Hi, My name is Adit Bhosle. I love Data. I specialize in Data Science, Data Analytics and Machine Learning. From extracting data, cleaning the mess, developing models, deploying models, constructing pipelines, creating dashboards, I do Everything!.
Well that was me on the technical level. On a Social front, I am a diligent, hardworking and motivated individual with a keen interest in real world problem solving. I am resourceful and innovative with experience working in team and solo environments. I like to rise to the occasion and always ready to test my own limits.
On a Personal front, I am travel enthusiast! When I get bored, Id rather get out of the house than watch Netflix. I like Football. I support Chelsea!
The KeelWorks Foundation is a 501(c)(3) approved nonprofit foundation dedicated to supporting upward mobility for everyone, but especially the economically disadvantaged. We support personal empowerment through peer supported leadership development, goal management, and mutual accountability.
Migrated MYSQL databases from AWS to Linode for cost efficiency.
Collaborated with cross-functional teams to develop and deploy a chatbot application, enhancing user experience.
Implemented monitoring and alerting systems to ensure the reliability and stability of the infrastructure.
Blackcoffer is enterprise software and analytics consulting firm based in India and Malta. At Blackcoffer, my roles included
Spearheaded the development of ETL pipeline to scrape comments of social media and generate Sentiment Analysis reports, boosting client's revenue by 164%.
Accelerated the implementation of a Django application to detect spelling errors in videos.
Proposed & Developed an end to end solution for analysis of market
Staged an ETL from AWS to Snowflake and utilized state of the art Snowflake Cortex and Snowflake LLM Arctic for Transliteration and Sentiment Analysis of market data.
This is an MLOPS Project. Empowering security through innovation: Real-time MLOps architecture for Credit Card Fraud Detection. Seamlessly orchestrated with Airflow, version-controlled with DVC, and hosted on GCP. Rigorous CI/CD with GitHub workflows ensures robust execution. Higly precise Random Forest classifier deployed, aided with MLFlow for model tracking, and FAST API for inferencing the model.
Unleashing synergy between text and image: A Multi-Modal Content Similarity Search Engine. Powered by CLIP embeddings stored in Pinecone, with a FAST API and Streamlit UI for seamless exploration. Elevating content discovery through advanced similarity metrics.
This is an ML Project. A Portugese Bank wants it clients subscribe to a new product. An ML model to predict whether a customer will subscribe to the new product or not is trained.
This is a BI Project. A comprehensive and interactive dashboard is created in PowerBI to discover and point out key statistics regarding flight delays and cancellations in the year 2015.
This is a Data Warehousing and Database modelling Project. A database model for a restaurant and its inventory is created from scratch. The process includes designing conceptual models, relational model, normalizations of models, running SQL scripts for analytical purposes, creating model in MongoDB model, running scripts in MongoDB and connecting SQL with python for visual performance analysis.
This is an EDA Project. Listings and Reviews of AirBNB hosts is provided on Kaggle. I have performed an Exploratory Data Analysis(EDA) to determing popularity of AirBNB hosts in Paris based on amenities, locations, reviews and ratings.
