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I am a dedicated Data Scientist currently working at RSOFT SYSTEMS AND SERVICES PRIVATE LIMITED. I specialize in developing machine learning models such as Random Forest and XGBoost to predict equipment failures, and Temporal Fusion Transformer models for demand prediction. My work focuses on improving operational efficiency and reducing downtime and costs through automated, real-time data solutions. I collaborate closely with engineers to validate thresholds and deploy solutions that drive measurable business impact. In addition to my data science expertise, I have developed several AI-powered applications including chatbots, multi-agent debate systems, and autonomous research agents. I have strong skills in Python, machine learning, and cloud technologies and continuously enhance my foundation with targeted certifications. My goal is to specialize in deploying machine learning models at scale, delivering innovative AI-driven solutions to complex problems with real-world applications.…I am a dedicated Data Scientist currently working at RSOFT SYSTEMS AND SERVICES PRIVATE LIMITED. I specialize in developing machine learning models such as Random Forest and XGBoost to predict equipment failures, and Temporal Fusion Transformer models for demand prediction. My work focuses on improving operational efficiency and reducing downtime and costs through automated, real-time data solutions. I collaborate closely with engineers to validate thresholds and deploy solutions that drive measurable business impact. In addition to my data science expertise, I have developed several AI-powered applications including chatbots, multi-agent debate systems, and autonomous research agents. I have strong skills in Python, machine learning, and cloud technologies and continuously enhance my foundation with targeted certifications. My goal is to specialize in deploying machine learning models at scale, delivering innovative AI-driven solutions to complex problems with real-world applications.

Adhikarie Swar

Data Scientist, AI Engineer, Developer, +2

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I am a dedicated Data Scientist currently working at RSOFT SYSTEMS AND SERVICES PRIVATE LIMITED. I specialize in developing machine learning models such as Random Forest and XGBoost to predict equipment failures, and Temporal Fusion Transformer models for demand prediction. My work focuses on improving operational efficiency and reducing downtime and costs through automated, real-time data solutions. I collaborate closely with engineers to validate thresholds and deploy solutions that drive measurable business impact. In addition to my data science expertise, I have developed several AI-powered applications including chatbots, multi-agent debate systems, and autonomous research agents. I have strong skills in Python, machine learning, and cloud technologies and continuously enhance my foundation with targeted certifications. My goal is to specialize in deploying machine learning models at scale, delivering innovative AI-driven solutions to complex problems with real-world applications.…I am a dedicated Data Scientist currently working at RSOFT SYSTEMS AND SERVICES PRIVATE LIMITED. I specialize in developing machine learning models such as Random Forest and XGBoost to predict equipment failures, and Temporal Fusion Transformer models for demand prediction. My work focuses on improving operational efficiency and reducing downtime and costs through automated, real-time data solutions. I collaborate closely with engineers to validate thresholds and deploy solutions that drive measurable business impact. In addition to my data science expertise, I have developed several AI-powered applications including chatbots, multi-agent debate systems, and autonomous research agents. I have strong skills in Python, machine learning, and cloud technologies and continuously enhance my foundation with targeted certifications. My goal is to specialize in deploying machine learning models at scale, delivering innovative AI-driven solutions to complex problems with real-world applications.

Available to hire

I am a dedicated Data Scientist currently working at RSOFT SYSTEMS AND SERVICES PRIVATE LIMITED. I specialize in developing machine learning models such as Random Forest and XGBoost to predict equipment failures, and Temporal Fusion Transformer models for demand prediction. My work focuses on improving operational efficiency and reducing downtime and costs through automated, real-time data solutions. I collaborate closely with engineers to validate thresholds and deploy solutions that drive measurable business impact.

In addition to my data science expertise, I have developed several AI-powered applications including chatbots, multi-agent debate systems, and autonomous research agents. I have strong skills in Python, machine learning, and cloud technologies and continuously enhance my foundation with targeted certifications. My goal is to specialize in deploying machine learning models at scale, delivering innovative AI-driven solutions to complex problems with real-world applications.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

Data Scientist at RSoft Systems and Services Private Limited

June 1, 2023 - Present

Developed Random Forest and XGBoost models using historical sensor data (vibration, temperature, error logs) to predict equipment failures. Automated real-time failure alerts by processing live sensor feeds, resulting in 20% reduction in unplanned downtime and significant annual maintenance cost savings. Collaborated with engineers to validate thresholds and deploy solutions enhancing operational efficiency. Built an end-to-end forecasting solution using Temporal Fusion Transformer (TFT) to analyze client sales data, promotions, holidays, and market trends, improving demand prediction accuracy by 15% (MAPE). Automated feature engineering and deployed real-time inventory recommendations, reducing excess stock by 20% and stockouts by 30%. Integrated forecasting models into clients' ERP systems enabling dynamic procurement and staffing adjustments, saving substantial operational costs annually.

Data Scientist at RSOFT SYSTEMS AND SERVICES PRIVATE LIMITED

June 1, 2023 - Present

Developed Random Forest and XGBoost models using historic sensor data to predict equipment failures, automating real-time failure alerts to reduce unplanned downtime by 20% and cut maintenance costs annually. Built an end-to-end forecasting solution using Temporal Fusion Transformer to analyze sales, promotions, holidays, and market trends, improving demand prediction accuracy by 15%. Automated feature engineering and integrated the model with client ERP to enable dynamic procurement and staffing adjustments, resulting in 20% reduction in excess stock and 30% drop in stock outs. Collaborated with engineers to validate thresholds and deploy solutions, enhancing operational efficiency.