CHANDAN M Phone: +91-911-***-****

Github: chandannaidu

Email:adbuad@r.postjobfree.com

Website:medium.com/@chandan_naidu

SUMMARY

Bachelor of Engineering in Computer Science from Bangalore, KS Institute of Technology. Graduated in the year 2019 with 1+ years of Experience in performing feature engineering, data visualization, model building and performance analysis using machine learning algorithms. Actively writing blogs and attending technical meetups. ACADEMICS

● B.TECH in computer science from KS Institute of Technology with 6.8 CGPA

● Intermediate in PCMC from Narayana PU College with 60.0 percentage

● 10TH from J.H.S English Medium School with 74.72 percentage TECHNICAL SKILLS

Skill sets and Technologies: Python, SQL, C/C++

Statistics : Descriptive Statistics, Inferential Statistics, ANOVA

, Hypothesis testing, Feature Engineering

Machine Learning : CART, Random Forest, Linear Regression

, Logistic Regression, K-means, Hierarchical Clustering

, SVM, Bayes Algorithm, PCA, Time Series Forecasting Packages and Libraries : Tensorflow, Keras, Pandas, Numpy, Sklearn, Seaborn, Matplotlib

Analytical Tools : Tableau

Operating System : UNIX, Windows7/8

INTERNSHIP

Company: CITY SURVEILLANCE SERVICES Private Limited. Duration: 2 July 2018 – 27 July 2018

Domain: Computer Vision

Technologies: Python, OpenCV

Roles and responsibility:

Actively involved in performing Adaptive Thresholding, Image Segmentation, Edge Detection, Image Filtering, Feature Matching, Face Detection, Object Detection on Images and real time motion picture using OpenCV library. PROJECTS UNDERTAKEN

Title: Otto Group Product Classification from Kaggle Description: Otto dataset is from an e-commerce company. The dataset provides 93 features for more than 200,000 products. The objective is to build a predictive model which is able to distinguish between their main product categories. An accuracy of approx. 82 percent was achieved.

Responsibilities:

● Data visualization and Handling Imbalanced Dataset

● Model building using different Machine Learning algorithms

● Hyperparameter Tuning

Title: Neural Style Transfer

Description: With Tensorflow, using source image and style image generated a neural style image with the help of VGG16 architecture and CNN. Responsibilities:

● Design CNN architecture

Title: Image Classification API

Description: Image Classification API is a Flask API, where the task of this API was to detect the input JPEG image using Tensor flow image classification API. Responsibilities:

● To verify authorized users and handle their tokens from mongodb database SOFT SKILLS

● Creativity

● Persuasion

● Collaboration

● Adaptability

● Emotional intelligence

CERTIFICATION

● Ongoing 8 months Artificial Intelligence certification course by Learnbay (Offline)

● Neural Network and Deep Learning by Coursera (Online)

● Tensorflow 2.0: Deep Learning and Artificial Intelligence by Udemy (Online) DECLARATION

I hereby declare that the information mentioned above is correct up to my knowledge and bear the responsibility for the correctness of the above-mentioned particulars. Place: Bangalore Signature

Date: 10/02/2020 CHANDAN M