An Engineer with a not so subtle Knack for Programming.
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CyberSecurityAgentApp-Backend
August 26, 2025 – August 29, 2025
CyberSecurityAgentApp-Backend — GitHub repository
View ProjectSales_Overview_TableauDashboard
December 8, 2023 – December 8, 2023
A Repository for the Sales Overview Dashboard that I created for a fictional store, using the superstore dataset
View ProjectIndian_Coin_Classification_Using_CNN
December 21, 2021 – April 13, 2022
This repository is part of a research study in which, A convolution neural network(CNN) is developed from scratch for the classification of Indian coins by their denomination. The final train accuracy reached is 91.38% and the best validation accuracy is 90.62%
View ProjectAdvance_Regression_Model_Stacking_Kaggle
August 31, 2020 – December 28, 2021
This Project is my Entry to a Kaggle Competition 'House Prices: Advanced Regression Techniques'. The aim was to rank in the Top 5% in the Leaderboard, I achieved this rank by Using Model Stacking with Meta-Modelling and my final score was RMSLE = 0.0726 and I Ranked 277th out of 5130 Submissions
View ProjectA_Classification_Model_To_Predict_Blight_Compliance
August 23, 2020 – August 26, 2020
A Binary Classification Problem Optimized For AU-ROC Curve,. From Data Cleaning to Model Validation, Classifying whether a blight ticket will be paid in time or not, Trained 3 different Classifier on a Highly imbalanced Data provided by Detroit Open Data Portal with around 160000 Tickets.
View ProjectMachine_Learning_Algorithms_from_Scratch
August 8, 2020 – January 4, 2022
Machine Learning Algorithms from Scratch. Explanation of the mathematics behind various ML Algorithms coupled with a Numpy only Implementation of the models. The Aim is to Demystify everything from Linear Regression to Deep Neural Networks
View ProjectExploratory_Analysis_On_Steam_Game_Statistics
August 4, 2020 – August 23, 2020
An Exploratory Analysis and data visualization project on Steam Gaming Statistics Datasets on Kaggle, To uncover trends in the data and answer the research question : " To Determine the relation if any between the rating of a game and its market Success (Measured as Hours the game was played) "
View ProjectFace-and-Text-Classifier-Using-Python
July 12, 2020 – July 13, 2020
A simple approach to computer vision for differentiating between text and faces in an image using Opencv, Tesseract-OCR with python Wrapper Pytesseract and Pillow.
View ProjectCultural Fit Analysis
The candidate's project portfolio demonstrates a strong interest in data science and machine learning, aligning well with a Data Scientist role. The diversity of personal projects, from fundamental algorithm implementations to Kaggle competitions and real-world problem-solving (e.g., blight compliance), suggests a curious and engaged individual. However, the lack of team-based projects or professional experience makes it challenging to fully assess cultural fit in a collaborative work environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and self-driven approach to learning and applying data science concepts. The focus on 'from scratch' implementations suggests a desire for deep understanding. However, without formal work experience or psychometric test results, it is difficult to assess specific soft skills like teamwork, stress handling, or communication clarity in a professional setting.