feat: ✨ add previous experience

raw-resume.html

@@ -80,10 +80,10 @@ <h5>Experience</h5>
             <div>May 2019 - July 2021</div>
         </div>
         <div class="space-between italic-text">
-            <div>dataVediK - Optimize Oil & Gas operations by Machine Learning. [<a href="https://www.agoraiot.com/marketplace/drillvedik">DrillVedik</a>] [<a href="https://yambottle.github.io/me/more.html#datavedik">Details</a>]</div>
+            <div>dataVediK - Optimize Oil & Gas operations by Machine Learning. [<a href="https://www.agoraiot.com/marketplace/drillvedik">DrillVedik</a>]</div> <!--[<a href="https://yambottle.github.io/me/more.html#datavedik">Details</a>]-->
             <div>Houston, TX</div>
         </div>
-        <!-- <div class="content-padding-left">
+        <div class="content-padding-left">
             <div>
                 <b class="italic-text">* Interactive Drilling Dashboard: </b>This is an <b>enterprise</b> product that I worked with two more engineers. Developed a <b>Plotly Dash</b> dashboard that visualizes processed data using Bootstrap, CSS media query, <b>Redis</b> and sqlalchemy. Also, implemented a <b>socket</b> service will notify when <b>Airflow</b> pipeline finished processing in order to <b>synchronize</b>(refresh) the dashboard's data.
             </div>
@@ -105,7 +105,7 @@ <h5>Experience</h5>
             <div>
                 <b class="italic-text">* Drilling Speed Prediction: </b>Working with a domain expert, applied Gaussian Process <b>Regression</b> for feature synthesis based on geographical information as well as <b>feature engineering</b> based on correlation matrix and F1 score ranking, built a non-linear regression model using LSTM RNN.
             </div>
-        </div> -->
+        </div>
     </div>
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