Update index.html

index.html

@@ -109,7 +109,7 @@ <h3>Education</h3>
             <h3>Work Experience</h3>
             <ul>
               <li>
-                <span class="job-title"><b>MAchine leaarning Researcher @ UCI School Of Education | Irvine</b></span>
+                <span class="job-title"><b>Machine leaarning Researcher @ UCI School Of Education | Irvine</b></span>
                 <span class="time-period"><i>(Jun. 2024 - Present)</i></span>
                 <ul>
                   <li>Enhanced data preprocessing (tokenization, lemmatization, stop-word removal) and feature extraction (TF-IDF, word embeddings), improving classification accuracy of collaborative and cognitive behaviors in classroom interactions by 15%.</li>
@@ -127,10 +127,13 @@ <h3>Work Experience</h3>
                 </ul>
               </li>
               <li>
-                <span class="job-title"><b>Python Developer Intern @ Enhanced Communications & Technologies Pvt. Ltd | New Delhi, India</b></span>
+                <span class="job-title"><b>Data Science Intern @ LTIMindtree | India</b></span>
                 <span class="time-period"><i>(Mar 2021 - May 2021)</i></span>
                 <ul>
-                  <li>Established a sturdy data warehouse framework, emphasizing Linux, SQL, and Python integration to improve speed and stability.</li>
+                  <li>Directed data collection by web scraping images from diverse online sources to develop an Image Analysis System on Microsoft Azure using Custom Vision, achieving a 40% reduction in verification time for adherence to organizational dress code policies.</li>
+                  <li>Implemented ETL workflow for data extraction, deduplication, and database loading on a dataset of 5000 customer complaints, and executed exploratory data analysis (EDA) using text mining (Bag of Words and Tokenization) to derive insights.</li>
+                  <li>Formulated a Named Entity Recognition (NER) system using NLTK and spaCy to streamline complaint classification, facilitating routing to the appropriate department and reducing response time for handling customer feedback by 30%.</li>
+                  <li>Leveraged GitHub Actions to create a CI/CD workflow for automating the testing and deployment of the NER system.</li>
                 </ul>
               </li>
             </ul>