Soundarya Mantha
Summary
Data Scientist with 6+ years of experience in machine learning, data analytics, and intelligent edge solutions across semiconductor, manufacturing, retail, and healthcare domains. Expertise in predictive modeling, anomaly detection, NLP, and IoT data pipelines. Skilled in deploying AI/ML systems from research to production, working across cloud-native, edge, and hybrid environments. Strong collaborator with proven record of leading cross-functional teams and delivering measurable business impact.
Overview
7
7
years of professional experience
1
1
Certification
Work History
Analyst, Data Scientist
ANALOG DEVICES INC.
Wilmington
01.2023 - Current
- Led design and deployment of predictive maintenance models using flow and vibration sensors at Wilmington Fab, improving machine uptime and reducing water usage anomalies.
- Developed IoT pipelines for secure data transfer from factory sensors to cloud platforms (Azure IoT Hub, Event Hubs) for real-time monitoring and intelligent edge applications.
- Designed dashboards enabling cross-BU decision-making by integrating sensor data, anomaly alerts, and predictive KPIs.
- Researched and prototyped ML/DL methods for security, including anomaly detection in network traffic and adversarial robustness testing for industrial IoT environments.
- Collaborated with cross-functional engineering and third-party vendors to operationalize edge ML models on microcontrollers and gateways.
- Published technical findings internally to guide adoption of ML solutions across other fabs and manufacturing units.
Graduate Research Assistant
THE PENNSYLVANIA STATE UNIVERSITY
09.2021 - 12.2022
- Implemented NLP techniques (Topic Modeling, Aspect-based Sentiment Analysis, Named Entity Recognition) on 70K+ COVID-19 Tweets.
- Built ML pipeline for real-time data extraction from Twitter using Spark, Kafka, and NoSQL databases.
- Integrated interactive Qlik dashboards with the college website to visualize sentiment analysis results.
Data Analyst Intern
BERKLEY TECHNOLOGY SERVICES
06.2022 - 08.2022
- Performed data wrangling and exploratory analysis across 50+ operation units to improve policy pricing and claims ratios.
- Designed validation processes for scalable ETL migration from legacy systems to Azure Data Lake.
- Automated reporting and validation checks with Python, reducing manual workload by 60%.
Data Scientist
MU SIGMA INC.
06.2018 - 07.2021
- Deployed production risk assessment system using statistics, KNN, Random Forests, and semi-supervised learning, reducing risk exposure of 2.2% accounts.
- Led a team of 7 managing millions of SAP and Cadency records, delivering Tableau dashboards for business stakeholders.
- Built SKU recommendation models using Apriori, Association Rules, and FP-Growth, improving sales outcomes.
- Automated reporting pipelines with Alteryx, Python, and Tableau, reducing manual processes by 70%.
- Developed CLTV and retention propensity models using PySpark and Hadoop.
- Analyzed campaign effectiveness and presented insights through Tableau dashboards to senior stakeholders.
Education
Master of Professional Studies - Data Analytics
The Pennsylvania State University
Malvern, PA12.2022
Bachelor of Technology - Electronics and Communications Engineering
Amrita School of Engineering, Amrita Vishwa Vidyapeetham
Kerala, India05.2018
Certification
- Microsoft Azure Certified AI Fundamentals
- Qlik Certified Data Analytics
Timeline
Analyst, Data Scientist
ANALOG DEVICES INC.
01.2023 - Current
Data Analyst Intern
BERKLEY TECHNOLOGY SERVICES
06.2022 - 08.2022
Graduate Research Assistant
THE PENNSYLVANIA STATE UNIVERSITY
09.2021 - 12.2022
Data Scientist
MU SIGMA INC.
06.2018 - 07.2021
Bachelor of Technology - Electronics and Communications Engineering
Amrita School of Engineering, Amrita Vishwa Vidyapeetham
Master of Professional Studies - Data Analytics
The Pennsylvania State University