Hey, I’m Adinanda
Data Scientist, Data Analyst , and Storyteller of Numbers. Probability Enthusiast, and Curious Thinker with a love for decoding complex data into meaningful insights.
Working with my mind and hands to find clarity in complexity. ExploreMy Projects,
Articles,Resume, or
Contact Meto see how data can make a difference.
Transforming Data Into Insights: Projects
Retail Sales
Utilizing SQL, the project analyzes retail sales data to reveal insights into sales performance, customer demographics, and transaction patterns
Blinkit Analysis
The project focuses on developing a Power BI dashboard to analyze Blinkit's sales performance, customer satisfaction, and inventory distribution. The goal is to uncover key insights and identify opportunities for optimization using diverse KPIs and visualizations.
Bike Sales
The project entails designing an interactive dashboard in Microsoft Excel to analyze bike sales data, offering insights into customer purchasing behavior across different demographics and preferences
Coffee Sales
An Excel-based dashboard has been designed in this project to analyze and visualize coffee sales data. It provides insights into sales performance, customer trends, and coffee types across different regions while leveraging advanced Excel functions to streamline data analysis.
Exploring salary trends in data science career
Focusing on trends in the data science job market, this project examines salary distribution. It utilizes comprehensive visualizations and data analysis techniques to uncover the impact of employment type, work model, experience level, and company size on salaries in data science careers.
Employee Experience Survey
The goal of this project was to analyze employee feedback, identify areas of strength, and highlight opportunities for improvement. The survey data covered various dimensions, such as Job Satisfaction, Work-Life Balance, Team Collaboration, and Compensation Satisfaction, measured using Likert scales.
Netfilx Dashboard
A Netflix dashboard has been created in Tableau for this project, offering insights and analysis into Netflix's content library, viewership trends, and user preferences.It features an interactive interface for exploring various aspects of Netflix's data
HR attrition prediction Analytics
Employee attrition, where employees voluntarily leave an organization, presents substantial challenges that affect productivity, continuity, and overall business performance. This project aims to analyze employee attrition patterns, identify key factors influencing turnover, and provide actionable insights to help organizations reduce attrition and improve retention strategies
Detecting fraudulent transactions
The project focuses on building an optimized model to detect fraudulent transactions by analyzing data, identifying fraud patterns, and improving accuracy while minimizing false positives and addressing class imbalances.
Credit Score Classification
The goal of this project is to develop a machine learning model that classifies credit scores based on an individual's credit-related information, helping to categorize individuals into different credit score brackets and streamline the process, reducing manual efforts.
About Me
Hi, I’m Adinanda T K, Naturally curious and driven by a love for problem-solving, I thrive on exploring new challenges and turning data into actionable insights.
My work typically involves advanced analytics, creating interactive dashboards with tools like Power BI and Tableau, data wrangling using SQL and Python, and building machine learning models to predict and improve outcomes. Sharing knowledge is something I value deeply—I enjoy collaborating, and learning from others in the data community.
I discovered my passion for analytics through my love for math, coding, and logic, which I’ve built on over the years by honing my skills in machine learning, visualization, and business intelligence tools.
Now, I’m excited to grow in the data analytics field and make an impact by delivering insights that drive better decisions. Feel free to connect with me to collaborate or share ideas! machine learning, visualization, and business intelligence tools.
My Skills
Languages : Python , HTML , CSS
Libraries : Pandas , Numpy , Matplotlib , Seaborn , Scikit-learn ,Keras
Tools : Power BI, MS Excel, PowerPoint, Tableau, MySQL, SQLite
Statistical Methods: Hypothesis Testing, Descriptive Statistics, Regression Analysis, Trend Analysis
Platforms: PyCharm, Jupyter Notebook, Visual Studio Code
Soft Skills: Analytical Thinking, Adaptability, Creativity, Excellent communication
Expertise: Data Analytics, Data Visualization, Machine Learning, Predictive Analytics
Education
Certifications