I am Nilay Jain, a Data Scientist with experience in Machine Learning, Generative, and implementing AI-driven software solutions. I have experience working with LLMs, RAG, deep neural networks, HuggingFace, and LangChain.
I hold a Master’s degree in Computer Science, specializing in Data Science and Machine Learning.
My recent work includes multiple ML projects where I developed expertise in:
• Building predictive models in Python
• Data cleaning and preprocessing
• Deep learning architectures such as CNNs, RNNs, and LSTMs
• Both supervised and unsupervised learning techniques
• Natural Language Processing (NLP), Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG)
Previously, I worked as a Software Developer at Infosys in India for four years, gaining extensive software development experience.
I am actively seeking roles in Data Science and Machine Learning where I can apply my skills to real-world challenges, continue learning, and make impactful contributions.
Developed efficient PySpark data pipelines for financial stock forecasting, achieving 75% higher data accuracy through optimized preprocessing techniques and 30% faster transformation efficiency via Min-Max and Standard scaling. Integrated Alpha Vantage and Yahoo APIs to collect and preprocess real-time stock and news data, enhancing AI-driven insights with LLM-based sentiment analysis using Meta-Llama 2 and BERT Hugging Face Transformers. Monitored forecasting models using MSE and RMSE metrics, leading to a 15% increase in accuracy and reduced prediction drift. Visualized stock trends and KPIs with Matplotlib and Tableau, uncovering patterns and anomalies while creating interactive dashboards that reduced report generation time by 40%.
Redesigned the Python curriculum to incorporate hands-on ML projects, enhancing real-world AI applications. Delivered lectures on Python, covering fundamentals to advanced ML with TensorFlow, Pandas, and NumPy, demonstrating practical implementations for effective learning.
Employed Python to analyze data, automate processing, and generate reports, improving accuracy and efficiency. Developed a ServiceNow dashboard, enhancing ticket acknowledgment and resolution by 20% through real-time tracking. Optimized data access and authentication for SGRE across 50+ countries using Python and SQL, increasing system reliability by 25%. Participated in daily scrums and utilized Jira for task management, tracking progress, and visualizing sprint metrics. Designed interactive Tableau dashboards, delivering actionable insights and reducing manual reporting efforts by 40%.
GPA: 3.7 / 4.0
Courses: Artificial Intelligence, Advanced Algorithms, Machine Learning, Artificial Neural Network, Web Back-End Engineering, Software Verification & Validation, Advanced Blockchain Technologies, Modern Software Management
GPA: 3.45 / 4.0
Courses: Data Structures, Java, Object Oriented Technology, Analysis & Design of Algorithms, Database Management Systems, Software Engineering & Project Management, Advance Computer Architecture, Distributed System, Cloud Computing, Web Engineering
I created ETL pipelines for effective data cleaning and preprocessing tasks in projects.
Knowledge on building regression, classification, and sequential models using Tensorflow and Scikit-learn
Data Visualization is more than an API call to matplotlib. I love to dive into data patterns, explore insights, and create visuals that tell a compelling story.
Exploring intelligent visual systems and language models to drive innovation, human-centered AI solutions.
I'm passionate about building scalable model deployment pipelines for impactful, real-time AI solutions.
Good in building robust, scalable backend systems using Python and Docker for high-performance applications.
Have a look at my research papers and certifications in AI!
I bring a dynamic fusion of AI/ML expertise and software development skills, specializing in predictive modeling, deep learning, and data wrangling. As a seasoned problem-solver with a keen eye for detail, I excel at transforming complex data into actionable insights. With hands-on experience in building ETL pipelines, deploying AI-driven solutions, and leveraging cutting-edge technologies like LLMs and Vision Transformers, I'm poised to drive impactful results in forward-thinking organizations that value data-driven innovation and continuous learning. I'm eager to contribute my skills in a collaborative environment that fosters growth and empowers data-driven decision-making.