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crime_data_analysis_pipeline

Engineered a robust data pipeline using Google Cloud Platform (GCP) services like Cloud Storage, Compute Engine, BigQuery, resulting in a 30% decrease in data processing and analysis time of the San Francisco Crime dataset.Designed an interactive dashboard using Looker Studio, empowering stakeholders to explore crime data visually.

edge-detection

educational_resource_planning_dashboard

Created Python scripts for data loading, integration, manipulation, and filtering, resulting in a 30% decrease in data processing time. Developed an interactive dashboard that allowed HOD to easily access and analyse data, resulting in a 40% increase in efficiency when making data-driven decisions.

image-recognition-of-handwritten-digits

Developed a Naive Bayes Multinomial Machine Learning model which can recognize hand written digits with 84% accuracy.

laptop-price-predictor

Implemented RandomForest model which predicts the price of the laptop with an R2 score of 88%.

mental-health-analysis-in-tech-industry

This project utilizes data analysis and visualization tools to examine mental health survey data within the tech industry. It aims to uncover insights regarding employees' experiences, perceptions, and challenges related to mental health, with the goal of promoting a more supportive and inclusive work environment in the technology sector.

movie-review-sentiment-analysis

Designed a Sentiment Analysis model using Support Vector Machine(SVM) model and NLP which predicted movie review sentiments with accuracy and precision score of 94%.

real-time-fitness-data-pipeline

Curated efficient real-time data pipeline using Amazon Web Services (AWS) and Kafka to process fitness data. Automated table schema creation using AWS crawler on S3 bucket to run analysis without loading to external database. Established SQL query to run ad-hoc analysis on the database.

sf_crime_data_analysis_pipeline

Engineered a robust data pipeline using Google Cloud Platform (GCP) services like Cloud Storage, Compute Engine, BigQuery, resulting in a 30% decrease in data processing and analysis time of the San Francisco Crime dataset.Designed an interactive dashboard using Looker Studio, empowering stakeholders to explore crime data visually.

song-database-api

Built a REST API in python using flask as back-end where main building block is resource.

spam-enigine

Implemented Logistic Regression model to filter span emails with accuracy of 92% and precision of 95%

youtube_engagment_eda

Created interactive Power BI dashboards using YouTube API data to analyse user behaviour, trends & statistics as a part of ad-hoc analyses, resulting in actionable insights for content strategy and a significant boost in advertising ROI for advertisement agencies.