Projects

A mix of academic, personal and professional projects. Click on the titles to visit the respective Github repository.

Wordle Clone

Python (steamlit)

JUN’22 - JUL’22

A Wordle clone with a social twist, hosted on streamlit for easy access.

NOTAM Mapper

Python (folium, re, steamlit)

JUN’22 - JUL’22

Built and deployed a web app to process notice to airman (NOTAM) documents and mark events on an interactive map.

University ROI

R

JAN’22 - MAY’22

Applied econometric and statistical analysis along with data visualization in R to examine factors affecting average income after graduation in the United States.

Big Word Game

Python (Google Colab)

JAN’22

A Wordle clone with a social twist, built using Google Colab for easy access.

Research statistician, national level survey

R, Tableau

Jan’22

Carried out statistical analysis and visualization of survey (Likert scale) data using R and Tableau for "A National Semi-Qualitative Survey/Study on the Applicability of Social Prescribing in The United Kingdom during the COVID-19 Pandemic" conducted by the University of Dundee, Scotland.

Programming assistant, Ph.D. project

Python (PyQtGraph)

DEC’21

Built a real-time graphing program in python to plot multiple parameters from a continuously updating data file as part of a Ph.D. research project on "Robotic Drilling Machine Digital Twin" at the University of Limerick, Ireland.

Ireland house pricing, capstone project

Python (folium, keras, nltk ,scikit-learn)

SEP’21 - DEC’21

Led a team through an end-to-end machine learning project, analyzed and visualized Ireland housing data, employed multiple approaches to predict house prices. Placed first in module Kaggle competition.

Climate change research project

Microsoft Power BI, R

SEP’21 - DEC’21

Conducted research on feasibility of reducing pollution by introducing electric vehicle taxis. Performed data cleaning with R, visualized data and presented data-driven insights with Power BI.

HEART ARRHYTHMIA DETECTION

Excel , R, Python, SQL, Tableau

AUG’20 - DEC’20

Built and optimized a deep learning model to detect heart arrhythmia from ECG readings with an accuracy of 91%.
Integrated model into GUI application using R.
Presented paper in an international conference and published findings in an international journal.

AUTOMATED KML GENERATOR

Python (re, Tkinter)

OCT’20 - NOV’20

Designed an application to generate keyhole markup language files from coordinates mentioned in a Notice-To-Airman document.
Published application on Github.

HATE SPEECH MODERATION

Excel, Python (nltk, re, Tkinter, scikit-learn)

AUG’20 - DEC’20

Constructed a hate speech detection system using TF-IDF values from a twitter dataset, achieving an accuracy of 95%.
Integrated model into a basic chat application, which replaces the offending message.

PNEUMONIA DETECTION SYSTEM

Python (opcv-python, tensorflow-gpu, Tkinter, scikit-learn)

AUG’20 - DEC’20

Utilized the tensorflow deep learning framework to build a convolutional neural network to detect pneumonia from x-ray images with an accuracy of 92.98%.
Deployed model into a GUI application for easy use.

RAINFALL PREDICTION FOR THE STATE OF MAHARASHTRA

Apache Spark, R, MATLAB, Tableau

JAN’20 - MAY’20

Generated a rainfall prediction model from a large (~ 3.6 million data points) dataset, accurate to within 2 mm using Apache Spark, integrated model into GUI application using R.
Created promotional poster and video for documentation.
Published a research paper in an international journal.

REMOTE TEMPERATURE MONITORING SYSTEM

Tableau, Arduino, ThingSpeak

JAN’20 - MAY’20

Calibrated sensors and derived voltage-temperature relationship using Tableau.
Programmed multiple Node Microcontroller units paired with individual temperature sensors to transmit temperature data from separate locations to a central ThingSpeak server.
Also created the circuit wiring diagrams and video for documentation.

DEMONSTRATION OF GENETIC ALGORITHM

Processing

AUG’19-DEC’19

Designed a scenario and wrote a program in processing which utilized a genetic algorithm to solve it.
This project was created with the goal of helping fellow peers and future students understand the concept.

FACIAL RECOGNITION SMART ELEVATOR SYSTEM

Arduino, Python (opencv-python)

JAN’19-MAY’19

Conducted a survey on campus on the effectiveness of “elevator assistants” found across India.
Created a database of recognized faces and generated a corresponding .yml file.
Integrated database into a python program which processed video input, detects and recognizes faces.
Also implemented a demo elevator model using Arduino.
Published a research paper in an international journal.
Shot and edited video for documentation.

