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AI Engineer with 2+ years in Machine Learning, Forecasting & Generative AI
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Experienced Data Scientist and AI/ML Engineer with strong expertise in ML, forecasting, and Generative AI, experienced in building production-grade data pipelines, predictive models, and LLM-powered applications. Skilled in Python, SQL, TensorFlow, LangChain, AWS and Gen AI (LLM) architectures, with hands-on experience delivering end-to-end AI solutions that enable faster decision-making and measurable business impact.
University of Kalyani
Master's Degree · Statistics
August 1, 2021 – June 30, 2023
West Bengal State University
Bachelor's Degree · Statistics
August 1, 2018 – June 30, 2021
Intellimark.AI
Data Scientist
December 1, 2025 – Present
India
Tech Mahindra
Associate
July 1, 2025 – November 1, 2025
India
Innovalance Learning Systems Private Limited
Data Analyst (SME)
January 1, 2025 – June 1, 2025
India
Freelance
AI/ML Engineer
June 1, 2024 – December 1, 2024
India
Gyanohm Learning Private Limited
Data Analyst (SME)
February 1, 2024 – May 1, 2024
India
Built my own personal AI data analyst
June 27, 2026 – Present
• Created a Personal AI Data Analyst that uses deterministic data processing and LLM reasoning to translate natural language requests into executable Python code for detailed analysis. • Built a modular ML/AI architecture with Python, Pandas, NumPy, Matplotlib, and LLMs (Ollama) for data ingestion, schema detection, prompt-to-code translation, sandboxed execution, and visualization. • Deployed an interactive Streamlit application that uses production-ready AI design to analyze CSV, Excel, and JSON data in real-time, detect anomalies, and produce insights.
View ProjectPlagiarism Detection Web App
June 27, 2026 – Present
• Developed an end-to-end plagiarism detection system using NLP techniques. Preprocessed text data for tokenization, lowercasing, punctuation removal, and stopword removal. • Employed TF-IDF vectorization to transform the text into numerical features. Trained a logistic regression model to accurately detect plagiarism between two text documents. Deployed the model as a Flask web application to make it easily accessible for users to interact with.
View ProjectTourism Package Prediction
June 27, 2026 – Present
• Built a model to predict the potential customers who will purchase the newly introduced package. Executed customer profiling, Bagging, Random Forest, AdaBoost, Gradient Boosting, XGBoost, Stacking Classifier, and hyperparameter tuning, and provided business recommendations with the highest accuracy score of 0.92. • Utilized PostgreSQL to expand customer profiles and identify key characteristics.
View ProjectCustomer Segmentation
June 27, 2026 – Present
• Built an end-to-end AI-powered customer segmentation system using K-Means clustering to identify high-value customer groups based on income and spending behavior. • Applied EDA, feature selection, and Elbow Method (WCSS) to determine optimal clusters and convert them into actionable marketing strategies. • Deployed the trained ML model as a Streamlit web application with real-time predictions, interactive visualizations, and production-ready ML practices.
View ProjectCultural Fit Analysis
The candidate's project portfolio showcases a strong interest in AI/ML, with several personal projects demonstrating initiative and a passion for the field. The experience across different companies (Intellimark.AI, Tech Mahindra, Freelance) and roles (Data Scientist, AI/ML Engineer, Data Analyst) indicates adaptability and a willingness to take on varied challenges. The focus on end-to-end solutions and measurable impact aligns with a results-oriented culture. The breadth of technologies and methodologies used suggests a continuous learning mindset, which is valuable for cultural fit in a rapidly evolving AI domain.
Soft Skills & Operational Fit
The candidate's project descriptions and experience highlight a results-driven approach, with a focus on delivering measurable business impact and improving efficiency. The diverse range of projects, from personal AI data analysts to plagiarism detection and customer segmentation, indicates a proactive and problem-solving mindset. Experience in deploying interactive applications (Streamlit, Flask) suggests an understanding of user experience and operational deployment. The candidate's background as a Data Analyst (SME) also implies strong analytical and problem-solving skills, crucial for an AI Engineer role.