Tejasree Namala
Hyderabad
Summary
Seasoned Data Scientist with expertise in machine learning, predictive modeling, and big. data technologies to solve complex business challenges. Skilled in Python, SQL, and cloud platforms, with a strong ability to translate data into actionable insights. Dedicated to driving innovation through data-driven decision-making
Overview
7
7
years of professional experience
Work History
Data Scientist
ZF
Hyderbad
03.2022 - Current
- CDC Sensors (Ongoing): Developing machine learning models to determine shock absorber wear and detect anomalies, such as valve malfunctions, oil leakage, and inconsistent sensor output.
- Engineering features and implementing anomaly detection algorithms to improve predictive maintenance.
- Designing and optimizing data workflows via Azure Pipelines for MLOps automation.
- Conducting in-depth exploratory analysis of large-scale datasets using SQL, Pandas, NumPy, and Scikit-learn.
- VMC (Vehicle Motion Control - Friction Detection-Ongoing):
- Collects environmental data and excess friction from all vehicles.
- Set up infrastructure in Ali Cloud to handle incoming data.
- Configured ECS instances deployed the initial application version seamlessly using Docker containers.
Software Engineer
TCS
Hyderbad
09.2018 - 03.2022
- Led comprehensive release testing for major automotive OEMs, including Hyundai, VW, SAIC, BMW, and AMG, ensuring software reliability and compliance with industry standards.
- Managed the deployment and integration of hardware and VT (Vehicle Test) systems, optimizing performance, and ensuring seamless compatibility with automotive software components.
- Designed and implemented automated Vtest test cases, reducing manual testing efforts by 85% and improving testing efficiency for vehicle software validation.
- Refined and optimized switch module functionality to align with evolving system requirements, enhancing overall vehicle performance and user experience.
- Developing and validating test cases to ensure compliance with rain light sensor functionality requirements, improving system accuracy, and reliability.
Education
Postgraduate Program - Datascience And AIML
Great Learning
TAMILNADUBachelor of Science - ELECTRICAL AND ELECTRONICS ENGINEERING
SASTRA UNIVERSITY
TAMILNADU05-2018
Skills
- Mathematics and Statistics, C, Python, and SQL
- Machine Learning algorithms (Supervised, Unsupervised), Deep Learning (CNN, RNN, LSTM, GAN)
- NLP: Natural language processing techniques, sentiment analysis, and language modeling
- Computer Vision: Image processing, object detection, and image classification
- Generative AI: LLMs and text generation, prompt engineering, embedding and vector stores/databases, inference acceleration and fine-tuning for specified tasks (Oracle Cloud Infrastructure Generative AI Professional certified), text-to-image using Google Vertex AI tools
- Libraries: TensorFlow, PyTorch, Scikit-learn, Keras, NLTK, and SpaCy
- Data manipulation and visualization tools like NumPy, Pandas, Seaborn, Matplotlib, and Pyplot
- Data Engineering and Preprocessing: data collection, cleaning, and feature engineering
Languages
Telugu
First Language
English
Proficient (C2)
C2
Hindi
Proficient (C2)
C2
Tamil
Intermediate (B1)
B1
Timeline
Data Scientist
ZF
03.2022 - Current
Software Engineer
TCS
09.2018 - 03.2022
Postgraduate Program - Datascience And AIML
Great Learning
Bachelor of Science - ELECTRICAL AND ELECTRONICS ENGINEERING
SASTRA UNIVERSITY
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