Passionate Data Science graduate student with 3+ years' experience in enhancing Data transformation and building AI and advanced Machine and Deep Learning models for real-world problems. Proficient in deriving insights through visualization and statistical techniques to drive effective decision-making.
I'm a Data Science Graduate student
Hands-on professional experience in Data Wrangling of large datasets, building analytics dashboards, gaining insights to drive decision making
Research Assistant
University of Texas at Arlington Research Institute-Biomedical Division (Jan 2024 - Present)Master of Science in Data Science
University of Texas at Arlington (Aug 2023 - May 2025)Senior Systems Engineer
Infosys Limited, Chennai (Jan 2021- July 2023)Intern
Schneider Electric (May 2018 - June 2018)Bachelors in Electrical and Electronics Engineering
Anna University (Aug 2016 - May 2020)Research Assistant (Summer 2024)
University of Texas at Arlington Research Institute-Biomedical Division
Research Assistant (Spring 2024)
University of Texas at Arlington Research Institute-Biomedical Division
Insta Award (Infosys Limited)
Award for quick pick up and improving sales by optimizing API response time
Python Programming
Machine Learning models, Data Wrangling using NumPy, scikit-learn, Pandas, TensorFlow, PyTorch, FlaskR Programming
Regression analysis and visualization using ggplot2, dplyr, tidyr librariesSQL
Data Analysis using Relational Database Model System, Aggregate functions, Joins, SubqueriesTableau
Building Visualization dashboards for business tracking and analyzing marketing trendsThis paper describes my contributions to developing a machine learning model for predicting the pressure of a soft corrugated actuator used in a head and neck positioning system for cancer radiation therapy. It covers the methodologies employed in implementing a robust predictive algorithm designed to enhance the accuracy and reliability of the positioning system.
Journal: MDPI
View PublicationImplemented optimised Linear Regression algorithm using Spark SQL to predict House Prices of large scale dataset
Skills : SparkSQL, Scala, Linear Regression, Machine Learning
View ProjectPerformed Analytics from time series analysis and heatmaps on mperformance of trial program of E-Commerce AI shopping tool and provided recommendations to improve the trial program and identifying potential customers who are likely to convert to paid version
Skills : Python, Data Visualization, Data Wrangling, Count Plots, Logistic Regression modellling, Statistical Model Evaluation
View ProjectBuilt an end to end web application to predict chances of Stroke in patients based on health metrics retrieved from web form. Used real-time IEEE dataset and performed data analysis and modelling with different classification algorithms and predicted using most efficient classifier.
Skills : Python, Data Visualization, Data Wrangling, Count Plots, Logistic Regression modellling, Statistical Model Evaluation, Flask, HTML
View ProjectGained insights on correlation between variables that impact house price and modelled to predict house prices in an area
Skills : R, describe and summary function, tidyverse, ggplot2, heatmap, Linear Regression, Hypothesis testing
View ProjectBuilt an end to end web application using Tkinter to query and cancel booking details based on train and passenger information from a SQLite server
Skills : Python, Tkinter, SQLite
View ProjectML model using CNN and Computer Vision techniques to train and identify everyday objects.
Skills : Python, Numpy, matplotlib, argparse, Computer Vision2, Image Processing, CNN
View ProjectTrained and built a ML model using K-Nearest Neighbors and performed EDA to retrain using optimal K.
Skills: Python, KNN, scikit-learn, seaborn, pandas, numpy
View ProjectPre-processed real-time text data from social media student group chats and built a system using Collaborative Filtering techniques to match students with shared spaces with those who don't based on preferences
Skills : Python, Pandas, NumPy, Unsupervised Learning-Cosine Similarity
Issued: Jan 2024
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Currently Ongoing