Vikash Ramaswamy
Data Scientist
Thoraipakkam, Chennai
Summary
Data Scientist possessing strong mathematical skills and detailed knowledge of machine learning evaluation metrics and best practices. Offering experience creating programs and algorithms to enable machines to take actions without being directed. Expertise in predictive analysis, data mining and computational statistics. Experience across multiple domains like finance, retail, and sports.
Overview
8
8
years of professional experience
6
6
years of post-secondary education
Work History
Deep Learning Engineer & Lead QA - iOS & Web
Appmetry Technologies
Chennai
01.2021 - Current
- Led team of 7 QA professionals across 3 projects, overseeing hiring, training, and productivity
- Developed innovative fashion product feature extraction model (WearIt) using OpenCV and TensorFlow. Leveraged OpenCV and TensorFlow to build robust multi-label image classifier. Implemented advanced multi object classification and color clustering ML algorithms for accurate fashion insights
- Spearheaded creation of binary sound classification app (Sound AI) using Python and TensorFlow and designed custom artificial neural network architecture for outstanding accuracy and efficiency. Utilized librosa for audio preprocessing and analysis.
- Contributed to pioneering data analysis initiatives for sports biomechanics (Uplift Labs Inc's Capture). Worked with state-of-the-art 3D models to extract key points and perform comprehensive biomechanical metric calculations after analyzing huge volumes of data. Developed novel methods to identify crucial events and actions with thorough Data Analysis
- Built handwriting recognition model (GitHub: MagnusRox/HCR) using advanced deep learning techniques and IAM dataset. Implemented innovative data preprocessing approaches, including image manipulation and feature extraction. Designed and implemented custom 15-layer convolutional neural network (CNN) for accurate recognition.
- Recently, obtained silver medal in Kaggle competition. Find public code created for it here https://github.com/MagnusRox/hubmap_kidney
- Researched and implemented best practices to improve existing machine learning infrastructure.
- Conducted statistical analysis and interpreted results to guide organization's decision-making process.
- Consulted with managers to determine and refine machine learning objectives.
- Involved in leading QA activities for several projects using my expertise.
Associate Software Engineer
Applied Materials
Chennai
06.2018 - 12.2020
- APF is Automation solution tool that is designed to increase productivity of factories by at least 30% with thorough data processing. ETL, Analytics, and Automation are different modules of it.
- As Software Quality Engineer, worked on all 3 modules to ensure business teams and manufacturing team get maximum out of their data
- Created end-to-end frameworks for performance and automation testing of Windows-based applications with Python
- Led and mentored team of 3 junior testers, ensuring comprehensive test coverage and minimal leakage
- Worked with 4 databases - Oracle, MSSQL, MySQL, and DB2
- Obtained proficiency working with Linux, Solaris, and OpenVMS systems
- Worked with product APF Analytics(built on top of High charts) to derive inferences from vast pool of existing databases
- Created meaningful dashboards for stakeholders to analyze and make decisions.
- Created various dashboards and sophisticated reports using APF Analytics that lead to informed product decisions
- Created a safe data pipeline using APF products for intelligent data collection
- Built enterprise-level data processing frameworks that boosted productivity of teams to much higher degree.
QA
Infosys
Chennai
08.2015 - 05.2018
- Conducted automation testing using Selenium and Java for Citibank's KYC web application
- Successfully tested data migration from Source System to Target System, showcasing expertise in Data Migration and ETL processing
- Acted as subject matter expert for KYC in Credit Cards domain.
- Created and achieved product quality objectives and met product specifications.
- Supported company in maintaining work environment focused on quality, communication, collaboration, integration, and teamwork.
Education
M.Tech - Data Science
07.2020 - 05.2022
B-Tech - ECE
05.2011 - 05.2015
Skills
Python
Timeline
Deep Learning Engineer & Lead QA - iOS & Web - Appmetry Technologies
01.2021 - Current
BITS Pilani - M.Tech, Data Science
07.2020 - 05.2022
Associate Software Engineer - Applied Materials
06.2018 - 12.2020
QA - Infosys
08.2015 - 05.2018
BS Abdur Rahman University - B-Tech, ECE
05.2011 - 05.2015
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