ADITYA AJITH
Bengaluru
Summary
Machine Learning Engineer with expertise in developing and deploying innovative solutions to address complex business challenges. Proficient designing end-to-end machine learning pipelines, integrating advanced algorithms for predictive modeling, natural language processing, and data analysis.
Overview
2
2
years of professional experience
Work History
ML Engineer
GBS Plus
Trivandrum
03.2023 - Current
- Developed an AI-powered system to monitor, analyze, and generate comprehensive employee activity reports using machine learning (ML) models and GPT for natural language generation
- Delivered actionable insights on employee productivity, project performance, and engagement
- Implemented a scalable data pipeline to extract, clean, and preprocess employee activity data from diverse sources (e.g., work logs, task management tools, email activity)
- Designed and deployed ML models to classify and predict employee engagement levels and project completion timelines, enhancing decision-making capabilities
- Integrated GPT-based models to generate detailed, human-readable reports, summarizing analyzed data for stakeholders
- Built custom dashboards to visualize key performance indicators (KPIs) such as productivity metrics, engagement trends, and project outcomes
- Deployed the solution using Python, utilizing libraries like Hugging Face Transformers for NLP tasks and Scikit-learn for ML algorithms
ML Engineer
UST
Trivandrum
10.2022 - 02.2023
- Developed Python-based applications from design to production deployment, ensuring high performance and reliability
- Integrated machine learning models into various applications, including:
- ICEXD Chatbot Application: Enhanced chatbot functionalities with advanced ML capabilities
- Master Bot Application: Created a unified platform to consolidate multiple chatbots
- Implemented user workflow customization, enabling users to:
- Create workflows using stories
- Configure prompts and navigation
- Integrate third-party APIs
- Set up automated response mechanisms
- Utilized machine learning algorithms like Random Forest and SpaCy for natural language processing (NLP) tasks
Education
Bachelor's - computer science engineering
Bir Tikendrajit University
Imphal, Manipur, India07.2022
Skills
- Python
- SQL
- R
- Flask
- RESTAPI
- Django
- Matplotlib
- Seaborn
- Power BI
- Pandas
- NumPy
- TensorFlow
- Keras
- PyTorch
- XGBoost
- OpenCV
- Scikit-learn
- SpaCy
- Model Training
- Tuning and Deployment
- Data Visualization
- Data Analysis
- Exploratory Data Analysis
Timeline
ML Engineer
GBS Plus
03.2023 - Current
ML Engineer
UST
10.2022 - 02.2023
Bachelor's - computer science engineering
Bir Tikendrajit University
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