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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>Hemalatha Katta | Data Science Professional</title>
<style>
/* --- CSS Variables & Reset --- */
:root {
--primary: #1e293b; /* Deep Slate Blue */
--secondary: #334155; /* Lighter Slate */
--accent: #0ea5e9; /* Professional Teal/Blue */
--bg-light: #f8fafc; /* Very Light Gray Bg */
--text-dark: #1e293b;
--text-light: #64748b;
--white: #ffffff;
--shadow: 0 4px 6px -1px rgb(0 0 0 / 0.1), 0 2px 4px -2px rgb(0 0 0 / 0.1);
}
* { box-sizing: border-box; }
body {
font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, Helvetica, Arial, sans-serif;
line-height: 1.7;
color: var(--text-dark);
margin: 0;
background-color: var(--bg-light);
}
h1, h2, h3 { margin-top: 0; color: var(--primary); line-height: 1.2; }
h1 { font-size: 3rem; font-weight: 800; letter-spacing: -1px; }
h2 { font-size: 2rem; margin-bottom: 1.5rem; position: relative; display: inline-block; }
h2::after {
content: ''; display: block; width: 50%; height: 4px;
background: var(--accent); margin-top: 8px; border-radius: 2px;
}
a { text-decoration: none; color: inherit; transition: all 0.3s ease; }
p { margin-bottom: 1.5rem; color: var(--text-secondary); }
/* --- Reusable Classes --- */
.container { max-width: 1100px; margin: 0 auto; padding: 0 2rem; }
.section { padding: 5rem 0; }
.svg-icon { width: 20px; height: 20px; vertical-align: middle; margin-right: 8px; fill: currentColor; }
/* --- HEADER (Hero Section) --- */
header {
background: linear-gradient(135deg, var(--primary) 0%, #0f172a 100%);
color: var(--white);
padding: 6rem 0;
text-align: center;
}
header h1 { color: var(--white); margin-bottom: 1rem; }
.hero-tagline { font-size: 1.4rem; font-weight: 300; opacity: 0.9; margin-bottom: 2rem; }
.header-contact { display: flex; justify-content: center; gap: 20px; flex-wrap: wrap; font-size: 1.1rem; }
.header-contact div { display: flex; align-items: center; opacity: 0.9; }
.contact-link { color: var(--white); border-bottom: 1px dotted rgba(255,255,255,0.5); }
.contact-link:hover { color: var(--accent); border-bottom: 1px solid var(--accent); }
/* --- ABOUT SECTION --- */
#about { background: var(--white); }
.about-content { font-size: 1.15rem; max-width: 800px; }
.highlight { color: var(--accent); font-weight: 600; }
/* --- SKILLS SECTION (Graphical) --- */
.skills-container {
display: grid;
grid-template-columns: repeat(auto-fit, minmax(300px, 1fr));
gap: 2rem;
}
.skill-category-card {
background: var(--white);
padding: 2rem;
border-radius: 12px;
box-shadow: var(--shadow);
border-top: 4px solid var(--accent);
}
.skill-cat-title { display: flex; align-items: center; font-size: 1.2rem; font-weight: 700; margin-bottom: 1.5rem; }
.skill-cat-title svg { width: 24px; height: 24px; margin-right: 10px; fill: var(--accent); }
.skill-badges { display: flex; flex-wrap: wrap; gap: 10px; }
.skill-badge {
background: var(--bg-light);
color: var(--secondary);
padding: 6px 14px;
border-radius: 20px;
font-weight: 600;
font-size: 0.9rem;
border: 1px solid #e2e8f0;
}
/* --- PROJECTS SECTION (Cards with Graphics) --- */
#projects { background: var(--white); }
.project-grid { display: grid; grid-template-columns: repeat(auto-fit, minmax(320px, 1fr)); gap: 2.5rem; }
.project-card {
background: var(--white);
border-radius: 12px;
overflow: hidden;
box-shadow: var(--shadow);
transition: transform 0.3s ease, box-shadow 0.3s ease;
border: 1px solid #e2e8f0;
display: flex; flex-direction: column;
}
.project-card:hover { transform: translateY(-5px); box-shadow: 0 10px 15px -3px rgb(0 0 0 / 0.1); }
