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Paramesh babu Banda

Paramesh babu Banda

Aspiring Data Scientist

Hyderabad
80
Profile Score

About

Aspiring Data Scientist with a strong foundation in Statistics, Machine Learning, and Deep Learning. Experienced in building end-to-end projects such as Customer Churn Prediction with 85% accuracy, involving data collection, preprocessing, model training, and deployment using Flask. Skilled in Python, SQL, TensorFlow, Scikit-learn, Pandas, NumPy, and Power BI. Passionate about applying advanced analytics and AI techniques to solve complex business problems and deliver data-driven solutions.

Skills & Expertise (27)

Python Advanced
8.2/10
1
Years Exp
scikit-learn Intermediate
7.6/10
1
Years Exp
SQL Intermediate
7.4/10
1
Years Exp
Pandas Intermediate
7.4/10
1
Years Exp
Flask (API Deployment) Intermediate
7.2/10
1
Years Exp
Team Collaboration Communication Problem-solving VS Code GitHub Google Colab Jupyter Notebook Predictive Analytics Data Preprocessing Feature Engineering Neural Networks Keras TensorFlow Model Evaluation & Tuning Gradient Boosting Logistic Regression Random Forest Seaborn Matplotlib NumPy Power BI Excel

Work Experience

Data Analytics Intern

Cognifyz Technologies

Sep 2024 - Sep 2024

Cleaned and transformed a dataset of 10,000+ restaurant records, ensuring accuracy and consistency for analysis. Performed EDA using Python (Pandas, NumPy, Matplotlib, Seaborn) to identify trends in pricing, ratings, and customer preferences. Built data visualizations (bar charts, scatter plots, heatmaps) that uncovered the correlation between price range and customer satisfaction, improving reporting accuracy by 20%. Automated data-cleaning workflows, reducing manual processing time by 30% and delivering actionable insights in a business-focused report.

Data Science Intern

CodTech IT Solutions

Apr 2025 - Apr 2025

Developed an end-to-end Sentiment Analysis application using Python, Scikit-learn, and Flask; trained a Multinomial Naive Bayes model with measurable accuracy and deployed it via a Flask web app for real-time predictions. Built a Student Management System with SQLite, Flask, and Python, implementing CRUD operations and integrating a web UI for managing student records dynamically. Applied data preprocessing, model training, and database integration, showcasing strong skills in machine learning, SQL, and deployment. Gained hands-on experience in full project lifecycles, from data processing and model building to deployment of interactive web-based solutions.

Education

Bachelor of Science in Statistics - Rayalaseema University, Kurnool

2019 - 2023 · Afghanistan

Intermediate (MPC) - AP Model School Government Junior College, Krishna Giri

2017 - 2019 · Afghanistan

SSC (10th) - AP Model School, Krishna Giri

2016 - 2017 · Afghanistan

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Profile Score Breakdown

📷 Photo 10/10
📄 Resume 10/10
💼 Job Title 10/10
✍️ Bio 10/10
🛠️ Skills 20/20
🎓 Education 10/10
⏱️ Experience 5/15
💰 Rate 0/5
🏆 Certs 0/5
Verified 5/5
Total Score 80/100

Profile Overview

Member sinceMar 2026

Availability Details

Visa Status

Citizen

Relocation

Depends on Offer

Skills (27)

Python scikit-learn SQL Pandas Flask (API Deployment) Team Collaboration Communication Problem-solving VS Code GitHub +17 more