Data Science Portfolio - Udaykiran Estari

This Portfolio is a compilation of all the Data Science and Data Analysis projects I have done for academic, self-learning and hobby purposes. This portfolio also contains my Achievements, skills, and certificates. It is updated on a regular basis.

Email: [email protected]
LinkedIn: linkedin.com/UdaykiranEstari
Tableau: tableau.com/UdaykiranEstari

Achievements

Recipient of Best Student Award for Outstanding overall performance by securing 9.5 SGPA in 5 Consecutive semesters.
Recipient of FFE Scholarship and Fee Waiver for excellent academic performance (98.5%).
Winner of the 61st National SGFI Competition, securing first place in the Individual and Team championship categories.

Projects

Real-time CO2 Emissions Forecasting with Time Series Models

In this project, I have extracted data of real-time CO2 emissions using an API, cleaned and preprocessed the data, and built various time series models including AR, ARIMA, SARIMA, and LSTM. The repository also includes the necessary scripts for analyzing the models and selecting the best-performing ones. Finally, the selected model is used for forecasting CO2 emissions for the next 10 years.

COVID-19 UK Tracker: Interactive Graphical User Interface

In this Project, I developed a COVID-19 UK Cases GUI using Tkinter in Python. It offers real-time data updates, interactive graphs, date selection via a calendar widget, and a convenient place comparison feature. This user-friendly interface provides up-to-date COVID-19 information, interactive visuals, and the ability to focus on specific dates or regions for analysis.

Unlocking App Success: A Data-Driven Journey with SQL on Apple Store Apps

I leveraged SQL to uncover valuable insights for app developers. From the advantages of paid apps and language support optimization to pinpointing lower-rated app categories, Examined the role of app descriptions in user ratings and provided a benchmark for new apps looking to stand out in a competitive market. I addressed the competitive games and entertainment genres, revealing a path to success through unique value and quality.

AdOptimize: Instagram A/B Testing for Sales and Traffic Boost

This Git repository focuses on A/B testing of Instagram ad campaigns to optimize sales and drive traffic. The goal is to maximize the effectiveness of your advertising efforts on Instagram by experimenting with different variations and strategies.

Core Competencies

Methodologies: Machine Learning, Deep Learning, Time Series Analysis, Natural Language Processing, Statistics, A/B Testing and Experimentation Design, Big Data Analytics
Languages: Python (Pandas, Numpy, Scikit-Learn, Scipy, Keras, Matplotlib), R (Dplyr, Tidyr, Caret, Ggplot2), SQL
Tools: MySQL, Tableau, Git, PySpark, Amazon Web Services (AWS), Flask, MS Excel

Certificates

Udaykiran Estari's Projects

adoptimize-instagram-a-b-testing

AdOptimize is your ultimate solution for Instagram A/B testing, boosting sales, and driving traffic. With a tailored framework, analyze ad variations, targeting, and strategies. Make data-driven decisions, optimize budgets, and unlock the true potential of your campaigns. Maximize impact, engage your audience, and achieve higher conversions.

cleaning-wrangling-surveymonkey

Data Cleaning and Data Wrangling of Horizontal database into Vertical database

covid19-uk-gui-tkinter

Covid-19 UK Cases GUI is a Python-based application that provides a user-friendly interface to track and visualize the latest Covid-19 cases in the United Kingdom. It features real-time data, interactive graphs, and allows users to compare cases between different areas. Stay informed about the Covid-19 situation in the UK with this intuitive GUI.

datapreparation-experimental

Python-based data cleaning and wrangling project showcasing preprocessing steps. Handles missing values, transforms data, removes duplicates, treats outliers, and performs feature engineering for enhanced analysis. Validates data quality and consistency. Dataset from YouTube channel. Size: 76,378 rows, 9 columns.

deoldify

A Deep Learning based project for colorizing and restoring old images (and video!)

excel-skills-for-business

Excel Skills for Business by Macquarie University

mastering-tableau-2023-fourth-edition

Code Repository for Mastering Tableau 2023 Fourth Edition Published by Packt

practical-sql-dataanalysis-applestore-app-analytics

"Apple Store App Analytics: A Practical SQL Data Analysis" provides real-world insights into app categories, pricing, and user ratings. Exploratory Data Analysis, Insights of paid vs. free app impacts, language support, and app description length in correlation with user rating.

real-time-co2-emissions-forecasting

Real-time CO2 emissions data extraction, cleaning, preprocessing, and time series modeling (AR, ARIMA, SARIMA, LSTM). Analyze, select best model, and forecast CO2 emissions for 10 years. Comprehensive guide for CO2 forecasting using time series modeling.

superstoredashboard

The "Superstore Dashboard Recreation" project is an ambitious endeavor to recreate the Superstore Dashboard originally found in Tableau. This recreated dashboard offers an alternative perspective and visualization of data, tailored to specific requirements and insights.

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