Enthusiastic Machine Learning Engineer with a strong foundation in Python, data preprocessing, and model development. Proficient in using libraries like TensorFlow, Scikit-learn, and Pandas for building and optimizing machine learning models. Skilled in EDA, model evaluation, and deploying solutions to production environments. Eager to apply technical knowledge to solve real-world problems.

Lokesh477

Enthusiastic Machine Learning Engineer with a strong foundation in Python, data preprocessing, and model development. Proficient in using libraries like TensorFlow, Scikit-learn, and Pandas for building and optimizing machine learning models. Skilled in EDA, model evaluation, and deploying solutions to production environments. Eager to apply technical knowledge to solve real-world problems.

Available to hire

Enthusiastic Machine Learning Engineer with a strong foundation in Python, data preprocessing, and model development. Proficient in using
libraries like TensorFlow, Scikit-learn, and Pandas for building and optimizing machine learning models. Skilled in EDA, model evaluation, and
deploying solutions to production environments. Eager to apply technical knowledge to solve real-world problems.

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Skills

Da
Data Visualization
Python
Da
Data Science
AI
AI Data Labelling
Da
Databread

Experience Level

Data Visualization
Expert
Python
Expert
Data Science
Expert
AI Data Labelling
Intermediate
Databread
Intermediate

Language

English
Advanced
Hindi
Fluent

Education

Masters of Computer Application at Panipat Institute of Engineering and Technology
August 2, 2021 - July 28, 2023
Bachelors of Computer Application at NC College of ENgineering and Technology
August 1, 2018 - July 30, 2021

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet
    uniE613 Sales Analysis Project
    A Python-based sales analysis project for an Australian clothing brand, focused on analyzing quarterly sales data to identify high and low revenue states. The project involved data wrangling, visualization, and generating insights for sales strategies using Pandas, NumPy, and Seaborn. The results were presented through a dashboard with key metrics to guide investment decisions.