-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathindex.html
51 lines (47 loc) · 2.25 KB
/
index.html
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
---
layout: splash
permalink: /
hidden: true
title: "Pavitra Prabhu - Data Scientist"
header:
overlay_color: "#5e616c"
overlay_image: /img/Teaser/ai5.jpg
actions:
- label: "<i class='fas fa-envelope'></i> Contact me!"
url: "mailto: [email protected]"
excerpt: Data scientist with domain expertise in Banking and Finance. Experience in statistical learning theory, natural language processing, predictive analytics, data modeling, data science, machine learning and data visualization.
feature_row:
-
title: "Learn with me"
excerpt: "Detailed technical notes on analytics, machine learning, visualization and more.."
url: "/learning/"
btn_class: "btn--primary"
btn_label: "Learn more"
-
title: "Check out my profile"
excerpt: "See some fun projects I've worked on"
url: "/projects/"
btn_class: "btn--primary"
btn_label: "Learn more"
-
title: "Get to know me"
excerpt: ""
url: "/about/"
btn_class: "btn--primary"
btn_label: "Learn more"
---
<h2> Hi, I'm Pavitra Prabhu, and analyzing data is my <strong>passion</strong> and my <strong>profession</strong>.</h2>
<h3>I am delighted to:</h3>
<ol>
<li> Assist customers by being able to deliver a ML project from beginning to end</li>
<li> Turn data into meaningful and actionable insights </li>
<li> Research and implement novel ML approaches</li>
<li> Diving into data to discover hidden patterns, using data visualization tools, writing SQL, and working with teams to develop models</li>
<li> Building data science pipelines from identifying information source to post implementation monitoring</li>
<li> Writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations</li>
</ol>
<h3>I solve data problems by:</h3>
<p> ▪ Identifying Information Source ▪ Collecting and Storing data ▪ Wrangling data ▪ Exploring data ▪ Cleaning it up ▪ Processing data ▪ Performing Analytics ▪ Performing Machine Learning ▪ Understanding the Statistics ▪ Communicating Insights using Visualizations and Dashboards ▪ Engaging others ▪ Building User Interfaces ▪ Communicating often ▪ Rinse & Repeat.
</p>
<hr>
{% include feature_row %}