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@@ -203,7 +203,7 @@ <h5 class="mb-2">Experience</h5>
 								class="medium lynchin2" style="float:right; color: #08b0b5;">
 								Aug 2019 - Mar 2020</span>
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-						<div class="lynchin"><ul><li><p>Designed and built real-time fraud detection system for ATM transactions, resulting in a significant reduction in fraudulent activity.</p></li><li><p>Implemented ML algorithms and tools such as Tibco Statica, Tibco Datascience, Sk-learn and Tree-based algorithms, etc to clean, enrichment data and train model.</p></li><li><p>Deployed trained model with the ~30% true positive (actual fraudulent activity) and ~25% false negative (actual non-fraudulent notify) result using Spring boot, Kafka.</p></li></ul></div>
+						<div class="lynchin"><ul><li><p>Designed and built real-time fraud detection system for ATM transactions, resulting in a significant reduction in fraudulent activity.</p></li><li><p>Implemented ML algorithms and tools such as Tibco Statica, Tibco Datascience, Pandas, Sk-learn and Tree-based algorithm, etc libraries using Python to load data from Oracle DB for cleansing, enrichment data and train model.</p></li><li><p>Deployed trained model with the ~30% true positive (actual fraudulent activity) and ~25% false negative (actual non-fraudulent notify) result using Spring boot, Kafka with two main streams, one for training cycle, one for detection.</p></li></ul></div>
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 							<span class="badge text-body border border-1">Java</span>
 							<span class="badge text-body border border-1">Python</span>