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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>Rutuja Pathade (She/Her) | Portfolio</title>
<!-- css link -->
<link rel="stylesheet" href="styles.css" />
<!-- box icons -->
<link
href="https://unpkg.com/boxicons@2.1.4/css/boxicons.min.css"
rel="stylesheet"
/>
</head>
<body>
<!-- header section -->
<header>
<a href="#" class="logo">
<img src="img/computer-system-22306.svg" alt="Machine Learning Engineer and Data Analyst" style="width: 30px; height: 30px;">Machine Learning Engineer and Data Analyst
</a>
<ul class="navbar">
<li><a href= #banner>Home</a></li>
<li><a href= #work_ex >Work Experience</a></li>
<li><a href=#projects>Projects</a></li>
<li><a href=#connect>Connect</a></li>
</ul>
<i class="bx bxs-user" id="user-icon"></i>
</header>
<!-- banner section -->
<section class="banner", id = "banner">
<div class="banner-container">
<div><img src="img/0bb8928f-9b41-434b-813f-82887b1a3f27_9_1712011480202.jpeg" alt="" style="width: 300px; height: 300px;"/></div>
<!-- banner content -->
<div class="banner-content", id = "banner">
<h1 class="typing-container" style="font-family: Arial;">
<span class="typing-text">Hello, I am Rutuja :)</span>
<span class="typing-cursor"></span>
</h1>
<p style="color: teal; font-style: italic;">
/* Machine Learning Engineer, Data Analyst, a go-getter! */
</p>
</p>
<p>
I'm a ML researcher, Data Analyst and a strong statistician.
Throughout my career, I've demonstrated a strong
innovative streak coupled with deep technical proficiency
in data science. My track record includes delivering
impactful projects spanning predictive modeling,
customer analytics, retention and churn analysis, and NLP.
<br />
<br />
My accomplishments are a reflection of my
ability to harness the latest technologies
and drive tangible results that make a meaningful
impact on business operations and societal challenges.
<br />
<br />
One of my greatest strengths lies in my
innate curiosity and exceptional ability to adapt
effectively even in challenging situations. I never give up!
<br />
<br />
If you're interested in discussing anything related to data, or
hiring
please don't hesitate to contact me at rutujarameshpathade@gmail.com.
</p>
<div class="btn-container">
<button class="btn">
<a href="https://drive.google.com/file/d/1rmZ6cOpAgfkylSvNAJMmRRY3nS6stG2V/view" target="_blank" style="color: white;" > Resume</a>
<svg
xmlns="http://www.w3.org/2000/svg"
width="13"
height="14"
viewBox="0 0 13 14"
fill="none"
>
<path
d="M11.2203 11.4062L11.3313 1.64895L1.57769 1.93685M10.2334 2.76696L0.821276 12.3513"
stroke="white"
stroke-width="1.5"
stroke-linecap="round"
stroke-linejoin="round"
/>
</svg>
</button>
<div>
<a href="https://www.linkedin.com/in/rutujapathade/" target="_blank">LinkedIn</a>
<!-- <a href="https://www.instagram.com/sanskritipatole/">Instagram </a> -->
<a href="https://github.com/rpathade" target="_blank">Github</a>
</div>
</div>
</div>
</div>
</section>
<!-- Work Experience section -->
<section class="education" id="work_ex">
<div class="title-card">
<img src="img/work.png" alt="" style="width: 35px; height: 35px;" />
<h3>Work Experience</h3>
</div>
<div class="main-container">
<ul class="timeline">
<li class="event" data-date="Jan'24 - Current">
<h3 >University of California, Berkeley</h3>
<h4>Natural Language Processing Research Assistant</h4>
<p>
Employing Large Language Models (LLMs), I analyzed sentiments
in over 200 earnings calls, revealing cultural indicators
and company dynamics. Using Latent Dirichlet Allocation
(LDA) for topic modeling, I attained an 85% accuracy in
extracting trends from the earnings data. .
</p>
</li>
<li class="event" data-date="Oct'22 - Current">
<h3>Santa Clara University</h3>
<h4>Data Science Research Assistant</h4>
<p> Analysed state and checkr data with ~3M records
to uncover systemic
disparities in criminal justice systems across states,
expediting the expungement process by 80%.
