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.
<p>Trained 35+ students in programming languages and data analysis techniques, including Python, C, C++, JAVA, and Data Mining<br>
Facilitated hands-on learning experiences, enhancing 35+ students understanding of software engineering, data structures, and algorithmic thinking<br>
Guided students in applying data analysis concepts in real-world scenarios, strengthening their practical skills and knowledge base</p>
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
<p>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%<br>
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<br>
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</p>
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
<p>Analyzed and Supervised 2 sewage treatment plants, enhancing efficiency by 15% and ensuring regulatory compliance<br>
Delivered detailed performance of reports to the proprietor<br>
Unfold and implemented visualization of water test results, reducing reporting time by 20% improving decision -making by 30%</p>
Analyzed and Supervised sewage treatment plants, Implemented visualization of water test results
<p>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<br>
Executed data categorization for over 1,000 entries, attaining a 99% categorization accuracy rate and limiting data fetching time by 35%<br>
Collaborated with cross-functional teams to improve data management practices, contributing to enhanced operational efficiency and data accuracy</p>
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
<p>Designed and used Excel Macros for analyzing over 200 water samples, close to manual processing time by 40% and ensuring consistent accuracy<br>
Prepared and presented detailed performance reports, providing actionable insights that improved operational strategies and efficiency</p>
Designed and used Excel Macros for analyzing water samples, Prepared and presented detailed performance reports
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