Parthajit Das
Data Scientist
Kolkata
Summary
Data Scientist with over 3+ years of experience in data analytics, machine learning, and deep learning. Skilled in creating advanced statistical models and AI-driven solutions to extract actionable insights. Proven ability in Generative AI and chatbot development, optimizing user interactions and automating processes. Passionate about deploying data-driven strategies to support business growth and operational efficiency.
Overview
3
3
years of professional experience
4042
4042
years of post-secondary education
1
1
Certification
3
3
Languages
Work History
Data Scientist
Adani Enterprise Limited
01.2023 - Current
- Day-Ahead Electricity Price Forecasting: Designed and deployed 15-minute interval price forecasting models for Day-Ahead Markets to optimize strategic pricing in energy-selling plans. Utilized ARIMA, XGBoost, Multivariate LSTM, and Databricks, achieving 75–90% MAPE accuracy and generating 4–8% monthly cost savings.
- Metal Price Forecasting: Developed a machine learning-based model to predict weekly steel prices for the next six months, leveraging historical and current market data, including production capacity, demand trends, technological innovations, and economic indicators. Applied advanced algorithms such as XGBoost, Random Forest, and VAR to capture complex patterns and improve forecasting accuracy, enabling optimized inventory, procurement, and pricing decisions across the steel supply chain.
- Intelligent Resume Screening Bot: Developed an AI-powered bot to analyses resumes against job descriptions, automating candidate matching, and enhancing recruitment efficiency. Leveraged Azure OpenAI, Sentence Transformers, and Cosine Similarity to improve the speed and precision of candidate selection.
- Market Mix Modelling: Conduct an in-depth analysis of marketing variables, influencing sales in the retail sector. Optimized marketing spend allocation by reallocating funds towards effective drivers, achieving an estimated 20% sales increase. |Methodologies used include UCM, linear regression, mixed model, optimization, and bivariate analysis.
Associate Data Scientist
SIBIA Analytics and Consulting Service PL
06.2022 - 12.2022
- Customer Churn Analytics: Designed and implemented a customer churn analytics solution for a retail industry (B2C). Utilized predictive modeling and machine learning algorithms to identify potential churn factors. Integrated data from various sources to create a holistic view of customer behavior, implemented proactive strategies to retain high-value customers based on predictive insights. Achieved a 30% significant reduction in customer churn rates, enhancing overall costumers retention and financial performance. Logistic regression, Random Forest, K-means clustering methodologies used in this case.
Education
M.Sc. - Statistics
Karnatak University
B.Sc. - Statistics (Hons)
Haldia Government College
Skills
Statistical Methods: Linear/Logistic Regression, Mixed Model, UCM, Time Series Analysis, Cluster Analysis (K-Means, Hierarchical, DBSCAN)
Machine Learning: Random Forest, XG Boost, Light GBM, KNN, SVM
Deep Learning: RNN, LSTM
Programming: Python, SQL
Frameworks: Scikit-learn, PyTorch,TensorFlow and Langchain
Cloud and ML Engineering: Databricks, ML Studio, Vertex AI
Generative AI: Azure Open AI, Gemini Pro, LLaMa2, Vector Embedding, and RAG
Certification
Machine learning on Google Cloud (Vertex AI), Udemy, 2023
Timeline
Data Scientist
Adani Enterprise Limited
01.2023 - Current
Associate Data Scientist
SIBIA Analytics and Consulting Service PL
06.2022 - 12.2022
M.Sc. - Statistics
Karnatak University
B.Sc. - Statistics (Hons)
Haldia Government College
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