Shaik Liyaz
Hyderbad
Summary
Data Scientist with 4 years of experience in anomaly detection, forecasting, and AI-driven automation. Expert in Python, ML/DL, and cloud platforms with a strong track record of building production-ready models for network analytics and supply-chain optimization. Skilled in designing real-time systems and delivering measurable business impact.
Overview
4
4
years of professional experience
1
1
Certification
Work History
Senior Data Scientist
Incedo Inc.
03.2024 - Current
- Developed a real-time sentiment analysis and alerting system on network log data using sequential deep learning architectures (LSTM/GRU), enabling automated detection of negative events and proactive incident response.
- Designed and deployed advanced anomaly detection pipelines leveraging Autoencoders, Isolation Forest, and statistical modeling to identify rare patterns, network anomalies, and performance degradations in large-scale telemetry data.
- Implemented text analytics, semantic search, and bug similarity matching using NLP embeddings, cosine similarity, TF-IDF, and transformer-based models, significantly improving issue triaging and reducing debugging time.
- Built a seasonality-aware anomaly detection framework for 100+ network performance counters, using time-series decomposition, confidence interval modeling, and dynamic statistical analytics to automatically generate upper/lower bounds for real-time KPI monitoring.
- Applied deep learning, machine learning, and natural language processing techniques for predictive analytics, root-cause analysis, and automated decision intelligence in high-volume network environments.
Data Scientist
Techwave India Pvt Ltd
04.2022 - 07.2023
- Automated warehouse inventory management by building real-time object detection pipelines using YOLOv8 + CNN, improving stock accuracy and significantly reducing manual effort.
- Developed advanced demand forecasting models using LSTM, accurately predicting SKU-level demand and optimizing supply chain planning, resulting in reduced overstock and improved inventory turnover.
- Implemented real-time shipment tracking using DeepSORT and custom detection models, enabling anomaly detection on live streams and reducing operational errors by ~80%.
- Designed and deployed scalable end-to-end ML pipelines, covering data preprocessing, model training, evaluation, deployment, and continuous monitoring.
- Collaborated with warehouse and logistics teams to convert business requirements into production-grade AI solutions, improving operational visibility and decision-making.
Associate-Engineer
Avienon
08.2021 - 04.2022
- Building real-time applications integrating AI and IoT.
- Sales research and analysis for business insights, increasing sales by a decent percentage.
- Conducted thorough research and analysis to identify potential process improvements in existing systems.
Education
B. Tech -
Vasireddy Venkatadri International Technological University (VVIT)
05.2021
Skills
- MACHINE LEARNING
- DEEP LEARNING
- GEN-AI
- LLM
- APPLICATION DEVELOPMENT
- AUTOMATION
- STATISTICAL ANALYSIS
- ANOMALY DETECTION
- REQUIREMTS GATHERING
- TEAM MANAGEMENT
- GPU OPTIMIZATION
- DESCRIPTIVE ANALYTICS
- NLP
Certification
Post Graduation in Data Analytics, 04/01/21, 07/31/21
Hobbies and Interests
- Gaming
- Travelling
- Music
- Automobile
Awards
INNOVATION AND CUSTOMER EXCELLENCE, 05/01/24, 05/31/25, INCEDO INC.
Languages
- HINDI
- TAMIL
- TELUGU
- ENGLISH
Websites
Timeline
Senior Data Scientist
Incedo Inc.
03.2024 - Current
Data Scientist
Techwave India Pvt Ltd
04.2022 - 07.2023
Associate-Engineer
Avienon
08.2021 - 04.2022
B. Tech -
Vasireddy Venkatadri International Technological University (VVIT)