/* Placeholder for project image */
.project-image {
height: 160px;
background: linear-gradient(45deg, var(--secondary), var(--primary));
display: flex; align-items: center; justify-content: center;
color: var(--white); font-weight: bold; letter-spacing: 1px; opacity: 0.9;
text-align: center; padding: 10px; font-size: 0.9rem;
}
.project-content { padding: 2rem; flex-grow: 1; display: flex; flex-direction: column; }
.project-role { color: var(--accent); font-size: 0.85rem; font-weight: 700; margin-bottom: 0.5rem; text-transform: uppercase; letter-spacing: 0.5px; }
.project-title { font-size: 1.3rem; margin-bottom: 1rem; font-weight: 700; }
.project-desc { font-size: 0.95rem; color: var(--text-light); flex-grow: 1; margin-bottom: 1rem; }
.project-tech-stack { margin-top: auto; margin-bottom: 1.5rem; display: flex; flex-wrap: wrap; gap: 8px; }
.tech-tag { font-size: 0.75rem; font-family: monospace; background: #f1f5f9; padding: 4px 8px; border-radius: 4px; color: var(--secondary); border: 1px solid #e2e8f0; }
.btn-project {
display: inline-flex; align-items: center;
background: var(--primary); color: var(--white);
padding: 10px 20px; border-radius: 6px; font-weight: 600; font-size: 0.9rem;
align-self: flex-start; transition: background 0.3s ease;
}
.btn-project:hover { background: var(--accent); }
.btn-project svg { margin-left: 8px; fill: white; }
/* --- EXPERIENCE & EDUCATION --- */
.timeline-item {
background: var(--white); padding: 2rem; border-radius: 12px;
box-shadow: var(--shadow); margin-bottom: 2rem; border-left: 4px solid var(--accent);
}
.timeline-header { display: flex; justify-content: space-between; align-items: flex-start; margin-bottom: 1rem; }
.timeline-role { font-size: 1.2rem; font-weight: 700; }
.timeline-company { font-size: 1.1rem; color: var(--accent); }
.timeline-date { color: var(--text-light); font-weight: 600; white-space: nowrap; }
.timeline-list { padding-left: 1.2rem; color: var(--text-light); }
.timeline-list li { margin-bottom: 0.8rem; }
/* --- FOOTER --- */
footer { background: var(--primary); color: var(--white); padding: 4rem 0; text-align: center; }
.footer-links { display: flex; justify-content: center; gap: 2rem; margin-bottom: 2rem; }
.footer-links a { display: flex; align-items: center; font-weight: 600; opacity: 0.8; transition: opacity 0.3s; }
.footer-links a:hover { opacity: 1; color: var(--accent); }
.copyright { opacity: 0.7; font-size: 0.9rem; }
@media (max-width: 768px) {
h1 { font-size: 2.2rem; }
.hero-tagline { font-size: 1.1rem; }
.header-contact { flex-direction: column; gap: 10px; }
.timeline-header { flex-direction: column; }
.timeline-date { margin-top: 0.5rem; }
}
</style>
</head>
<body>
<header>
<div class="container">
<h1>Hemalatha Katta</h1>
<p class="hero-tagline">Data Science Professional | Bridging Statistical Modeling & Business Strategy</p>
<div class="header-contact">
<div>
<svg class="svg-icon" viewBox="0 0 24 24"><path d="M20 4H4c-1.1 0-1.99.9-1.99 2L2 18c0 1.1.9 2 2 2h16c1.1 0 2-.9 2-2V6c0-1.1-.9-2-2-2zm0 4l-8 5-8-5V6l8 5 8-5v2z"/></svg>
<a href="mailto:hkatta097@gmail.com" class="contact-link">hkatta097@gmail.com</a>
</div>
</div>
</div>
</header>
<section id="about" class="section">
<div class="container">
<h2>About Me</h2>
<p class="about-content">
I specialize in bridging the gap between advanced statistical modeling and actionable business strategy.
As a Master’s candidate in Data Science, I combine technical expertise in <strong>Python, R, and SQL</strong> with a proven track record of optimizing business workflows.
