I am a skilled professional combining academic learning with real-world experience in data analytics, software development, and digital marketing. Currently studying for an MSc in Big Data Analytics at Birmingham City University, building upon a Bachelor's degree in Computer Applications. Proficient in various programming languages and tools, with a strong track record in projects involving data analysis, web development, and marketing.

-- Connect with me on LinkedIn (@hello-dinesh).

GitHub

GitHub

05/2024 – Now
Currently, Working on this project.

02/2024 – 05/2024
Used both Classification (Logistic Regression, Random Forest Classifier, and Gradient Boosted Tree Classifier) and Clustering (K-means and Gaussian Mixture Model) using Apache Spark to predict Diabetes. Also, performed graph analysis using Neo4j on Catch the Pink Flamingo dataset.
GitHub

02/2024 – 05/2024
Performed twitter trends analysis, sentiment analysis, and LDA topic modeling. Performed Graph Analysis using Facebook Network dataset. Performed News Article Analysis sourced from APIs, used LDA and LSA topic modeling, sentiment analysis using TensorFlow and Keras. News Article Category Prediction using Logistic Regression.
GitHub

02/2024 – 05/2024
Used Genetic Algorithm to solve the travel salesman problem on dataset having multiple city’s locations.
GitHub

10/2023 – 12/2023
Used R Programming to perform dataset preprocessing, exploratory data analysis, time series analysis, regression analysis, and K-means clustering.
GitHub

10/2023 – 12/2023
Used SQL & MySQL and implemented two database optimization techniques: indexing and partitioning.
GitHub

10/2023 – 12/2023
Used R Programming to answer relevant statistical questions using Amazon UK dataset and implemented different methods like Correlation Analysis, Regression Analysis, and Predictive Analysis.
GitHub