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Strong engineering professional with a Master of Technology (M.Tech.) in Software Engineering from VIT University, Vellore, focused in Machine learning
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Finnovation Tech Pvt Ltd
Data Scientist
June 16, 2026 – Present
Fuzzy-String-Matching
August 22, 2019 – July 6, 2023
Fuzzy-String-Matching — GitHub repository
View ProjectIntelligent-document-processing-system-
May 17, 2019 – May 22, 2019
Multi Class Document Classification
View ProjectPredicting-Hospital-Readmissions-From-Diabetes-Dataset
May 15, 2019 – May 15, 2019
In this project I will demonstrate how to build a model predicting readmission in Python using the following steps data exploration feature engineering building training/validation/test samples model selection model evaluation
View ProjectSentiment-Analysis-of-IMDB-Movie-Reviews
May 8, 2019 – May 8, 2019
The IMDB movie reviews dataset is a set of 50,000 reviews, half of which are positive and the other half negative. The dataset is available online and can be either directly downloaded from Stanford’s website or obtained by running in a terminal (Linux): wget http://ai.stanford.edu/~amaas/data/sentiment/aclImdb_v1.tar.gz Then, we need to extract the dowloaded files. You can once again either do it manually or by running: tar -zxvf aclImdb_v1.tar.gz
View ProjectPredicting-the-on-site-of-Diabetes-using-Keras-using-
May 7, 2019 – May 20, 2019
I collected the Pima Indians onset of diabetes dataset from UCI Machine Learning repository,It describes patient medical record data for Pima Indians and whether they had an onset of diabetes within five years, As such, it is a binary classification problem (onset of diabetes as 1 or not as 0). I built my first neural network using keras which takes numerical input and numerical output Number of Instances: 768 Number of Attributes: 8 plus class For Each Attribute: (all numeric-valued) 1. Number of times pregnant 2. Plasma glucose concentration a 2 hours in an oral glucose tolerance test 3. Diastolic blood pressure (mm Hg) 4. Triceps skin fold thickness (mm) 5. 2-Hour serum insulin (mu U/ml) 6. Body mass index (weight in kg/(height in m)^2) 7. Diabetes pedigree function 8. Age (years) 9. Class variable (0 or 1) Steps I followed in building a neural network using Keras: 1)Load Data I have loaded the file directly using the NumPy function loadtxt(). There are eight input variables and one
View ProjectConvolutional-Neural-Network-to-classify-Handwritten-Digits
May 2, 2019 – May 2, 2019
Convolutional Neural Network to classify hand written digits with Tensorflow’s Keras API and achieved an accuracy over 98%
View ProjectPrediction-of-House-Price-using-Decision-Tree
May 2, 2019 – May 2, 2019
n this project, I developed and evaluated the performance and the predictive power of a model trained and tested on data collected from houses in Melbourne. Once I got a good fit, I used this model to predict the monetary value of a house located at the Melbourne’s area. A model like this would be very valuable for a real state agent who could make use of the information provided in a daily basis.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic in nature, indicating a strong self-driven learning approach. However, the lack of team-based projects or detailed descriptions of collaboration makes it difficult to fully assess cultural fit. The current role as 'Data Scientist' at Finnovation Tech Pvt Ltd, though recent, aligns with the target role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, and there are no completed psychometric or English tests to provide insights into communication or work attitude.