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Data Science with 1+ years in Data Engineering & Analytics
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Highly passionate, systematic, and mathematically grounded graduate holding a Post Graduate Diploma in Management (PGDM) in Business Analytics and specialized training across advanced AI, Machine Learning, and Deep Learning tools. Possessing a strong quantitative core derived from a Physics Honours background, bridging the analytical rigor and mathematical precision required to engineer scalable intelligent solutions. Proficient in building neural network architectures, parsing multi-source unstructured text matrices, and deploying statistical data analysis models within clean Python layers. A clear, articulate, and collaborative team contributor with verified certifications in Agile environments and Git version control, eager to bring high enthusiasm, problem-solving skills, and deep data insight generation capabilities to the AI/ML innovation team at MFS Limited. Available immediately.
ITM Business School
Post Graduate Diploma in Management (PGDM) · Business Analytics in Data & Advanced AI and Data Science
August 1, 2022 – June 30, 2024
Panskura Banamali College
Bachelor of Science (B.Sc.) · Physics Honours (Rigorous STEM Core Delivering Strong Mathematical Logic, Complex Analysis & Numerical Precision)
August 1, 2017 – June 30, 2017
P&D Labs
Operational Infrastructure Analyst | Data Engineering & Quality Controls
March 1, 2025 – October 1, 2025
India
Asb&Co
SAI (Strategy Analytics & Implementation) / Performance Specialist
September 1, 2024 – December 1, 2024
India
Prabhadvi, Mumbai
Financial Analyst Intern
March 1, 2023 – August 1, 2023
India
Intelligent Electricity Demand Forecasting Platform
June 1, 2026 – Present
Developed an enhanced electricity demand forecasting platform using ARIMA, XGBoost, and LSTM models on 120,000+ hourly energy consumption records. Engineered advanced temporal, lag-based, and rolling statistical features; evaluated forecasting performance using RMSE, MAE, and MAPE. Integrated SHAP-based explainability to identify demand drivers. Technologies: Python, Pandas, NumPy, XGBoost, TensorFlow, Scikit-Learn, Statsmodels, SHAP, Matplotlib.
Customer Churn Prediction Solutions Framework
June 1, 2026 – Present
Built a predictive analytics solution to identify customers likely to discontinue services using historical behavior and subscription data. Performed exploratory data analysis, feature engineering, and class imbalance handling; developed and compared Logistic Regression, Random Forest, and XGBoost models. Technologies: Python, Pandas, NumPy, Scikit-Learn, XGBoost, SQL, Matplotlib, Seaborn.
NLP-Based Resume Classification & Candidate Screening System
June 1, 2026 – Present
Designed an AI-powered resume screening system using NLP techniques to classify resumes into job categories and rank candidates. Applied text preprocessing, TF-IDF vectorization, and machine learning classification; evaluated performance using Accuracy, Precision, and F1-score. Technologies: Python, NLP, Scikit-Learn, TF-IDF, NLTK, Pandas, NumPy, Matplotlib.
AI-Assisted Knowledge Extraction & Document Parsing Engine
June 1, 2026 – Present
Architected a build-from-scratch research framework using Python text manipulation and parsing libraries to process unstructured text fields. Interpreted complex data distributions, resolved tracking gaps, and built visual summary metrics to monitor trend lines and event ranges. Technologies: Python, NLP, Scikit-Learn, Matplotlib, Seaborn.
End-to-end Enterprise Relational Architecture & Supply Chain Mapping
June 1, 2026 – Present
Migrated unorganized transactional histories and ledger log streams into secure MySQL environments. Written unified query networks and multi-table joins using SQL to clear dataset entries and organize inventory metadata tables efficiently, supporting automated performance charting. Technologies: SQL, MySQL.
Google Data Analytics Professional Certificate
June 1, 2026 – Present
Google Project Management Professional Certification
June 1, 2026 – Present
Microsoft Excel + Power BI & Data Science Professional Certification + Spreadsheet Modeling
Microsoft
June 1, 2026 – Present
Microsoft Certified: Azure Data Scientist Associate
Microsoft
June 1, 2026 – Present
Advanced Python for Data Science and Deep Learning Training Tracks
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a diverse application of data science skills across different domains (energy forecasting, customer churn, resume screening, knowledge extraction). The professional experience, though limited in duration, shows exposure to data engineering, quality control, and performance analysis roles, indicating adaptability. The numerous certifications further highlight a proactive and growth-oriented mindset, aligning well with a dynamic, learning-focused culture. The target role of 'Data Science' aligns well with the candidate's specialization and project work.
Soft Skills & Operational Fit
The candidate's resume highlights collaboration in Agile environments, technical documentation, and problem-solving skills. Experience in scenario planning and data validation suggests an analytical and detail-oriented approach. The professional summary emphasizes being a 'clear, articulate, and collaborative team contributor' and 'eager to bring high enthusiasm, problem-solving skills, and deep data insight generation capabilities'.