Swati Kosta

Aspiring Machine Learning Engineer

Ahmedabad, Gujarat 0+ yrs exp 81 · Excellent

About

Aspiring Machine Learning Engineer with strong foundations in Python programming, data analysis, and model development. Skilled in building and deploying predictive models for real-world applications. Skilled in experiment tracking with MLflow and committed to building reproducible, scalable solutions. Seeking to contribute technical knowledge and problem-solving skills to drive impactful, data-driven projects in a forward-thinking organization.

Skills & Expertise (16)

Python Advanced

6.5/10

Years Exp

Matplotlib Intermediate

5.5/10

Years Exp

NumPy Intermediate

5.5/10

Years Exp

Pandas Intermediate

5.5/10

Years Exp

BeautifulSoup Intermediate

5.5/10

Years Exp

Scrapy Intermediate

5.5/10

Years Exp

Selenium Intermediate

5.5/10

Years Exp

Django Intermediate

5.5/10

Years Exp

MySql Intermediate

5.5/10

Years Exp

Postgresql Intermediate

5.5/10

Years Exp

MongoDb Intermediate

5.5/10

Years Exp

Regression Intermediate

5.5/10

Years Exp

Classification Intermediate

5.5/10

Years Exp

Clustering Intermediate

5.5/10

Years Exp

NLP Intermediate

5.5/10

Years Exp

MLflow Beginner

4.5/10

Years Exp

Work Experience

MLengineer • Internship

Brainy beam infotech

Aug 2026 - Present

ML INTERN

Machine Learning Engineer Intern

saiket system

Apr 2026 - May 2026

Design & Develop ML Systems → Build and optimize machine learning and deep learning models. Data Handling → Collect, clean, preprocess, and analyze structured/unstructured datasets. Algorithm Implementation → Select and apply appropriate ML algorithms (regression, classification, clustering, NLP, etc.). Experimentation & Testing → Run experiments, tune hyperparameters, and validate models.

python developer

codeveda technonogy

Mar 2025 - Apr 2025

Design and implement web scraping scripts using Python libraries such as BeautifulSoup, Scrapy, and Selenium. Automate data extraction from websites, APIs, and online platforms for analytics and machine learning pipelines. Implement data cleaning and preprocessing workflows to ensure high-quality datasets.