Summary
Overview
Work History
Education
Skills
Certification
Projects
Publications
Timeline
Generic

Syamily Anilkumar

Pathanamthitta

Summary

Data Scientist with 4+ years of experience in data analysis and machine learning. Skilled in data pre-processing, feature engineering, and model evaluation. Seeking a Data Scientist/Machine Learning Engineer position to leverage my expertise in a data-driven organization.

Overview

6
6
years of professional experience
1
1
Certification

Work History

Data Science Technical Consultant

RP2, Division of IDatalytics Pvt Ltd,Infopark
10.2023 - Current
  • Provide technical mentorship and guidance to data science interns, overseeing project development from conception to completion, including task assignment, progress monitoring, and ensuring successful project delivery.
  • Develop and implement data-driven solutions for the company's HRMS to address internal business needs and improve HR processes.

Data Science Mentor

Techolas Technologies Pvt Ltd
11.2021 - 10.2023
  • Mentoring students on Data Science skills, managing their projects and providing guidance on data analysis, modeling, and implementation.
  • Enhanced data analysis skills of mentees by conducting hands-on workshops and practical sessions.

Junior Research Fellow

Cochin University of Science and Technology
02.2019 - 12.2019
  • Performed scientific research and development on an NRB (Naval Research Board) funded project for enhancing underwater images, detect underwater pipelines and underwater object detection using data science and machine learning techniques.
  • Presented research findings at the International Symposium on Ocean Technology conducted in CUSAT University, increasing visibility and collaboration opportunities for the lab.

Education

Master of Science - Electronics

College of Applied Science
Adoor, Pathanamthitta
08-2018

Bachelor of Science - Electronics

College of Applied Science
Adoor, Pathanamthitta
04-2016

Skills

  • Python
  • Machine Learning
  • Predictive modelling
  • Neural Networks
  • Statistics
  • Natural language processing
  • Computer Vision
  • MySQL
  • Microsoft Excel

Libraries: numpy, pandas, scikit-learn, matplotlib, seaborn, tensorflow, keras, nltk, opencv

  • Tableau
  • HTML, CSS, Javascript
  • Flask framework

Certification

  • Microsoft Excel from A-Z: Beginner to Expert Course, Udemy
  • Machine Learning SkillUP
  • Complete Machine Learning and Data Science Bootcamp 2021, Udemy
  • The Data Science Course 2021: Complete Data Science Bootcamp, Udemy

Projects

  • Algorithm for underwater image enhancement, object detection and cable tracking

An underwater imaging project sponsored by Naval  Research Board (NRB) for enhancing underwater images for  improving the visual perception quality of the image, detecting  underwater objects and tracking underwater cables using image processing and machine learning techniques.

  • Audio-Based Emotion Recognition System

Implemented a machine learning pipeline for audio emotion recognition, utilizing Mel-Frequency Cepstral Coefficients (MFCCs) and ensemble models to extract relevant features and classify emotions.

  • HRMS Enhancement Project: Attrition Prediction and Resume Shortlisting

Developed a machine learning-powered HRMS system incorporating predictive models for employee attrition and automated resume screening. Utilized Machine Learning algorithms and NLP techniques to improve HR processes and reduce manual workload.

  • Convolutional Neural Network for Fine-Grained Dog Breed Classification

Developed and implemented a CNN model for fine-grained dog breed classification from images. Optimized the CNN architecture and training process to achieve superior results and got an accuracy of 92%.

  • Classification of Speech into Voiced and Unvoiced Components

A simulation project done in MATLAB where speech classification was done based on various features extracted from human speech signals, like short term energy , zero crossing rate (ZCR)  and linear predictive coefficients (LPC).

Publications

  • Algorithm for Underwater Cable Tracking using CLAHE based Enhancement

IEEE Publication, Proceedings of International  Symposium on Ocean Technology, 2019 (1st author))

  • L-CLAHE Intensification Filter (L-CIF) Algorithm for Sub-Aquatic Image Enhancement and Colour Restoration

IEEE Publication, Proceedings of International  Symposium on Ocean Technology, 2019  (Corresponding author)

  • Algorithm for Underwater Image Enhancement, Object Detection and Cable Tracking

IET Image Processing Journal (Corresponding author)

Timeline

Data Science Technical Consultant

RP2, Division of IDatalytics Pvt Ltd,Infopark
10.2023 - Current

Data Science Mentor

Techolas Technologies Pvt Ltd
11.2021 - 10.2023

Junior Research Fellow

Cochin University of Science and Technology
02.2019 - 12.2019
  • Microsoft Excel from A-Z: Beginner to Expert Course, Udemy
  • Machine Learning SkillUP
  • Complete Machine Learning and Data Science Bootcamp 2021, Udemy
  • The Data Science Course 2021: Complete Data Science Bootcamp, Udemy

Master of Science - Electronics

College of Applied Science

Bachelor of Science - Electronics

College of Applied Science
Syamily Anilkumar