| << Professional Summary
Highly skilled Corporate Trainer with a PhD in AI/ML and over 10 years of experience in data analytics, machine learning, and deep learning. Proficient in developing and implementing end-to-end machine learning workflows, including data preprocessing, feature engineering, model development, deployment, and optimization. Adept at delivering tailored training solutions across industries such as marketing, finance, and retail, while mentoring doctoral, postgraduate, and graduate students to enhance research capabilities and maximize performance. Expertise in Python, R, Azure Cloud, and Generative AI models, with a strong focus on data analysis, visualization, and actionable insights. Skilled in handling large structured and unstructured datasets and creating no-code applications to drive innovation and informed decision-making.
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Areas of Expertise
- Data Analytics: Providing data-driven insights for business problem-solving
- Machine Learning & Deep Learning: Building and deploying advanced models
- Generative AI: Deploying LLM based solutions to cater diverse requirements of clients.
- Data Visualization: Expertise in creating impactful visualizations for corporate reporting
- Machine Learning Model Deployment: Designing and implementing robust and scalable machine learning model deployment on Azure cloud and on-premise platforms
- Generative AI Applications: No-code solutions for AI-driven projects
- Training & Development: Conducting workshops and training for corporate clients and academic institutions
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Technical Skills
- Languages & Tools:
- R, RStudio, Python, Microsoft Azure, Jupyter Notebook, PyCharm, Google Colab, GitHub, MATLAB, VSCode
- Python Packages:
- NumPy, Pandas, Scikit-learn, TensorFlow, Keras, Matplotlib, Seaborn
- R Packages:
- dplyr, ggplot2, stringr, caret, shiny, RMarkdown, plotly
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Professional Experience
Koenig Solutions Pvt Ltd
*Corporate Trainer (July 2023 – Present)*
- Deliver specialized training sessions on data analytics, machine learning, and deep learning to corporate clients.
- Develop custom training materials tailored to client requirements across sectors like marketing, finance, and retail.
- Provide hands-on sessions on advanced data analytics tools, R, Python, and Azure.
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Key Projects
- LLM-Integrated Chatbot for Order Query Resolution: Implemented a LangChain-based chatbot integrated with external APIs to automate customer support for online purchase order inquiries. This solution accurately retrieves and presents order details from the database, potentially reducing customer support costs and improving response times.
- Diabetes Prediction System using End-to-End Machine Learning Workflow: developed and deployed an end-to-end machine learning pipeline for diabetes prediction, leveraging Azure Container Instances and a CI/CD pipeline with GitHub Actions for automated deployment. This solution, incorporating data preprocessing, feature engineering, and model optimization, has the potential to improve early diagnosis and personalized treatment plans in healthcare settings.
- Electronic tongue system for beverage and pharmaceutics analysis: Developed an electronic tongue system for beverage analysis, utilizing Wavelet Transform for feature extraction, and computed ML taste models to predict shelf life, ensure quality control, authenticate products, identify regional differentiation and taste masking of pharmaceutics, achieving a 20-45% improvement in quantitative analysis.
- Gait Disorder Prediction System: Developed a multi-class classification model for gait disorder prediction using public datasets and a Random Forest classifier, achieving a 14% improvement in accuracy. This approach has potential applications in healthcare for early diagnosis and personalized treatment of gait disorders.
- Equity and Option Portfolio Management System: Developed a real-time trading strategy using SmartAPI and moving average crossover, achieving a 22% annual ROI. The system also incorporated hypothesis testing for stock return forecasting and Value at Risk (Var) analysis.
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Awards & Certifications
- Microsoft Azure AI Engineer
- Microsoft Azure Data Scientist
- GATE 2010: Qualified in Instrumentation Engineering with AIR-929.
- Device Diagnostic Award: Awarded by BETIC, IIT Bombay in 2021 for contributions to medical device diagnostics.
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Education & Certifications
- PhD in Instrumentation Engineering
Associated with Koenig since July-2023.
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