Ayush Bhandari

Software Engineer

United States5 yrs 3 mos experience

AI ML PractitionerAI Enabled

Key Highlights

Generated $1.8M monthly revenue through innovative ML models.
Achieved 85% accuracy in predicting customer behavior.
Implemented secure face verification for online assessments.

Stackforce AI infers this person is a Data Scientist specializing in SaaS and EdTech solutions.

Contact

Skills

Core Skills

Machine LearningData ScienceTeachingSoftware Development

Other Skills

.NETAI SolutionsAWSAirflowAmazon EC2Amazon Web Services (AWS)AngularJSBashBayesian statisticsC#Career CounselingClassificationClassroom InstructionClusteringCommunication

About

👋 Hey there, I'm Ayush Bhandari, a seasoned Data Scientist with a knack for transforming raw data into meaningful insights. 📊 🎓 Armed with a Master's in Data Science from Northeastern University and a Bachelor's in Computer Science from Birla Institute of Technology, I bring a robust educational foundation to my data-driven journey. 💼 Currently rocking the role of Data Scientist II at Afiniti in Washington, DC, I've been a key player in the launch of a revenue-generating line of business, pulling in a solid $175K per month. 🚀 🤖 My toolbox includes R, Python, SQL, Excel, and a mastery of tools like Classification, XGBoost, and Tensorflow. From crafting feature engineering pipelines to designing metrics predicting customer churn with 85% accuracy, I'm all about making an impact. 💡 🔍 On the side, I've dipped my toes into intriguing projects like Face Verification using TensorflowJS and creating a protocol for logging data from TI MSP430 6779 during my Examity and Genus days respectively 🌐 🌟 Passionate about tech, my academic projects include Image De-Identification using Deep Learning and Question Answer Modeling using tools like PyTorch, AWS, and more. I believe in the power of data to tell compelling stories. 📸 💬 Let's chat about opportunities to collaborate on data science, machine learning, or any exciting project that involves turning raw data into impactful solutions. Feel free to reach out! 🚀 #DataScience #MachineLearning #TechEnthusiast

Experience

Sift

Software Engineer, Identity Risk

Aug 2025 – Present · 7 mos · United States · Remote

Afiniti

Machine Learning Engineer

Apr 2021 – Jul 2025 · 4 yrs 3 mos · Remote, United States · Remote

Collaborated with cross-functional teams to successfully launch a new line of business generating a monthly revenue stream of $500K
Created feature engineering pipelines using gradient boosting and k-means clustering to enhance user behaviour modeling, improving model performance by 12% and increasing revenue by 8%
Devised a predictive metric using word embeddings achieving an 85% accuracy in forecasting repeat callers, reducing outcome lag by 5 days
Leveraged deep neural networks to generate accurate agent estimations, resulting in a 16% increase in agent handle time, contributing to $150K additional monthly revenue
Established data quality checks and anomaly detection pipelines, ensuring data integrity and correct runtime application of production models
Conducted advanced experimentation, including A/B testing, on call center data to extract actionable insights, reducing average speed of answer by 11%
Productionized real-time Bayesian machine learning models to optimize agent-caller pairing, leading to over $1.8M monthly revenue in incrementals
Improved customer retention by refining caller churn metric resulting in $200K monthly revenue boost

GitRMachine Learning AlgorithmsExperimentationBashProblem Solving+21

Examity®

Machine Learning Engineer

Jan 2020 – Aug 2020 · 7 mos · Newton, Massachusetts, United States

Implemented face verification feature with 70% perfect matching, enabling seamless and secure test-taker authentication
Enhanced an auto-proctoring system to process a 60% increase in online exams during COVID-19, achieving a 17% boost in flagging accuracy and 15% faster processing speeds
Improved anomaly detection for automated proctoring, reducing false positives by 10%
Accelerated migration of exam videos from Rackspace to AWS S3 by 50% using EC2 instance automation
Resolved critical bugs, improving application stability, leading to a more robust and reliable user experience

GitVSCodeAngularJSProblem SolvingScriptingHTML+9

Khoury college of computer sciences

Graduate Teaching Assistant

May 2019 – Dec 2020 · 1 yr 7 mos · Boston, Massachusetts, United States

TA for the course CS6220 for Professor S. Arunagiri

TeachingCommunicationMachine LearningData VisualizationpandasData Science+1

Genus power infrastructure ltd

Software Application Engineer

Feb 2018 – Jul 2018 · 5 mos · Jaipur, Rajasthan, India

Led a team of 3 for the design and implementation a 6-channel voltage/current data logger for electrical meter data analysis of TI MSP430 6779 microcontroller
Generated actionable insights through trend analysis of electric meter usage data, leading to a 15% reduction in resource utilization

Problem SolvingScriptingPythonTechnical CommunicationMSP430Embedded C+2