Tejashwini M
@tejashwinim
Senior AI/ML Engineer with expertise in data-driven solutions.
What I'm looking for
I am a Senior AI/ML Engineer with around 9 years of experience in Machine Learning and AI. My journey has been marked by a commitment to leveraging data to drive business value, particularly in the health and telecom industries. I specialize in building AI solutions that utilize advanced techniques in Machine Learning, Data Science, and Natural Language Processing (NLP). My work has consistently focused on transforming messy, real-world datasets into actionable insights, resulting in significant improvements in decision-making processes.
Throughout my career, I have successfully developed and deployed various machine learning models, including conversational agents that have led to a 40% reduction in human agent interaction volume. My expertise extends to utilizing platforms like Databricks for AI model lifecycle management, where I have implemented a wide range of AI techniques, including Principal Component Analysis and Neural Networks. I am passionate about continuous learning and collaboration, regularly conducting training sessions to empower my team in deploying AI-powered solutions effectively.
Experience
Work history, roles, and key accomplishments
Sr ML/AI Engineer
Transunion BBI
Jan 2023 - Present (2 years 4 months)
Developed and deployed machine learning models on clinical trials data, improving data analysis and decision-making for Premier Health Care. Collaborated on end-to-end AI solutions using Databricks and created FastAPI applications for clinical concept extraction.
Sr ML/AI Engineer
Signature Aviation Optimized
Nov 2020 - Nov 2022 (2 years)
Implemented NLP routing solutions for customer service requests, enhancing response times and customer satisfaction. Led migration of Fraud Analytics pipeline to Azure and developed automated responses using transformer-based NLP models.
Data Scientist/Senior NLP Developer
Transunion
Jun 2017 - Oct 2020 (3 years 4 months)
Supported NLP pipelines for extracting clinical concepts from unstructured data, improving sentiment analysis in healthcare. Developed predictive models for disability claims, enhancing customer satisfaction and operational efficiency.
Data Scientist
USAA
Dec 2014 - May 2017 (2 years 5 months)
Built RESTful APIs for predictions using historical data, collaborating with SMEs for optimal model performance. Implemented data wrangling and hybrid modeling approaches to deliver insights and improve customer segmentation.
Education
Degrees, certifications, and relevant coursework
CMR Institute of Technology
Bachelor of Science, Computer Science
2010 - 2014
Completed a Bachelor's degree in Computer Science, focusing on software development, algorithms, and data structures. Gained foundational knowledge in programming languages and software engineering principles.
Tech stack
Software and tools used professionally
Apache Spark
AWS Glue
Dialogflow
Microsoft Azure
Google Cloud Platform
GitHub
Bitbucket
Kubernetes
Jupyter
NumPy
Pandas
PySpark
DB
dat
MongoDB
Cassandra
Hadoop
Gmail
Django
.NET
Yarn
Databricks
PyCharm
Azure DevOps
JavaScript
JSON
TensorFlow
PyTorch
MLflow
Keras
H2O
Kafka
FastAPI
Ambari
Ubuntu
Linux
Windows
Gemini
Avro
SourceTree
Gunicorn
Time Analytics
SQL
SciPy
Availability
Location
Authorized to work in
Job categories
Skills
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