyzing large datasets, performing exploratory data analysis, and building interactive dashboards to generate actionable insights for data-driven decision-making. Motto is to explore, excavate, experience and evolve in the field.
Government College of Engineering and Ceramic Technology, Kolkata
M.Tech · Computer Science and Engineering (AI and ML)
August 1, 2025 – June 30, 2027
OmDayal Group of Institutions, Uluberia
B.Tech. (Hons) · Computer Science and Engineering
August 1, 2020 – June 30, 2024
CognoRise Infotech
Machine Learning & AI Intern
August 1, 2023 – February 1, 2024
India
CipherByte Technologies
Data Science Intern
January 1, 2023 – June 1, 2023
India
Financial Fraud Detection System
June 1, 2026 – Present
Developed fraud detection models on 284K+ transaction records using XGBoost and Random Forest. Optimized precision-recall via SMOTE, boosting recall by 18% to achieve 92% fraud detection.
View ProjectPersonalized Recommendation Engine
June 1, 2026 – Present
Built recommendation engine on 50K+ user interaction records using collaborative filtering and Apriori. Analyzed user behavior to boost recommendation relevance by 20%, driving cross-selling engagement.
NLP-Based Sentiment Classification System
June 1, 2026 – Present
Designed NLP pipeline on 100K+ text samples using TF-IDF and Count Vectorization. Trained classification models achieving 91% accuracy and improved F1-score by 15%.
Intrusion Detection Using Machine Learning Classification and Regression
June 1, 2026 – Present
Built ML-based intrusion detection system using Logistic Regression, Decision Tree, and Random Forest.
ABHIMANYU: Integrated Surveillance and Exploration Rovers
June 1, 2026 – Present
Designed rover with live video streaming, face detection, and robotic arm for surveillance and rescue.
Stanford ML
DeepLearning.AI
June 1, 2026 – Present
NPTEL (ML, Cloud, IoT, Python)
NPTEL
June 1, 2026 – Present
MERN Stack, REST APIs, JWT, SQL/NoSQL, System Design fundamentals
Unknown
June 1, 2026 – Present
Diploma in Hardware & Networking Engineering
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's profile shows a strong alignment with a data-driven and innovation-focused culture, particularly within AI/ML domains. The diversity of academic projects, ranging from NLP to fraud detection and recommendation systems, indicates a broad interest and adaptability. The pursuit of a Master's degree in AI and ML further solidifies this fit. The certifications and skill badges suggest a self-motivated individual keen on continuous learning and skill development, which is beneficial for a dynamic technical environment.
Soft Skills & Operational Fit
The candidate demonstrates a proactive attitude towards learning and practical application, as evidenced by numerous academic projects, internships, and certifications. The motto 'explore, excavate, experience and evolve' suggests a growth mindset. The project descriptions indicate an ability to work on complex problems and deliver measurable improvements. However, without direct interview data, specific soft skills like teamwork, leadership, and problem-solving under pressure cannot be fully assessed.