Name: Ishan Chaurasia
Profile: Data Analyst
Email: ishan_chaurasia@outlook.com
Phone: +91-9956116731
Skills
MS ExcelAbout me
My academic background is diverse, as I hold a Bachelor of Commerce and a Master of Social Work degree. However, in 2022, I developed a keen interest in data and decided to pursue a career in Data Analytics. I have acquired proficiency in various tools and technologies, such as MS Excel, Power BI, Looker Studio, SQL, Python, and Power Automate. These skills enable me to convert data into meaningful insights.
Beyond the world of data, I wear many hats. I'm an ardent Formula 1 enthusiast, cheering for the legendary Lewis Hamilton and the formidable Mercedes F1 team. Tennis, especially the Roland Garros Grand Slam, also holds a special place in my heart. Reading is another cherished pastime, and you'll often find me engrossed in a good book. My curiosity knows no bounds, as I love exploring different cultures, traditions, and societies through vlogs from around the world.
My professional mission is simple: to provide you with the best information and resources to help you achieve your goals. I want you to know that I'm not just a Data Analyst but also a reliable, friendly, and knowledgeable assistant who's here to assist you with various tasks and queries.
Services
Things I love to do.
Data Collection
Data collection is a crucial step in data analysis. It’s the act of accumulating relevant data from a variety of sources, which could range from databases and spreadsheets to social media platforms.
Data Cleaning
Once you have the data, it’s important to clean and preprocess it. This could involve handling missing values, removing duplicates, dealing with outliers, etc.
Data Exploration
This step involves understanding the data and its characteristics. You might use descriptive statistics and visualization techniques to understand the distribution and relationship between variables.
Data Modelling
Here you apply statistical or machine learning models to your data to answer your research questions or make predictions. This could involve regression analysis, classification, clustering, time series analysis, etc.
Evaluation
After building your model or conducting your analysis, it’s important to evaluate the results. This could involve checking the accuracy of a machine learning model or the goodness of fit of a statistical model.
Data Storytelling
After building your model or conducting your analysis, it’s important to evaluate the results. This could involve checking the accuracy of a machine learning model or the goodness of fit of a statistical model.
Blog
Sharing Stories that Connect
Data Quality
Data’s Decisive Edge: Elevating Business Choices with Quality Insights
In today’s data-driven world, the quality of data plays a crucial role in shaping business decisions. From strategic planning to operational execution, organizations rely heavily on data to drive their decision-making processes.
Artificial Intelligence
How Explainable AI (XAI) Illuminates the Future of Machine Learning
Artificial intelligence (AI) has become an integral part of our daily existence, influencing a myriad of activities from the custom suggestions on our favourite streaming services to the sophisticated algorithms steering self-driving cars.
Predictive Analysis
Predictive Analytics: Shaping the Future of Decision-Making
In today’s fast-paced business landscape, staying ahead of the curve is essential. As we look into the future of predictive analytics, it becomes evident that this technology is not only here to stay but will also play a pivotal role in shaping various industries.