NIJI N

Cooler WHRS Optimization Kiln Elbow Jam Prediction Performance Reporting & Visualization

Key Tools: TensorFlow, Transformers, Time Series Modeling, Root Cause Analysis

• Led a 4-member team to optimize the Cooler Waste Heat Recovery System (WHRS), boosting power generation by 1.5 MW through advanced time series analysis.
• Applied transformer-based deep learning models using TensorFlow to forecast temperature and pressure trends, identifying latent inefficiencies in heat recovery.
• Conducted root cause analysis of multi-source sensor data to uncover operational bottlenecks and recommend actionable improvements.
• Collaborated with domain experts to deploy insights, ensuring measurable gains in system efficiency and stability.

Key Tools: Python, Pandas, Scikit-learn, Time Series Forecasting

• Developed and maintained a predictive time series model for early detection of coating formation in kiln elbows, using historical process data.
• Reduced operational disruptions and maintenance costs by forecasting precursors to equipment failures.
• Integrated model predictions into operations through real-time alerts and preventive actions, improving kiln availability and planning efficiency.
• Aligned closely with business stakeholders to translate operational needs into data science solutions.

Key Tools: Pandas, Matplotlib, Seaborn, Fault Tree Analysis

• Incorporated fault tree analysis to systematically trace root causes of failures and visualize critical paths.
• Preprocessed and transformed high-volume time series data into actionable insights for technical and management teams.
• Enhanced cross-departmental decision-making by delivering clear, data-backed visualizations and summaries.

• Developed Covid19-Chatbot using Rasa framework
• Rasa provides a framework for developing AI Chatbot that uses natural language understanding (NLU)
• It also allows the user to train the model and add custom actions
• Developed UI using HTML and CSS and integrated using Flask
• Developed ML Algorithms to predict the concrete compressive strength based important predictors and to identify the best model for our prediction in terms of accuracy
• Web scraping is done using Beautiful Soup library and EDA - using matplotlib and seaborn library.

• Analysing the HR Criteria of a Company and how they promote their Employees and keep Balance between them using Data Analytics, Data Visualisations, and Machine Learning Models
• Performed multiple exploratory data analysis on provided datasets and assisted HR team in developing algorithms for predictive modelling.

• Experience in organising and updating HRIS database
• End to end recruitment and payroll
• HR services within in a large-scale operational environment-and to geographically dispersed teams
• Implementing HR policies procedures and compliance matters (LMRA & GOSI).

• End to end recruitment and payroll
• Handling Visa processing -LMRA, GOSI registration
• Ensuring that all company HR processes and procedures are properly followed for organisational development.

• Provide investments advice to customers
• Excellent understanding of the stock market Particularly NSE &BSE Equity Market.

• Primarily handled senior mid management profiles across the sectors with the use of various sourcing means like Job Portals, Networking sites, Internet Search, Referencing, Mapping, etc
• Play a key role in the end-to-end recruitment process.