I am a Data Science professional well versed in Machine Learning and Deep Learning algorithms using Python as well as on other advanced AI techniques like LLMS, Computer Vision and Natural Language Processing. I have a g…
I am a Data Science professional well versed in Machine Learning and Deep Learning algorithms using Python as well as on other advanced AI techniques like LLMS, Computer Vision and Natural Language Processing. I have a good grip on Python & other major programming languages. I am well acquainted with Google Cloud Platform Vertex AI, BigQuery, Kubeflow, AWS Sagemaker, MySQL, MS Excel, Google Sheets, Google Analytics. I am strong in data visualization using MATPLOTLIB, Plotly & Seaborn as well as machine learning modeling using Scikit Learn, Keras, Tensorflow, Pytorch, etc. I have deployment experience using Docker on AWS and GCP Vertex AI.
I am A Data Science and AI ML professional. I worked as A lead AI Engineer at Spirinova, Sr. AI Engineer at Codeglo. Earlier As a Senior Developer Data Scientist at Srijan Material+, I work on data extraction, development and implementation of machine learning and deep learning models, and machine learning pipeline implementations on Vertex AI and ML Ops on Google Cloud Platform. I also have experience working with AWS Sagemaker and other cloud services. Works mainly on Data extraction, development and implementation of ML/ DL models, ML pipeline implementations on Vertex AI and ML Ops on GCP. Can also work on AWS Sagemaker.
I have a strong background in data science, with a Bachelor of Science in Software Engineering from Swami Ramanand Teerth Marathwada University and a PG Diploma in Data Science from Naresh ITechnologies. I have also earned multiple certifications from CutShort in Machine Learning and Deep Learning. I am passionate about applying data science to solve real-world problems and create value for businesses and customers.
Developed a RAG based Chatbot system using open source LLMs like Mistral, LLAMA2 and OpenAI to answer user queries.
Used Ollama, FastAPI, Docker, Kubernetes and Vertex AI.
Worked on development of Odin AI, a product for transcribing and managing virtual meetings and using the data as knowledge base for further processing.
Developed a voice command detector and parser for automation of tasks.
Worked on migration of data from Firestore DB to Postgres.
Worked on various fast paced Data Science and Engineering projects.
Mentored juniors.
Worked on an Audio indexer and search system using wav2vec2, whisper and Vector DB.
Developed a system to convert natural language query (NLQ) to query and narrate the results.
Implemented narration pipeline.
Performed prompt engineering to get the SQL query from ChatGPT API and run those SQL queries on PostgreSQL database to get results and narrate the results and display on a UI.
Refactored the code as per the Clean Code architecture.
Containerized the whole application with Docker for deployment.
Worked on creating a LLM based Natural Language Query system for displaying patient info on a dashboard using OpenAI API, Flask and PostgreSQL.
Created a Flask server for handling query requests along with UI in Flask using Jinja2 and integrating with Redshift database on AWS.
Worked on creating a system for optimizing ad budget based on Marketing Mix Modelling principle.
Implemented and optimized logic for MMM.
Created UI using Streamlit and greedy algorithm.
Worked on creating an ETL pipeline for ingestion of data from Treasure Data to Redshift DB on AWS.
Designed and maintained query pipelines for EDA using AWS Redshift and Treasure Data CDP.
Created a customer churn prediction model.
Worked on creating a video transcription and translation pipeline using Amazon Lambda, AWS translation and transcription services.
Created a web UI for accessing the service using Streamlit.
Coordinated with Data Engg, Platform Engg and SDE teams for implementing DAGs on Airflow for end to end MLOps pipeline.
Implemented a model for anomaly detection.
Scheduled periodic retraining and hyperparameter tuning for the model.
Implemented data ingestion pipeline from text extraction to saving in GCP BigQuery table in tabular format.
Implemented logic for getting the coordinates for the extracted address using Google Maps Geocoder API.
Extracted elevation from Google Maps Elevation API.
Implemented logic for finding the bedrock type from extracted text.
Created pipeline to save the metadata into a separate BigQuery table.
Worked on content search pipeline using Vertex AI Matching Engine.
Deployed the service on GCP.
Used BERT based question answer models for implementing Vertex AI Matching Engine Q&A based search.
Implemented keyword based search.
Created a solution for detecting and correcting skewed document scans.
Created and tested the Document AI processor on GCP.
Saved the data into BigQuery.
Extracted patents and performance entity extraction, document classification and knowledge graph generation using GCP Document AI.
Performed database management, data gathering, data labeling and data wrangling.
Created forecasting models on sales data using ARIMA.
Created documentation and reports.
Performed monthly and quarterly sales analysis.
Analyzed data using statistical techniques.
Performed visualization, region wise analysis and product sales assessment.
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