I am a quantitative and data analytics professional with hands-on experience delivering machine-learning solutions, predictive models, and data-driven insights across industrial IoT, environmental services, and business …
I am a quantitative and data analytics professional with hands-on experience delivering machine-learning solutions, predictive models, and data-driven insights across industrial IoT, environmental services, and business analytics domains.
With strong skills in Python, R, SQL, Excel automation, time-series forecasting, and statistical modeling, I specialize in building models that enhance operational efficiency, reduce risk, and improve decision-making.
At Cybrlytics Technology, I developed predictive maintenance models (Random Forest, XGBoost, LSTM) achieving up to 92% accuracy, enabling 24% downtime reduction, 21% maintenance cost savings, and 50% fewer production losses. I also built real-time analytics dashboards integrating PLC, SCADA, ERP, and sensor data—reducing reporting time by 30%.
My work spans forecasting, optimization, stochastic modeling, risk metrics, recommender systems, and NLP.
I bring strong communication skills from teaching 35+ students in programming and data mining, simplifying complex concepts for non-technical audiences.
Currently based in Dublin, I am seeking opportunities as a Quantitative Analyst, Data Scientist, Machine Learning Engineer, AI Engineer , Financial Analyst and Risk Analyst where I can apply advanced analytics, statistical modeling, and ML to solve high-impact business and financial problems.
Trained 35+ students in programming languages and data analysis techniques, including Python, C, C++, JAVA, and Data Mining
Facilitated hands-on learning experiences, enhancing 35+ students understanding of software engineering, data structures, and algorithmic thinking
Guided students in applying data analysis concepts in real-world scenarios, strengthening their practical skills and knowledge base
Trained 35+ students in programming languages and data analysis techniques, Facilitated hands-on learning experiences, Guided students in applying data analysis concepts in real-world scenarios
Amplified a full Industrial IoT Analytics system by integrating PLC, SCADA, energy meter, lab, and ERP data, and built real-time Excel dashboards to track production efficiency, downtime, energy usage, and quality metrics— bring to reporting time by 30%
Built predictive maintenance ML models (Random Forest, XGBoost, LSTM, up to 92% accuracy) to forecast failures in bearings, motors, belts, and pressure valves 4–15 days in advance, supported by a machine health scoring system and automated SMS/email alerting
Delivered major operational improvements, including 24% downtime reduction, 21% maintenance cost reduction, and 50% fewer production losses, along with predictive quality analytics (moisture variance ±0.2%) to optimize machine settings in real time—saving ₹10–12 lakhs annually
Amplified a full Industrial IoT Analytics system by integrating PLC, SCADA, energy meter, lab, and ERP data, Built predictive maintenance ML models, Delivered major operational improvements
Analyzed and Supervised 2 sewage treatment plants, enhancing efficiency by 15% and ensuring regulatory compliance
Delivered detailed performance of reports to the proprietor
Unfold and implemented visualization of water test results, reducing reporting time by 20% improving decision -making by 30%
Analyzed and Supervised sewage treatment plants, Implemented visualization of water test results
Spearheaded initiatives to streamline image-to-brand mapping in Microsoft Excel, resulting in a 35% increase in data retrieval efficiency and a 25% reduction in data entry time
Executed data categorization for over 1,000 entries, attaining a 99% categorization accuracy rate and limiting data fetching time by 35%
Collaborated with cross-functional teams to improve data management practices, contributing to enhanced operational efficiency and data accuracy
Spearheaded initiatives to streamline image-to-brand mapping in Microsoft Excel, Executed data categorization for over 1,000 entries, Collaborated with cross-functional teams to improve data management practices
Designed and used Excel Macros for analyzing over 200 water samples, close to manual processing time by 40% and ensuring consistent accuracy
Prepared and presented detailed performance reports, providing actionable insights that improved operational strategies and efficiency
Designed and used Excel Macros for analyzing water samples, Prepared and presented detailed performance reports
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