Skip to content

Commit

Permalink
Update index.html
Browse files Browse the repository at this point in the history
  • Loading branch information
@anandr07
anandr07 authored Feb 18, 2024
1 parent 52c16fc commit 0de5095
Showing 1 changed file with 17 additions and 26 deletions.
43 changes: 17 additions & 26 deletions index.html
View file
Original file line number Diff line number Diff line change
Expand Up @@ -368,6 +368,9 @@ <h3 class="page-title white-text teal">Experience</h3>
<li>
Technical Writer for TowardsAI and Stackademic.
</li>
<li>
Authored engaging technical blogs focused on Artificial Intelligence and Autonomous Cars.
</li>
</ul>
</div>
<div class="card-action">
Expand All @@ -394,16 +397,13 @@ <h3 class="page-title white-text teal">Experience</h3>
<div class="role brown-text text-darken-2">Software Engineer</div>
<ul>
<li>
Product Development - Advanced Driver Assistance Systems - Driving Functions - Safety Functions : EBA(Emergency Brake Assist, RPCP(Rear Pre-Crash Predict), BSW(Blind Spot Warning). Developed products for Volkswagen and Mercedes Benz in agile methodology.
Worked on Advanced Driving Assistance Systems and developed products like Emergency Brake Assist, and Rear Pre-Crash Predict. Major products: Volkswagen ID Buzz and Mercedes Benz Sprinter Van.
</li>
<li>
Algorithm Development in C and Testing using GTest at L3 Level for data coming from ARS (Advance Radar Sensor) - 5th Generation and SRR (Short Range Radar).
Developed algorithm using C. Implemented automation using Python scripting.
</li>
<li>Performed reverse engineering for fixing bugs using the C programming language and providing problem-solving solutions to customer-reported problems in the simulation environment.</li>
<li>Major Products Worked On: Volkswagen ID Buzz </li>
<li>Reduced lead time and increased productivity by Automating manual tasks </li>
<li>Achieved better KPI i.e. 2 False Positives for 10000 kms as per customer expectation. </li>

<li>Provided problem-solving solutions to customer-reported problems in the simulation environment.</li>
<li>Delivered better performance with just 2 false positives per 10,000 kilometers, optimizing key performance indicators.</li>
<li>
<b>Skills learnt:</b> Development in C, Python for scripting, Git, GTest
for Testing, QAC for Quality, JIRA for ticketing, Product
Expand Down Expand Up @@ -435,17 +435,11 @@ <h3 class="page-title white-text teal">Experience</h3>
<div class="role brown-text text-darken-2">Data Science Intern</div>
<ul>
<li>
Collaborated with a dynamic team to conduct in-depth data analysis utilizing Python and Tableau, providing valuable insights into
the client's Sales data.
</li>
<li>
Analyzed user behavior, temporal trends, and distinctions between Free and Paid users.
</li>
<li>
Formulated data-driven recommendations and compelling narratives, and communicated to our client.
Collaborated with a dynamic team to conduct in-depth data analysis utilizing Python and Tableau, providing valuable
insights into client's sales data. Analyzed user behavior, temporal trends, and distinctions between free and paid users.
</li>
<li>
Increased sales by 14%.
Formulated data-driven recommendations and compelling narratives and communicated to our client
</li>
<li>
<b>Skills learnt:</b>Python, Data Analysis, ML Modelling, Flask.
Expand Down Expand Up @@ -475,7 +469,7 @@ <h3 class="page-title white-text teal">Experience</h3>
<div class="role brown-text text-darken-2">Intern</div>
<ul>
<li>
Worked on Validation and Verification Process Standards in avionics hardware.
Worked on validation and verification process standards in avionics hardware.
</li>
<li>
Collaborating with different teams and Reviewing standards of all the Validation and verification processes.
Expand Down Expand Up @@ -521,8 +515,7 @@ <h3 class="page-title white-text teal">Projects</h3>
<ul>
<li><b>Tools:</b> Python </li>
<li> Applied Natural Language Processing techniques to determine if two questions have similar meaning. </li>
<li>Conducted comprehensive data analysis, implemented feature engineering, and generated 33 new features.</li>
<li> Featurized text data using Tf-Idf word2vec, compared multiple ML models and found XGBoost performed the best, minimizing log loss.</li>
<li> Performed comprehensive data analysis, feature engineering, and text data featurization to develop a predictive model.</li>

</ul>
<div class="card-action">
Expand Down Expand Up @@ -556,10 +549,9 @@ <h3 class="page-title white-text teal">Projects</h3>
class="mdi-navigation-close right"></i></span>
<ul>
<li><b>Tools:</b> Python </li>
<li>Aims to predict the trip duration time given pick up and drop off co-ordinates of New York City. (~1.5 million rows).</li>
<li>Performed extensive cleaning and conducted comprehensive data analysis including time series and demand analysis. </li>
<li>XGBoost performs the best with an RMSE of 224 seconds ~ 3.7 minutes. </li>
</ul>
<li>Developed a model for predicting trip duration using New York City pick-up and drop-off coordinates, involving
extensive data cleaning, analysis, and training various ML models, achieving the lowest RMSE of 224 seconds.</li>
</ul>

<div class="card-action">
<!-- <a aria-label="Visit " href="https://galvanic-music.herokuapp.com/" target="_blank" data-position="top"
Expand Down Expand Up @@ -596,9 +588,8 @@ <h3 class="page-title white-text teal">Projects</h3>
class="mdi-navigation-close right"></i></span>
<ul>
<li><b>Tools:</b> Python, Flask, AWS-for deployment.</li>
<li>To predict if a review of a product given by user is positive or negative.</li>
<li>Performed extensive text cleaning and featurizing text data using Bag of Words, Tf-Idf and Tf-Idf word2vec comparing these
features with different ML Models achieving an AUC score of 0.90 using SGD Classifier. </li>
<li>Developed a model to predict if a text review of a product given by user is positive or negative</li>
<li>Performed extensive text cleaning and featurizing text data, achieved an AUC score of 0.90 using SGD Classifier. </li>
<li>Deployed using Flask on AWS EC-2 virtual machine. </li>

</ul>
Expand Down

0 comments on commit 0de5095

Please sign in to comment.