sanio frederic

AI/ML Engineering Student

0+ yrs exp 80 · Excellent

About

Third-year Artificial Intelligence & Machine Learning engineering student at Acharya Institute of Technology with internship experience in Data Analytics and Machine Learning. Proficient in Python, SQL, Pandas, NumPy, Scikit-learn, PyTorch, Generative AI, REST APIs, PostgreSQL and Power BI, with hands-on experience building practical technology solutions. Experienced in data cleaning, exploratory analysis, machine-learning model development, recommendation systems, financial analytics and AI application development. Strong interest in solving real-world problems through machine learning, data-driven systems and practical software development.

Skills & Expertise (33)

Python Advanced

8.0/10

Years Exp

NumPy Advanced

8.0/10

Years Exp

Pandas Advanced

8.0/10

Years Exp

Machine Learning Intermediate

7.5/10

Years Exp

Data Preprocessing Intermediate

7.5/10

Years Exp

Data Cleaning Intermediate

7.5/10

Years Exp

Google Colab Intermediate

7.0/10

Years Exp

Jupyter Intermediate

7.0/10

Years Exp

VS Code Intermediate

7.0/10

Years Exp

Random Forest Intermediate

7.0/10

Years Exp

Feature Engineering Intermediate

7.0/10

Years Exp

SQL Intermediate

6.5/10

Years Exp

GitHub Intermediate

6.5/10

Years Exp

Git Intermediate

6.5/10

Years Exp

REST APIs Beginner

6.0/10

MySql Beginner

6.0/10

Postgresql Beginner

6.0/10

Generative AI Beginner

6.0/10

PyTorch Beginner

6.0/10

FastAPI Beginner

5.5/10

Django Beginner

5.5/10

Power BI Beginner

5.0/10

DAX Beginner

5.0/10

Power Query Beginner

5.0/10

EDA Seaborn LLMs Django Rest Framework Matplotlib Model Evaluation Classification JavaScript AI Agents

Work Experience

Machine Learning Intern

Cognifyz

Aug 2023 - Sep 2023

Worked on practical machine-learning tasks involving data preprocessing, feature engineering and model development. Applied Python and machine-learning concepts to internship problem statements and evaluated model outputs.

Data Analyst Intern

Bold Analytics

Jul 2023 - Aug 2023

Cleaned, preprocessed and explored data using Python for analytics and machine-learning tasks. Built a restaurant recommendation system using cuisine, city, price range, rating and popularity signals. Developed and evaluated a Random Forest cuisine-classification model using Pandas, NumPy and Scikit-learn.