Machine Learning Engineer

• Jul 2022 - Present

• Analyzing large-scale datasets related to cybersecurity and DNS to gain a deep understanding of security trends, anomalies, and patterns. • Designing and building robust, scalable, and efficient machine learning models and algorithms to detect and prevent cyber threats in real-time. • Building pattern detection system for anomalous DNS activities which identifies abnormal DNS behaviour to prevent potential threats. • Crafted an end-to-end machine learning feature in the cybersecurity space that efficiently detects and mitigates malware threats. Optimized the model and reduced the prediction latency from 100ms to 10ms to better serve the model on production systems. Show less

Data Science Lecturer/ Mentor

• Oct 2021 - Present

• Educated to over 30+ diverse post-grad students with theories, case studies, and real-world experiences on python, statistics, data visualization, supervised learning, classification, ensemble, model tuning, unsupervised learning, big data, and data management at Great Learning in collaboration with The University of Texas and MIT. (4.7 + ratings) • Educated to over 30+ diverse post-grad students with theories, case studies, and real-world experiences on python, statistics, data visualization, supervised learning, classification, ensemble, model tuning, unsupervised learning, big data, and data management at Great Learning in collaboration with The University of Texas and MIT. (4.7 + ratings)

Data Engineer

• Sep 2022 - Nov 2022

[Corporate Layoffs] • Design and build software infrastructure that collects, transforms, stores, and manages large amounts of structured/unstructured data on the cloud. • Design and build infrastructure that stores features and makes them readily available for Data Scientists to build ML models. [Corporate Layoffs] • Design and build software infrastructure that collects, transforms, stores, and manages large amounts of structured/unstructured data on the cloud. • Design and build infrastructure that stores features and makes them readily available for Data Scientists to build ML models.

Data Engineer

• 2022 - 2022

• Built data tools for the analytics and product optimization in the legal domain. • Created and maintained optimal data pipeline architecture integrated with Weights & Biases to assemble the real-time metrics of the machine learning models that meet functional / non-functional business requirements. • Built data tools for the analytics and product optimization in the legal domain. • Created and maintained optimal data pipeline architecture integrated with Weights & Biases to assemble the real-time metrics of the machine learning models that meet functional / non-functional business requirements.

Big Data Engineer

• 2021 - 2022

• Responsible to collaborate with various team & management to understand the requirement & design the complete system for Data ingestion and engineering patterns in Hadoop utilizing Spark. • Involved closely with client success team to explore recognition/engagement data and improve data reliability, efficiency that relates to customer data and business metrics. • Design and development of ETL processes and data ingestion dealing with unstructured and structured data. • Responsible to collaborate with various team & management to understand the requirement & design the complete system for Data ingestion and engineering patterns in Hadoop utilizing Spark. • Involved closely with client success team to explore recognition/engagement data and improve data reliability, efficiency that relates to customer data and business metrics. • Design and development of ETL processes and data ingestion dealing with unstructured and structured data.

Data Scientist

• Sep 2020 - Jul 2021

• Implemented the document layout detection model to leverage the data retrieval from historical reports and scanned documents.• Designed text processing pipeline that identifies, processes and extracts text from historical documents and stores metadata in NoSQL.• Inspired the adoption of visualization by generating value from data through interactive dashboards using Tableau.• Gained knowledge of upstream operations in oil and gas domain.

Analyst / Developer

• Feb 2020 - Sep 2020

Graduate Research Assistant

• Jan 2020 - Apr 2020

• Analyzed 1M+ website snapshots to understand the Green Washing trend of 5000+ companies. • Created Blank Classifier to bifurcate the blank and non-blank images. • Built a Neural network-based Object Detection model to predict the company’s environmental violation status from their website snapshots. • Analyzed 1M+ website snapshots to understand the Green Washing trend of 5000+ companies. • Created Blank Classifier to bifurcate the blank and non-blank images. • Built a Neural network-based Object Detection model to predict the company’s environmental violation status from their website snapshots.

Analyst

• Apr 2018 - Jun 2019

• Developed end-to-end scalable machine learning solutions and deployed them using Python Framework (Django) for the clients. • Built and hosted ML service endpoints (REST APIs) on AWS using APACHE web-server. Utilized databases including MySQL and MongoDB. • Created rich interactive graphs and data visualizations of structured data in R, Python, and Tableau. • Experience in the implementation of machine learning and NLP techniques on different projects. • Developed end-to-end scalable machine learning solutions and deployed them using Python Framework (Django) for the clients. • Built and hosted ML service endpoints (REST APIs) on AWS using APACHE web-server. Utilized databases including MySQL and MongoDB. • Created rich interactive graphs and data visualizations of structured data in R, Python, and Tableau. • Experience in the implementation of machine learning and NLP techniques on different projects.

Associate Engineer

• Sep 2016 - Aug 2017

• Provided expert level troubleshooting & analysis methods and also research & development of solutions to new issues for the seamless running on Production Environment. • Hands on experience on writing SQL queries, PL/SQL stored procedures, reconciliation of financial data. • Experience of working in Finance domain database layer. • Creation and automation of reports. • User Acceptance testing/Manual testing • Provided expert level troubleshooting & analysis methods and also research & development of solutions to new issues for the seamless running on Production Environment. • Hands on experience on writing SQL queries, PL/SQL stored procedures, reconciliation of financial data. • Experience of working in Finance domain database layer. • Creation and automation of reports. • User Acceptance testing/Manual testing