About
Hi, I'm Pradipta 👋 📊 I like working with data and figuring out what it's trying to tell us. I recently graduated in Computer Science Engineering with a specialization in Data Science, and I've spent the last couple of years building hands-on experience in data analysis, business intelligence, machine learning, and cloud-based data workflows. 💡 What I enjoy most is going beyond the numbers to understand the "why" — and turning that into something useful, whether that's a dashboard, a report, or a working model. 🛠️ What I work with: Python, SQL, Pandas, NumPy, Scikit-learn, Power BI, Tableau, Advanced Excel, and AWS. I'm comfortable handling the full process — cleaning data, exploring it, visualizing it, building models, and even automating pipelines. 💼 Where I've applied this: As a Data Science & Analytics Intern at ZIDIO Development and a Data Science Trainee at Codes on Bytes, I worked with real datasets — cleaning and analyzing them, running exploratory analysis, and applying machine learning techniques to spot patterns and generate insights. 🔨 Projects I'm proud of: 📈 Analyzed 3,900+ customer transactions and built a Power BI dashboard to highlight subscription trends and revenue drivers 🚗 Built a car price prediction model using linear regression on 10,000+ records, and deployed it as a working web app 🍽️ Used MySQL to analyze 12,000+ restaurant orders and identify top-selling items and revenue trends ☁️ Built an automated AWS pipeline (S3, Lambda, Glue, Athena) to process and clean incoming data I believe the best way to really learn data is by building things with it, and these projects reflect that. 🎯 What I'm looking for: I'm open to entry-level roles in Data Analytics, Data Science, Business Intelligence, or Data Engineering. If you're hiring, or just want to talk about data and technology, I'd genuinely enjoy the conversation — feel free to reach out. 📩 Data Analyst | Data Science | Business Intelligence | Python | SQL | Power BI | Machine Learning | AWS
Work experience
Data Science & Analytics Intern at Zidio Development, Aug 2024 - Nov 2024 · 4 mos, Remote, • Loaded and preprocessed structured datasets using Pandas — handling missing values, duplicates, and inconsistent data types to ensure analysis-ready quality. • Performed exploratory data analysis and created visualizations (Matplotlib, Seaborn) to identify trends,distributions, and outliers across key variables. • Built and evaluated regression models using Scikit-learn to predict target outcomes, assessing performance via R² and RMSE metrics.
Data Science Intern at CodesOnBytes, Sep 2023 - Oct 2023 · 2 mos, Remote