Through rigorous data analysis, I identified a $3 million earnings
loss due to unemployment, highlighting the need for targeted
interventions and systemic reform.
</p>
</li>
<li class="event" data-date="Jan'23 - Jun'23">
<h3>Cisco</h3>
<h4>Data Specialist - Capstone</h4>
<p>
Collaborated with the returns team to identify
inefficiencies in their existing returns process,
leading to a $700K annual cost reduction in processing product
returns and replacements. Executed product and customer segmentation
strategies and implemented modifications to enhance current machine
learning models. Additionally, spearheaded proposals for feature
enhancements and defined criteria for A/B testing to further optimize
the returns process.
</p>
</li>
<li class="event" data-date="Jan'23 - Jun'23">
<h3>Santa Clara University</h3>
<h4>Machine Learning Research Assistant</h4>
<p>
Leveraged advanced models like RNNs (Recurrent Neural Networks), CNNs (Convolutional Neural Networks), and LSTMs (Long Short-Term Memory networks), I tailor these models to discern sentiment across a spectrum of satisfaction levels. My focus extends beyond mere positive or negative sentiments; rather, I delve into nuanced aspects such as diversity, career growth, and more, aiming to grasp a comprehensive understanding of employee satisfaction levels. Through this approach, I offer a holistic perspective on the sentiments expressed within these reviews, aiding companies in gauging and enhancing their work environment.
</p>
</li>
<li class="event" data-date="Jan'20 - Jun'22">
<h3>Tata Consultancy Services</h3>
<h4>Systems Engineer</h4>
<p>
Orchestrated a significant 12% increase in conversion rate for 5 clients using Tableau, where I meticulously defined key performance indicators and identified critical segmentations. Additionally, I applied XGBoost to develop insurance claim approval models, integrating Shapley values to gain valuable performance insights. Furthermore, I streamlined the deployment of over 30 microservices for an Insurance and Finance solutions Platform by creating pipelines, facilitating continuous build and deployment of containers in sandbox environments.
</p>
</li>
</ul>
</div>
</section>
<!-- project section -->
<section class="education", id ="projects" >
<div class="title-card">
<img src="img/book-icon.png" alt="" style="width: 35px; height: 35px;" />
<h3>Projects</h3>
</div>
<div class="main-container">
<ul class="timeline">
<li class="event" data-date="Big Data/Data Engineering">
<h3>Insights from YouTube comments</h3>
<!-- <h4>Graduate of Visual Communication Design.</h4> -->
<p>
Tech Stack - Python, AmazonS3, AWS IAM, QuickSight, Glue, Lambda, Athena
</p>
<p>
Developed a data pipeline to effectively manage structured (CSVs containing video comments) and unstructured data
(JSON files specific to different regions), with a data ingestion and visualization workflow.
</p>
</li>
<li class="event" data-date="Machine Learning">
<h3>Lending Club loan defaults prediction</h3>
<!-- <h4>Graduate of Visual Communication Design.</h4> -->
<p>
Tech Stack - Python, Scikit-learn
</p>
<p>
Implemented chi-square tests and Principal Component Analysis to
streamline feature selection & reduce dimensionality.
Utilized GridSearchCV to perform hyperparameter tuning for
Logistic Regression, Naive Bayes, and Decision
Trees, models and determined the most accurate model for
predicting loan defaults
</p>
</li>
<li class="event" data-date="Large Language Models">
<h3>Resume Enhancer using GPT API</h3>
<!-- <h4>Graduate of Visual Communication Design.</h4> -->
<p>
Tech Stack - Python, GPT 3.5 and 4 API, ChromaDB, Streamlit
</p>
<p>
Developed a 2-step resume customization system incorporating
a RAG model with GPT-4 and fine-tuned GPT-3.5.
Enhanced user resumes by aligning them with job requirements
through topic modeling. Benchmarked the system’s
effectiveness through user research, surveys,
and performance evaluations.
</p>
</li>
<li class="event" data-date="Data Analytics">
<h3>Spotify User Segmentation for user analysis</h3>
<!-- <h4>Graduate of Visual Communication Design.</h4> -->
<p>
Tech Stack - Python, Tableau
</p>
<p>
Created Tableau dashboard utilizing data
sourced from the Spotify API, focusing on song
characteristics.
Through collection and organization of this data,
the project aims to unveil insights into users'
listening patterns.
