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@Rindhujatreesa
Rindhujatreesa committed Jul 3, 2024
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82 changes: 69 additions & 13 deletions index.html
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<body>
<div id="name">
<div class="intro">
<b><i>Hello! I'm Rindhuja Treesa Johnson</i></b>
<p>A passionate and results-driven Data Scientist pursuing a Master's in Data Science at the University of Maryland Baltimore County,
expecting to graduate in May 2024. Master's degree in Physics <br><a href="https://www.phikappaphi.org/">Phi Kappa Phi Honor Society Member</a> <br>Technical Writer<a href="https://medium.com/@rindhuj1">@Medium</a></p>
<b><i>RINDHUJA TREESA JOHNSON</i></b>
<p>Passionate and result-driven Data Scientist <br> MPS in Data Science from UMBC, M.Sc. in Physics from Pondicherry University<br><a href="https://www.phikappaphi.org/">Phi Kappa Phi Honor Society Member</a> <br>Data Writer <a href="https://medium.com/@rindhuj1">@Medium</a></p>
</div>
</div>
<div id="header">
Expand Down Expand Up @@ -72,7 +71,8 @@ <h1 class="sub-title">My Journey</h1>
<li><span>Big Data handling</span><br>Apache Spark, HDFS, Databricks, AWS</li>
<li><span>Softwares</span><br>MS Power BI, MS Excel, VS Code, Git & GitHub, OpenStreetMap, LTSpice, NOAA Ferret </li>
<li><span>Operating Systems</span><br>Windows OS, macOS, Linux</li>
<li><span>Others</span><br>Data Analysis - ETL, EDA, Machine Learning, LLM. AI, Data Visualization, Physics, Mathematics, Statistics, Electronics</li>
<li><span>Expertise</span><br>Data Analysis - ETL, EDA, Machine Learning, LLM, AI, Data Visualization, Database Management, Financial Analysis,
Business Intelligence, Deep Learning, Research, Data Reporting, Technical Writing, Physics, Mathematics, Statistics, Electronics</li>
</ul>
</div>
<div class="tab-skill-content" id="manage" >
Expand Down Expand Up @@ -110,20 +110,43 @@ <h1 class="sub-title">My Journey</h1>
<div id="projects">
<h1 class="sub-title">My Projects</h1>
<div class="work-list">
<div class="work">
<img src="img/portfolio_dashboard.png">
<div class="layer">
<h3>Stock Portfolio Optimization and Dashboard Using Microsoft Excel</h3>
<p class="toggle-text">Investing in Stock Market can be a risky business if you do not research well and diversify the risk in the portfolio.
Every investor aims to bring down the chances of risk and increase the return as many folds as possible. <span class="dots">...</span>
<span class="more" style="display:none;">Portfolio Optimization is
the trick that could save your time and money. It maximizes the return of investment while keeping the risk at minimum by diversifying
the allocation of stocks in your portfolio. In this project, the optimization was done using the Data Analysis and Solver add-ins in MS Excel
and was compared by the Python SciPY optimization. Further, a dynamic dashboard representing the portfolio performances and distribution implementing PIVOT tables were designed which was connected to
MySQL database for auto-updation. The project could optimize your portfolio and then keep track of the transactions to analyze the profits and losses
in micro-scale and large-scale approaches.
</span>
<br><i><i class="fa-solid fa-laptop"></i> Data Analysis, Solver, Advanced MS Excel, ODBC, Data management
</i>
</p>
<button onclick="myFunction()" id="myBtn" class="btn">Read More</button>
<a href="https://github.com/Rindhujatreesa/exchange-rate-forecasting"><i class="fa-solid fa-arrow-up-right-from-square"></i></a>
</div>
</div>
<div class="work">
<img src="img/ind.png">
<div class="layer">
<h3>Foreign Exchange Rates Time Series Analysis and Forecasting</h3>
<p>Confused about which currency to invest in the coming year? Planning for a foreign trip sometime soon?
<p class="toggle-text">Confused about which currency to invest in the coming year? Planning for a foreign trip sometime soon?
The foreign exchange rates between two countries has a pivotal role in deciding your profit from investment
and the best value for your money during an international trip. The time series forecasting using three models -
and the best value for your money during an international trip.<span class="dots">...</span>
<span class="more" style="display:none;"> The time series forecasting using three models -
SARIMAX, SARIMA, and ARIMA - gives a glimpse of your financial future! The project analyzed, modeled, and forecasted
exchange rate ratios of US Dollars with five other currencies - Euro (EUR), UK Pound (GBP), Indian Rupees (INR), Chinese Yuan (CHY),
and Japanese Yen (JPY). It compared the accuracies of each model to determine the most reliable one. Also created an interactive
MS Power Bi Dashboard that shows the time-series - historical and forecasted - to analyze the information visually.
