ANURUDRA JENA

Intro

Hey There ! Hi...

I'm a data enthusiast with a knack for turning numbers into something magical. My portfolio showcases my work in DS, DA, AI, and ML; so feel free to dive in and see what I've cooked up.

And if you wanna drop me a line, hit me up on the "CONTACT" page. I'll hook you up with my social media handles and maybe even share a few behind-the-scenes secrets.

And hey, if you're feeling really brave, you can even check out my resume. But don't say I didn't warn you!
Happy Surfing...

P.S. You can click on images to go to project sites/repos.

Projects

Travel Package Price Predictor

> Conducted Regression analysis using regression models like Decision Tree Regressor, Linear Regression and Random Forest Regressor and evaluated them with respective metrics
> Conducted PCA for dimensionality reduction and utilized NLP to embed text columns using a specific pre-trained MiniLM model and generated a single feature vector for further analysis.
> Improved model performance and accuracy by transforming the normalized and scaled data after encoding newly created features post feature selection and data processing

Customer Segmentation-Unsupervised ML

> Had to analyze transactional data from a UK-based online retail business to optimize marketing and sales strategies.
> This project aims to analyze transactional data to gain insights into customer behavior, product performance, and temporal trends, providing actionable recommendations for business optimization.

Movie Recommender System; The classic ML Project

> This is the ultimate classic ML project for all ML enthusiasts. But to use the movie recommender system to filter out movies which I would like, I have created my custom dataset of movies from year 2013-2023, apart from IMDB's 1984-2013 dataset.
> Have used my proficiency in Web-Scraping tools to scrape the latest and updated movies along with their reviews and other information.
> The good'ol LSTM algorithm will recommend top 5 movies based on the input. If the recommender really works, I'll deploy it with good frontend features.

SW Airlines Co.: Airline Analysis Dashboard

> This project aims to analyze flight trends in terms of traffic, delays and cancellations.
> A visually appealing, self-intuitive, dynamic dashboard has been made which consists of overview, flight traffic analysis and time series analysis.

American Board of Hospital Medicine: Health Care Analysis Dashboard

> Project aims to leverage Power BI for a deep dive into the provided healthcare datasets.
> This task encompasses meticulous data cleaning and sophisticated data modeling, utilizing DAX for advanced analytics.
> This dashboard would serve as a tool to uncover and visualize important trends, such as the interplay between patient demographics and treatment outcomes, cost implications of various medical procedures, and overall hospital performance metrics.

AirBnb: Hotel Booking Analysis Dashboard

> This Analysis seeks to leverage Tableau Desktop/Tableau Public/PowerBI's visual analytics capabilities to uncover and illustrate the shared attributes, disparities, and distinctive patterns inherent to Airbnb's presence in these cities, thus elevating the depth and insightfulness of the study.
> Deployed a highly intuitive, fast and efficient dashboard using Tableau Public.

Superstore: Sales Analysis using SQL

> This is an analysis based on insights generated by using SQL on the famous Superstore dataset.
> This analysis sheds light on insights based on sales and profits, regional performance, product performance and customer segmentation.

Workforce Absenteeism: Cohort Analysis

> The analysis aims to uncover patterns in workforce callouts, identify frequent absentees, and suggest improvements for workforce management.
> Highlights include the predominance of unscheduled sick leave, disparities in job roles, and shift-wise absenteeism patterns.
> Leveraged proficiency along tools like Pandas and Numpy along with Matplotlib to wrangle the data and generate insights.

AirBnb: Hotel Booking Analysis "EDA"

> This Analysis seeks to improve data quality, identifying anomalies, and gaining valuable business insights. to uncover and illustrate the shared attributes, disparities, and distinctive patterns inherent to Airbnb's presence in these cities, thus elevating the depth and insightfulness of the study.
> EDA has been performed on the dataset and numerous business insights have been derived from it.

eBay: Business Case study to increase revenue

> This is a case study project for my internship. It includes Product dissection, revenue growth strategies and guesstimates for an e-commerce website.
> Strategies have been provided which will collectively contribute to significant revenue and profit growth, positioning eBay for long-term success.

About

A seasoned Software Engineer with a Master's degree in Machine Learning and Artificial Intelligence, I have honed my skills at Accenture within the dynamic Supply Chain domain. My proficiency in data analysis, visualization, and problem-solving has consistently yielded exceptional outcomes in my projects. Aspiring to transition into a Data Analyst role, I am a dedicated data science enthusiast who thrives in challenging environments demanding digital intelligence processing.

My expertise lies in harnessing advanced analytical techniques to extract actionable insights and inform strategic decision-making. With a solid foundation in software engineering principles and a deep understanding of machine learning algorithms, I am well-equipped to contribute meaningfully to any data-driven initiative. By the way, check out my awesome work.

Contact

• g-Mail
• Linkedin
• GitHub
• Instagram

Elements

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