Internship At Oasis InfoByte
Pranay Kuthe
Data Analyst Intern at OasisInfoByte | Ex - Cognizant | Microsoft Certified: Power BI Data Analyst Associate | Python | Data Science | SQL | Machine Learning
I am delighted to announce the successful completion of my month-long virtual internship with Oasis Infobyte. This enriching experience has significantly contributed to my development in the field of Data Analytics, equipping me with a diverse range of tasks to enhance my skills.
Task 1: EDA on Retail Sales Data
Our first challenge revolved around ensuring the integrity of our data. We began by focusing on Data Integrity, aiming for accuracy, consistency, and reliability. Next, we tackled Missing Data Handling, addressing gaps in our information to ensure completeness. Duplicate Removal was essential to maintain data uniqueness, followed by standardization to ensure a consistent format for analysis. Additionally, we identified and addressed outliers that could impact our analysis.
Here’s the link to my work - EDA on Retail Sales
Task 2: Predicting House Prices
Beginning with Data Collection, we curated the necessary ingredients for our prediction model. Data Exploration and Cleaning led us to select optimal features for our model through Feature Selection. Leveraging Linear Regression, we unleashed the power of machine learning. Model Evaluation provided validation, and Visualization enhanced our understanding of predicted and actual values.
Here’s the link to my work - Predicting House Prices
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Task 3: Wine Quality Prediction
The focus is on predicting the quality of wine based on its chemical characteristics, offering a real-world application of machine learning in the context of viticulture. The dataset encompasses diverse chemical attributes, including density and acidity, which serve as the features for three distinct classifier models.
Here’s the link to my work - Wine Quality Prediction
Task 4: Customer Segmentation Analysis
The aim of this data analytics project is to perform customer segmentation analysis for an e-commerce company. By analyzing customer behavior and purchase patterns, the goal is to group customers into distinct segments. This segmentation can inform targeted marketing strategies, improve customer satisfaction, and enhance overall business strategies.
Here’s the link to my work - Customer Segmentation Analysis
This internship was a transformative experience, fostering creative thinking and enhancing my skills in web development. I extend my heartfelt gratitude to Oasis Infobyte for this invaluable opportunity. I am thrilled to apply these newfound skills and insights to my future projects.
For a glimpse into my coding journey, visit my GitHub repository: Github Repoistory. To learn more about Oasis Infobyte, explore their website for insights and information.
In summary, this internship was a rewarding learning adventure, and I am eager to leverage my newfound skills in future endeavors. Many thanks to Oasis Infobyte for this opportunity.
Website :- https://oasisinfobyte.com/
Passionate Data Science & AI Enthusiast | Proficient in Full Stack Data Analysis, Machine Learning & Deep Learning | Eager to Transform Data into Actionable Insights.
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