My experience spans industries from enhancing operational efficiency at <span class="highlight">Accenture</span> to pioneering IoT solutions at <span class="highlight">Solbots</span> allowing me to deliver data-driven insights that are not only accurate but commercially impactful.
</p>
</div>
</section>
<section id="skills" class="section" style="background: var(--bg-light);">
<div class="container">
<h2>Technical Expertise</h2>
<div class="skills-container">
<div class="skill-category-card">
<div class="skill-cat-title">
<svg viewBox="0 0 24 24"><path d="M9.4 16.6L4.8 12l4.6-4.6L8 6l-6 6 6 6 1.4-1.4zm5.2 0l4.6-4.6-4.6-4.6L16 6l6 6-6 6-1.4-1.4z"/></svg>
Languages & Core
</div>
<div class="skill-badges">
<span class="skill-badge">Python</span>
<span class="skill-badge">R</span>
<span class="skill-badge">SQL</span>
<span class="skill-badge">Java</span>
<span class="skill-badge">Statistical Methods</span>
</div>
</div>
<div class="skill-category-card">
<div class="skill-cat-title">
<svg viewBox="0 0 24 24"><path d="M12 2C6.48 2 2 6.48 2 12s4.48 10 10 10 10-4.48 10-10S17.52 2 12 2zm0 18c-4.41 0-8-3.59-8-8s3.59-8 8-8 8 3.59 8 8-3.59 8-8 8z"/><path d="M7 13h10v-2H7v2zm0-4h10V7H7v2zm0 8h10v-2H7v2z"/></svg>
AI & Data Eng
</div>
<div class="skill-badges">
<span class="skill-badge">TensorFlow/Keras</span>
<span class="skill-badge">Scikit-learn</span>
<span class="skill-badge">ETL Pipelines</span>
<span class="skill-badge">Snowflake/MySQL</span>
<span class="skill-badge">Box-Jenkins</span>
</div>
</div>
<div class="skill-category-card">
<div class="skill-cat-title">
<svg viewBox="0 0 24 24"><path d="M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z"/></svg>
Viz & Tools
</div>
<div class="skill-badges">
<span class="skill-badge">Tableau</span>
<span class="skill-badge">Power BI</span>
<span class="skill-badge">Matplotlib</span>
<span class="skill-badge">Bloomberg Terminal</span>
<span class="skill-badge">Git/GitHub</span>
</div>
</div>
</div>
</div>
</section>
<section id="projects" class="section">
<div class="container">
<h2>Featured Projects</h2>
<div class="project-grid">
<div class="project-card">
<div class="project-image" style="background: linear-gradient(45deg, #4c1d95, #8b5cf6);">
ML + NLP FINANCE
</div>
<div class="project-content">
<div class="project-role">Machine Learning Engineer</div>
<h3 class="project-title">Financial Portfolio Management</h3>
<p class="project-desc">
Developed a dynamic portfolio system using Random Forest for stock prediction and <strong>BERT/VADER</strong> for sentiment analysis. Integrated Reinforcement Learning for real-time market adaptation.
</p>
<div class="project-tech-stack">
<span class="tech-tag">Python</span>
<span class="tech-tag">NLP (BERT)</span>
<span class="tech-tag">Reinforcement Learning</span>
</div>
<a href="https://github.com/HemalathaKatta/Financial-portfolio-Management/tree/main" target="_blank" class="btn-project">
View on GitHub <svg class="svg-icon" viewBox="0 0 24 24"><path d="M12 4l-1.41 1.41L16.17 11H4v2h12.17l-5.58 5.59L12 20l8-8z"/></svg>
</a>
</div>
</div>
<div class="project-card">
<div class="project-image" style="background: linear-gradient(45deg, #0f766e, #0ea5e9);">
AI DIAGNOSIS (96% AUC)
</div>
<div class="project-content">
<div class="project-role">Computer Vision Engineer</div>
<h3 class="project-title">Pneumonia Detection using Deep Learning</h3>
<p class="project-desc">
Engineered a DenseNet121 Transfer Learning model achieving <strong>96% AUC</strong> and <strong>90.3% Sensitivity</strong>. Identified and fixed critical data leakage in the baseline dataset to prevent overfitting.
