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Saikumar
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Hey, My name is Saikumar

Proficient in leveraging advanced statistical techniques and data visualization tools to extract valuable insights from complex datasets, driving informed decision-making and strategic initiatives.

Projects

About Me Here you will find more information about me, what I do, and my current skills mostly in terms of programming and technology.

Get to know me!

Hey! It's Saikumar, a Data Analyst located in Overland Park, KS. With 3+ years of experience, I've analyzed data for diverse projects, honing my skills in Python, Java, and C programming. Passionate about unlocking insights and driving decision-making, I thrive on collaborating with teams to deliver impactful solutions. Feel free to reach out!

I'm a data enthusiast with a keen eye for digital products. Having explored countless web and mobile apps across various industries, I bring a rich understanding of user experience and functionality. Feel free to contact me here.

Contact

My Skills

Python
SQL
Power BI
Tableau
SSRS
JavaScript
React
Deep Learning
GIT
Java
CSS
AWS
Snowflake

Projects Here you will find some of the personal and clients projects that I created with each project containing its own case study.

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Data Professional Survey Power BI

Data Professional survey - Power BI This project utilized a survey dataset collected from around 700 professionals to analyze different aspects of their work life. The dataset includes information on job titles, career transitions, salary, industry, programming preferences, job satisfaction, work-life balance, and more.

Case Study
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Data Exploration using SQL

I analyzed real-time COVID-19 data using SQL to explore trends in cases, deaths, and vaccinations worldwide. By filtering and grouping data, I identified key metrics such as mortality rates, infection rates, and vaccination progress. The project showcases my skills in data manipulation, analysis, and visualization using Tableau.

Case Study
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Insurance Analysis Power BI

This Power BI project involved the analysis of a dataset consisting of 1000 individual claims. The primary focus of the project was to explore insurance data and claim incidents, providing insights into the characteristics of the claims, the insured individuals, and the incidents themselves. The data was organized into four main categories: the insured person, policy details, incident description, and vehicle characteristics.

Case Study
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Data Cleaning on Housing dataset using SQL

In this data cleaning project using SQL, I optimized the Housing dataset by standardizing date formats, filling in missing property addresses, breaking out complex addresses into separate columns, and converting binary fields to more descriptive values. Additionally, I removed duplicates and unused columns to streamline the data and improve its quality for further analysis.

Case Study
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Visualizing Covid-19 Data using Tableau

In my Tableau project titled "Covid Data Visualization," I used real-time COVID-19 data to create interactive dashboards and charts. These visualizations provide insights into the pandemic's impact worldwide, showcasing trends in infection rates, mortality rates, and vaccination progress across different regions.

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Data Cleaning on World layoffs using MySQL

This project involved meticulous data cleaning and standardization of the World_layoffs dataset using advanced SQL techniques. Key steps included creating a staging table, removing duplicates with window functions, standardizing data entries, handling null values with self-joins, and formatting date columns. These operations ensured data consistency and integrity. This work demonstrated high SQL proficiency and the ability to prepare complex datasets for accurate analysis.

Case Study
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Exploratory Data Analysis on World layoffs using MySQL

This project involved a comprehensive Exploratory Data Analysis (EDA) of the World_layoffs dataset using advanced SQL techniques. Initial data exploration was followed by aggregations to uncover key statistics and trends, such as major layoff events and industry-specific impacts. Common Table Expressions (CTEs) were utilized for advanced analysis, including yearly layoffs by company and rolling totals. This EDA provided significant insights, demonstrating my SQL proficiency and ability to extract actionable intelligence from complex data.

Case Study

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