By analyzing various song attributes, the dashboard offers a
comprehensive view of how users interact with music, shedding
light on preferences, trends, and behaviors.
</p>
</li>
<li class="event" data-date="Product and Project Management">
<h3>Sunny Travels</h3>
<!-- <h4>Graduate of Visual Communication Design.</h4> -->
<p>
Translated customer insights into technical solutions,
and utilized SWOT and competitive analysis to ensure
feasibility and strategic alignment for a travel company.
Defined technical and functional requirements,
personas, and over 20 user stories,
managing the product backlog and roadmap for
timely delivery.
Implemented a hybrid SDLC model
that combined Prototyping and Agile Scrum,
</p>
</li>
<li class="event" data-date="Database">
<h3>AllTrails Database Design</h3>
<!-- <h4>Graduate of Visual Communication Design.</h4> -->
<p>
Successfully recreated AllTrails database design project,
utilizing ORM and relational database concepts,
developing database schema for 24 entities,
and strategically mitigating potential challenges
</p>
</li>
</ul>
</div>
</section>
<!-- education section -->
<section class="education", id ="education" >
<div class="title-card">
<img src="img/book-icon-2.png" alt="" style="width: 35px; height: 35px;" />
<h3>Education</h3>
</div>
<div class="main-container">
<ul class="timeline">
<li class="event" data-date="2022 - 2024">
<h3>Santa Clara University, California</h3>
<h4>Masters in Information Systems (Data Science Track)</h4>
<p>
Recieved Merit based Scholarship,
Dean's roll of honor recipient,
Research Assistant on two projects,
AI Club
</p>
</li>
<li class="event" data-date="2020 - 2022">
<h3>Savitribai Phule Pune University, Maharashtra</h3>
<h4>Engineering</h4>
<p>
Value Engineering, Supply Chain Management
</p>
</li>
</ul>
</div>
</section>
<!-- feature and knowledge -->
<section class="feature">
<!-- feature -->
<div>
<h4><img src="img/pin.svg" alt="" />Awards</h4>
<div>
<p><img src="img/check-mark.svg" alt="" />Deans Roll of Honor at Santa Clara University</p>
<p><img src="img/check-mark.svg" alt="" />Merit Based Scholarship</p>
<p><img src="img/check-mark.svg" alt="" />Beyond Excellence Award - Tata Consultancy Services</p>
<p><img src="img/check-mark.svg" alt="" />On the Spot award - Tata Consultancy Services</p>
</div>
</div>
<!-- knowledge -->
<div>
<h4><img src="img/knowledge.svg" alt="" />Tech Stack</h4>
<div class="knowledge-card">
<div>
<p><img src="img/check-mark.svg" alt="" />Machine Learning</p>
<p><img src="img/check-mark.svg" alt="" />Data Analytics</p>
<p><img src="img/check-mark.svg" alt="" />Data Engineering</p>
<p><img src="img/check-mark.svg" alt="" />Natural Language Processing</p>
</div>
<div>
<p><img src="img/check-mark.svg" alt="" />Product management</p>
<p><img src="img/check-mark.svg" alt="" />ROI/ROV Analysis</p>
<p><img src="img/check-mark.svg" alt="" />Roadmap Planning<p>
<p><img src="img/check-mark.svg" alt="" />Agile Methodology</p>
</div>
</div>
</div>
</section>
<!-- footer -->
<footer>
<div class="footer-top", id = 'connect'>
<img src="img/scroll-text.svg" alt="" class="rotating">
<h3 class="footer-title">Available for Work</h3>
</div>
<hr>
<div class="footer-bottom">
<div class="f-navbar">
<div>
<a href="https://www.linkedin.com/in/rutujapathade/" target="_blank" >LinkedIn</a>
<a href="https://public.tableau.com/app/profile/rutuja.pathade/vizzes" target="_blank" >Tableau </a>
<a href="https://github.com/rpathade" target="_blank" >Github</a>
</div>
</div>
<div class="contact-mail">
<p>Interested in working together? Drop me an email</p>
<button class="btn" onclick="copyEmail()"> <img src="img/copy-icon.svg" alt="">Copy Email</button>
<div id="copyPopup" class="popup">
Email copied to clipboard!
</div>
</div>
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<style>
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