</p>
<div class="project-tech-stack">
<span class="tech-tag">Python</span>
<span class="tech-tag">TensorFlow</span>
<span class="tech-tag">DenseNet121</span>
</div>
<a href="https://github.com/HemalathaKatta/Pneumonia-Detection-using-Deep-Learning" target="_blank" class="btn-project">
View on GitHub <svg class="svg-icon" viewBox="0 0 24 24"><path d="M12 4l-1.41 1.41L16.17 11H4v2h12.17l-5.58 5.59L12 20l8-8z"/></svg>
</a>
</div>
</div>
<div class="project-card">
<div class="project-image" style="background: linear-gradient(45deg, #be185d, #f43f5e);">
TIME SERIES FORECAST
</div>
<div class="project-content">
<div class="project-role">Quantitative Analysis</div>
<h3 class="project-title">Economic Indicator Forecasting</h3>
<p class="project-desc">
Modeled 10-year trends for EUR/USD and Housing Starts using Box-Jenkins methodology. Applied Log Transformations and Differencing to generate reliable 24-month ARIMA/SARIMA forecasts.
</p>
<div class="project-tech-stack">
<span class="tech-tag">R</span>
<span class="tech-tag">ARIMA/SARIMA</span>
<span class="tech-tag">Box-Jenkins</span>
</div>
<a href="https://github.com/HemalathaKatta/An-Analysis-of-EUR-USD-Exchange-Rates-and-US-Housing-Starts" target="_blank" class="btn-project">
View on GitHub <svg class="svg-icon" viewBox="0 0 24 24"><path d="M12 4l-1.41 1.41L16.17 11H4v2h12.17l-5.58 5.59L12 20l8-8z"/></svg>
</a>
</div>
</div>
<div class="project-card">
<div class="project-image" style="background: linear-gradient(45deg, #4338ca, #6366f1);">
FINANCIAL DATA PIPELINE
</div>
<div class="project-content">
<div class="project-role">Data Engineering</div>
<h3 class="project-title">Audit of Financial Providers</h3>
<p class="project-desc">
Built a Python pipeline merging Yahoo/CRSP data using stable CUSIP/PERMNO identifiers. Quantified a <strong>0.30% inflation</strong> in performance caused by survivorship bias.
</p>
<div class="project-tech-stack">
<span class="tech-tag">Python</span>
<span class="tech-tag">WRDS/CRSP</span>
<span class="tech-tag">Data Pipelines</span>
</div>
<a href="#" target="_blank" class="btn-project">
View on GitHub <svg class="svg-icon" viewBox="0 0 24 24"><path d="M12 4l-1.41 1.41L16.17 11H4v2h12.17l-5.58 5.59L12 20l8-8z"/></svg>
</a>
</div>
</div>
<div class="project-card">
<div class="project-image" style="background: linear-gradient(45deg, #f59e0b, #d97706);">
GEOSPATIAL ANALYTICS
</div>
<div class="project-content">
<div class="project-role">Data Analyst</div>
<h3 class="project-title">California Housing EDA</h3>
<p class="project-desc">
Performed comprehensive EDA on 1990 Census data. Applied geospatial analysis and ANOVA to identify that median income and ocean proximity are the strongest drivers of housing prices.
