CHANDRU VISWANATHAN

Bengaluru

Summary

A highly motivated Data Science Engineer with a strong background in machine learning, statistical analysis, and programming. Seeking a challenging role where technical skills can be leveraged to drive data-driven solutions and contribute to the development of innovative projects. Analytical Machine Learning Engineer offering progressive career in the field. Exceptional problem-solving abilities both in team-oriented and self-motivated settings. Dedicated to delivering product excellence and exceeding customer expectations.

Overview

year of professional experience

Certification

Work History

Computer Vision engineer

Senso Vision

08.2024 - Current

Develop, optimize, analyze and evaluate OpenCV/Deep Learning models based on accuracy and latency requirements for the application
Develop and optimize OpenCV inspection modules in framework
Annotate and train semantic-segmentation/object-detection models using Deep Learning framework, and implement any new state-of-the-art models to be added to framework
Research and develop computer vision libraries/frameworks optimal for deployment on embedded systems like Raspberry PI / NVIDIA Jetson Nano

Education

Post Graduate Certificate Program - Data Science Engineering

Great Lakes Institute of Management

Chennai, India

04.2024

Bachelor of Technology - Information Technology, B. Tech IT

Vels Institute of Science Technology and advanced Science

Chennai, India

05.2021

Skills

Python
MySQL
Scikit-Learn
Pandas
NumPy
Matplotlib
Scipy
NLTK
NLP
Seaborn

Statistics
Regression
Classification
Clustering
Problem solving
Critical thinking
Adaptability
Communication
Supervised learning
Data science

Websites

Certification

Natural Language Processing - Great Learning
SQL - HackerRank (advanced)
Python – HackerRank
Introduction to Artificial Intelligence - Great Learning
Introduction to Neural Networks and Deep Learning - Great Learning
Recommendation systems Machine Learning - Boss Coder Academy

Projects

Optimal IPL Match Bidding App Performance and User Engagement, DBMS, MySQL, 10/23,

Optimizing the IPL Match Bidding App. Conducted a meticulous analysis of IPL game data, aiming to extract valuable & actionable insights that can be leveraged to enhance user engagement, and elevate the overall user experience & satisfaction.

Predictive Analytics for Telecom Industry Churn Prediction, Classification, 03/24,

Python, Scikit-Learn, Matplotlib, Seaborn, Statistical Analysis, SMOTE, Machine Learning Algorithms for Classification, Streamlit, The primary goal of this project is to accurately predict which users are likely to churn based on the provided dataset. Conducted thorough cleaning and preprocessing of the dataset to ensure data quality and relevance. Addressed missing values, handled outliers, and performed feature engineering to enhance the dataset's predictive power. Developed multiple classification models, evaluated models using appropriate metrics, and developed a streamlit application to provide a user-friendly interface for accessing the model and making predictions.

Timeline