Ritu
Bengaluru, Bangalore Division, Karnataka, India
Experience: 3 years
Open to: Full-Time
Education: Bachelors
Availability: Within 30 Days
Skills: AWS, Azure, jUnit, Jupyter Notebooks, Kubernetes, Matplotlib, MongoDB, MySQL, NumPy, pandas, PySpark, Python, Python3, PyTorch, R, Redis, scikit-learn, Snowflake, TensorFlow
Previously worked at: India-based Companies, Product Companies, Startups
Assessment Score: 76
- Professional Experience
With over 2.5 years of experience, Ritu Raj specializes in machine learning and natural language processing (NLP), particularly in developing voice bots and virtual assistants. At Gnani.ai, contributed to deploying inbound and outbound voice-bots, increasing customer engagement, reducing response times, and improving operational efficiency, resulting in significant cost savings and improved customer satisfaction. - Expertise in NLP and AI
Skilled in NLP, LLM models, and machine learning, Ritu Raj has a deep understanding of AI, data analytics, and deploying models for diverse applications. Her work with NLP technology has consistently enhanced user experiences in voice-first conversational AI solutions. - Software Development and Deployment
Proven ability in designing, developing, and implementing software solutions, particularly through the use of machine learning models, APIs, and data preprocessing. Ritu has successfully developed and deployed machine learning models, optimized for accuracy and performance, in real-world applications such as automating tasks and improving business processes. - Educational Background
Holds a B.Tech in Computer Science Engineering from Lovely Professional University with a CGPA of 7.3. Additionally, has completed several certifications in machine learning, algorithmic toolbox, SQL for Data Science, and object detection. - Technical Skills
Proficient in Python, TensorFlow, PyTorch, Keras, and PySpark, along with strong knowledge in deep learning, computer vision (CNN), data mining, and machine learning algorithms. Experienced in using frameworks and tools like Flask, Scikit-learn, AWS, Docker, and Kubernetes. - Notable Projects and Certifications
Led projects including a real-time face recognition system using CNN & OpenCV, a college enquiry chatbot powered by Rasa, and a used car price prediction model. Also, completed certifications in various technical areas including object detection with Amazon Sagemaker and SQL for Data Science.