</p>
<div class="project-tech-stack">
<span class="tech-tag">Python</span>
<span class="tech-tag">Pandas/Seaborn</span>
<span class="tech-tag">Geospatial Analysis</span>
</div>
<a href="#" target="_blank" class="btn-project">
View on GitHub <svg class="svg-icon" viewBox="0 0 24 24"><path d="M12 4l-1.41 1.41L16.17 11H4v2h12.17l-5.58 5.59L12 20l8-8z"/></svg>
</a>
</div>
</div>
</div>
</div>
</section>
<section id="experience" class="section" style="background: var(--bg-light);">
<div class="container">
<h2>Professional Experience</h2>
<div class="timeline-item">
<div class="timeline-header">
<div>
<div class="timeline-role">Data Analyst</div>
<div class="timeline-company">Accenture</div>
</div>
<div class="timeline-date">Apr 2022 - Apr 2024</div>
</div>
<ul class="timeline-list">
<li>Analyzed large and complex datasets to identify patterns and actionable insights to support strategic business decisions.</li>
<li>Developed and maintained interactive dashboards in Tableau and Power BI, monitoring key performance indicators (KPIs).</li>
<li>Conducted data validation and documentation to ensure data accuracy and reliability across the pipeline.</li>
<li>Collaborated with cross-functional teams to translate business requirements into data-driven solutions.</li>
</ul>
</div>
<div class="timeline-item">
<div class="timeline-header">
<div>
<div class="timeline-role">Data Analyst / Machine Learning Engineer</div>
<div class="timeline-company">Solbots Technologies</div>
</div>
<div class="timeline-date">Mar 2019 - Mar 2022</div>
</div>
<ul class="timeline-list">
<li>Built end-to-end voice recognition systems using CNNs, achieving <strong>90%+ command accuracy</strong> for IoT prosthetic devices.</li>
<li>Automated data preprocessing workflows, reducing manual reporting effort by <strong>30%</strong> and enhancing model training efficiency.</li>
<li>Designed an Automated Food Dispensing System using DC motors and sensors, improving operational productivity.</li>
</ul>
</div>
</div>
</section>
<section id="education" class="section">
<div class="container">
<h2>Education</h2>
<div class="timeline-item" style="border-left-color: var(--primary);">
<div class="timeline-header">
<div>
<div class="timeline-role">Master of Science, Data Science</div>
<div class="timeline-company">Stevens Institute of Technology</div>
</div>
<div class="timeline-date">GPA: 3.31 | Exp. May 2026</div>
</div>
<p style="margin-top: 1rem; margin-bottom: 0;">
<strong>Relevant Coursework:</strong> Deep Learning, Time Series Analysis, Applied Machine Learning, Statistical Methods, Data Visualization, Numerical Linear Algebra, Marketing Analytics, Introduction to Bloomberg LSEG, and Capital IQ, Financial Lab: Practical Aspects of Database Design.
</p>
</div>
</div>
</section>
<section id="certifications" class="section" style="background: var(--bg-light);">
<div class="container">
<h2>Certifications</h2>
<div class="skills-container">
<div class="skill-category-card" style="border-top-color: var(--primary); display: flex; flex-direction: column;">
<div class="skill-cat-title" style="margin-bottom: 0.5rem;">
<svg viewBox="0 0 24 24" style="width: 24px; height: 24px; margin-right: 10px; fill: var(--primary);"><path d="M12 1L3 5v6c0 5.55 3.84 10.74 9 12 5.16-1.26 9-6.45 9-12V5l-9-4zm-2 16l-4-4 1.41-1.41L10 14.17l6.59-6.59L18 9l-8 8z"/></svg>
Databases & SQL
</div>
<p style="font-size: 0.95rem; color: var(--text-dark); font-weight: 600; margin-bottom: 0.2rem;">
Databases and SQL for Data Science with Python
</p>
<span style="font-size: 0.85rem; color: var(--text-light); margin-bottom: 1rem;">IBM / Coursera</span>