</span>
<br><i><i class="fa-solid fa-laptop"></i> SARIMAX, SARIMA, ARIMA, MS Power BI, Seasonal Decomposition
</i>
</p>
<button onclick="myFunction()" id="myBtn" class="btn">Read More</button>
<a href="https://github.com/Rindhujatreesa/exchange-rate-forecasting"><i class="fa-solid fa-arrow-up-right-from-square"></i></a>
</div>
</div>
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<img src="img/dashboard.png">
<div class="layer">
<h3>Customer Lifetime Value Prediction For Auto-Insurance Companies</h3>
<p>Customer lifetime value (CLV) is a business metric used to determine the amount of
<p class="toggle-text">Customer lifetime value (CLV) is a business metric used to determine the amount of
money customers will spend on your products or services over time. Each
customer insured using the company’s plan is a risk. We modeled a Random Forest Regressor with
91% accuracy to determine the CLV of an incoming customer so that the company can invest in them
91% accuracy <span class="dots">...</span>
<span class="more" style="display:none;">to determine the CLV of an incoming customer so that the company can invest in them
knowing the risk-level in advance. The interactive dashboard built using Power BI gives an insight
into customer behavior. Moreover, over Data Querying System developed using the Google's Gemini LLM
allows the retrieval of data from the database using human language. The LLM engine converts the questions into
SQL queries and extracts data for the non-technical staff in the company!
</span>
<br><i><i class="fa-solid fa-laptop"></i> ML models, Sci-Kit Learn, Seaborn, Keras, Langchain, LLM, Power BI
</i>
</p>
<button onclick="myFunction()" id="myBtn" class="btn">Read More</button>
<a href="https://github.com/Rindhujatreesa/Machine_Learning_Projects/tree/main/Malware%20Classification"><i class="fa-solid fa-arrow-up-right-from-square"></i></a>
</div>
</div>
<div class="work">
<img src="img/cancer.png">
<div class="layer">
<h3>Image Classification for Breast Cancer Detection</h3>
<p>This Deep Learning project gives the probability of a sample image being cancerous or benign. Cancer detection by analyzing the scan images of organs is still considered a manual skill. The inaccuracies that could result in wrong diagnosis is intolerable
<p class="toggle-text">This Deep Learning project gives the probability of a sample image being cancerous or benign. Cancer detection by analyzing the scan images of organs is still considered a manual skill.
The inaccuracies that could result in wrong diagnosis <span class="dots">...</span>
<span class="more" style="display:none;">is intolerable
in medical field. This project attempted to classify the sample images into different probability classes rather than stating benign or malignant. This could help
the practitioners get a secondary opinion on their judgement in a quantitative measure. It was implemented using 3 CNN, 3 Linear, 1 ReLU, 1 Sigmoid, and 1 Max Pooling layers.
<br><i><i class="fa-solid fa-laptop"></i> PyTorch, Sci-Kit Learn, OpenCV</i>
</span>
<br><i><i class="fa-solid fa-laptop"></i> PyTorch, Sci-Kit Learn, OpenCV, Image Classification</i>
</p>
<button onclick="myFunction()" id="myBtn" class="btn">Read More</button>
<a href="https://github.com/Rindhujatreesa/Deep_Learning_Projects/tree/main/Image_Classification_for_Detecting_Breast_cancer"><i class="fa-solid fa-arrow-up-right-from-square"></i></a>
</div>
</div>
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<div class="about-col-1">
<h1 class="sub-title">About Me</h1>
<p class="about-me">
Insightful Data Science graduate student with immense technical and human potential
Insightful Data Science graduate with immense technical and human potential
to bring the best in every situation. The prowess of mathematics and the curiosity of a Physicist
combined with the enthusiasm to work and maintain an organized and balanced
life keeps me on top of the game.
Before focusing on a Data Science career, I graduated from Pondicherry University,
India with a Master's in Physics. Yes, then why DS? Honestly, this is the question I have faced the most and
the hardest to answer! To begin with I realized the power of Data during my Undergraduate internship at Cochin
University of Science and Technology <a href="https://cusat.ac.in/">(CUSAT)</a>.
I got the opportunity to work <span id="dots">...</span><span id="more">with data on different weather parameters to understand the El-Nino Southern Oscillations
I got the opportunity to work <span class="dots">...</span>
<span class="more" style="display:none;">with data on different weather parameters to understand the El-Nino Southern Oscillations
and their effect on the Indian monsoon.<br> <br> This work inspired me to undertake new data analysis projects. In the final year of my first Master's degree,
I conducted an extensive data analysis on the Internet Infrastructure in India - pre and post-COVID-19. As a part of this project, I collected data from various open
sources in the form of CSV, JSON, and web scraping, did data cleaning, EDA, and data visualization. Moreover, I collected a set of primary data through a survey. In this process, I discovered numerous resources, platforms, technologies, and courses, and received professional certification from IBM in Data Science. I learned Python, SQL, and MS Excel during this project.<br><br> From then, I made sure that I kept up with my skills and decided to pursue a Master's in Data Science - to learn from the experts and to get more expertise in the new field. Throughout the current program, I undertook numerous <a href="#projects">projects</a> that helped me hone my technical and management skills. Today, I look forward to establishing a strong base in the field and offering the best from my expertise.
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</div>
</div>
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width: 100%;
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font-size: 200%;
font-size: 250%;
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nav{
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