<a href="https://www.coursera.org/account/accomplishments/certificate/ZJ2RCZTTJJ7A" target="_blank" style="margin-top: auto; font-size: 0.85rem; font-weight: 600; color: var(--accent); display: flex; align-items: center;">
View Credential <svg viewBox="0 0 24 24" style="width: 14px; height: 14px; margin-left: 4px; fill: currentColor;"><path d="M19 19H5V5h7V3H5c-1.11 0-2 .9-2 2v14c0 1.1.89 2 2 2h14c1.1 0 2-.9 2-2v-7h-2v7zM14 3v2h3.59l-9.83 9.83 1.41 1.41L19 6.41V10h2V3h-7z"/></svg>
</a>
</div>
<div class="skill-category-card" style="border-top-color: var(--primary); display: flex; flex-direction: column;">
<div class="skill-cat-title" style="margin-bottom: 0.5rem;">
<svg viewBox="0 0 24 24" style="width: 24px; height: 24px; margin-right: 10px; fill: var(--primary);"><path d="M11.99 2C6.47 2 2 6.48 2 12s4.47 10 9.99 10C17.52 22 22 17.52 22 12S17.52 2 11.99 2zm6.93 6h-2.95c-.32-1.25-.78-2.45-1.38-3.56 1.84.63 3.37 1.91 4.33 3.56zM12 4.04c.83 1.2 1.48 2.53 1.91 3.96h-3.82c.43-1.43 1.08-2.76 1.91-3.96zM4.26 14C4.1 13.36 4 12.69 4 12s.1-1.36.26-2h3.38c-.08.66-.14 1.32-.14 2 0 .68.06 1.34.14 2H4.26zm.82 2h2.95c.32 1.25.78 2.45 1.38 3.56-1.84-.63-3.37-1.91-4.33-3.56zm2.95-8H5.08c.96-1.65 2.49-2.93 4.33-3.56C8.81 5.55 8.35 6.75 8.03 8zM12 19.96c-.83-1.2-1.48-2.53-1.91-3.96h3.82c-.43 1.43-1.08 2.76-1.91 3.96zM14.34 14H9.66c-.09-.66-.16-1.32-.16-2 0-.68.07-1.35.16-2h4.68c.09.65.16 1.32.16 2 0 .68-.07 1.34-.16 2zm.25 5.56c.6-1.11 1.06-2.31 1.38-3.56h2.95c-.96 1.65-2.49 2.93-4.33 3.56zM16.36 14c.08-.66.14-1.32.14-2 0-.68-.06-1.34-.14-2h3.38c.16.64.26 1.31.26 2s-.1 1.36-.26 2h-3.38z"/></svg>
Python for Data Science
</div>
<p style="font-size: 0.95rem; color: var(--text-dark); font-weight: 600; margin-bottom: 0.2rem;">
Python for Data Science, AI & Development
</p>
<span style="font-size: 0.85rem; color: var(--text-light); margin-bottom: 1rem;">IBM / Coursera</span>
<a href="https://www.coursera.org/account/accomplishments/certificate/WZPWWPQ2457H" target="_blank" style="margin-top: auto; font-size: 0.85rem; font-weight: 600; color: var(--accent); display: flex; align-items: center;">
View Credential <svg viewBox="0 0 24 24" style="width: 14px; height: 14px; margin-left: 4px; fill: currentColor;"><path d="M19 19H5V5h7V3H5c-1.11 0-2 .9-2 2v14c0 1.1.89 2 2 2h14c1.1 0 2-.9 2-2v-7h-2v7zM14 3v2h3.59l-9.83 9.83 1.41 1.41L19 6.41V10h2V3h-7z"/></svg>
</a>
</div>
<div class="skill-category-card" style="border-top-color: var(--primary); display: flex; flex-direction: column;">
<div class="skill-cat-title" style="margin-bottom: 0.5rem;">
<svg viewBox="0 0 24 24" style="width: 24px; height: 24px; margin-right: 10px; fill: var(--primary);"><path d="M14 2H6c-1.1 0-1.99.9-1.99 2L4 20c0 1.1.9 2 2 2h12c1.1 0 2-.9 2-2V8l-6-6zm2 16H8v-2h8v2zm0-4H8v-2h8v2zm-3-5V3.5L18.5 9H13z"/></svg>
Applied Project
</div>
<p style="font-size: 0.95rem; color: var(--text-dark); font-weight: 600; margin-bottom: 0.2rem;">
Python Project for Data Science
</p>
<span style="font-size: 0.85rem; color: var(--text-light); margin-bottom: 1rem;">IBM / Coursera</span>
<a href="https://www.coursera.org/account/accomplishments/certificate/ZHEWMTAGKQME" target="_blank" style="margin-top: auto; font-size: 0.85rem; font-weight: 600; color: var(--accent); display: flex; align-items: center;">
View Credential <svg viewBox="0 0 24 24" style="width: 14px; height: 14px; margin-left: 4px; fill: currentColor;"><path d="M19 19H5V5h7V3H5c-1.11 0-2 .9-2 2v14c0 1.1.89 2 2 2h14c1.1 0 2-.9 2-2v-7h-2v7zM14 3v2h3.59l-9.83 9.83 1.41 1.41L19 6.41V10h2V3h-7z"/></svg>
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