VISION BASED FIRE DETECTION SYSTEM

Arduino, Python (opencv-python)

JAN’19-MAY’19

Created a database of multiple images of fire, generated an .xml file.
Integrated database into a python program which processed video and activated a sprinkler system.
Created a demo sprinkler model with an Arduino and relay circuit.
Shot and edited video for documentation.

STUDY ON DEGREE OF POLYNOMIAL MODEL FOR MOOD PREDICTION

MATLAB, Python

AUG’19-DEC’19

Collected calorie data using various fitness tracking apps.
Analyzed the fit of multiple models to this data using MATLAB curve fitting tool.
Integrated model into a python program to predict mood based on calorie burn.

SUDOKU SOLVER USING BACKTRACKING

C++

AUG’19-DEC’19

Wrote a program in C++ to solve a well-known puzzle using a new algorithm studied in class.
Included a demo program which pauses in between steps to demonstrate algorithm working.

DC MOTOR PID CONTROLLER

MATLAB Simulink, Proteus

JAN’19-MAY’19

Derived the transfer function of a DC motor system and a PID controller on paper.
Modeled the system and controller in MATLAB Simulink.
Conducted stability analysis in MATLAB.
Modeled and simulated the PID controller separately in Proteus.

BAND PASS FILTER FABRICATION

Proteus

AUG’18-DEC’18

Constructed model of band pass filter in Proteus.
Soldered components (through hole) on general PCB.
Tested and presented using laboratory equipment (oscilloscope).

ECG BASED HEART RATE CALCULATOR

MATLAB

AUG’18-DEC’18

Wrote a program in MATLAB to calculate heart rate by examining R-peaks in a given ECG signal.

Publications & Conferences

About

Recently completed my M.Sc in Business Analytics from the University of Limerick, Ireland.

The project-heavy nature of my degree has reinforced my communication, project management and team leadership skills, while also giving me the opportunity to pick up invaluable reporting and presentation skills. Completing multiple projects across so many different fields has also exposed me to multiple programming languages and analytical applications. Participating in the annual college festivals gave me field experience handling media and design for multiple teams as well.

During my time in high school, I managed to explore, develop and inculcate my interests in athletics and media, leading to me representing the school at multiple inter-school and inter-state sports events, and also my role as the “go-to guy” for audio, video and image work. I was also an avid toastmaster, representing my local club at various competitions.

Tinkering with computers from a young age eventually led me to become the computer enthusiast I am today. I like to spend my evenings running, playing videogames, or a combination of both.

Skills

Programming
&
Development

Analytics
&
Modelling

Media
&
Design

Arduino AutoCAD Adobe Audition, Audacity
C, C++ GRETL Adobe Photoshop
Julia MATLAB Adobe Premier Pro, Sony Vegas
PLC (Ladder Logic) Proteus Adobe Lightroom
Python Tableau Adobe Spark Post
R Programming ThingSpeak Snapchat Lens Studio
SQL Latex

Work Experience

Education Counsellor,
GradRight

Aug'22 - Dec'22

Provided overseas education consultation services to prospective students wishing to pursue higher education in Ireland with a focus on the University of Limerick.

Academic Tutor,
UL Disability Support Services

Mar'22 - May'22

Tutored students for the MS4034 (Applied Data Analysis) and MA4114 (Applied Business Statistics) modules at the University of Limerick.

Computer Vision Intern,
Bayanat Airports Engineering & Supplies

Feb'21 - Jun'21

Designed and developed a system to detect Foreign Object Debris (FOD) on airport runways without human intervention, and integrated with existing CCTV systems.

Data Science Intern,
Exposys Data Labs

JUN'20 - Jul'20

Handled multiple data processing, classification and visualization tasks using R and Tableau for clients under the supervision of senior members of the company.

Other Positions

Event Coordinator,
VIT Social Welfare & Development

JAN'19-MAY'19

Coordinated a team of student volunteers to spread awareness of government mobile applications and electronic waste among residents in rural areas in the city. Also collected said waste and delivered it to an NGO for safe disposal.

Event Manager (Footloose),
VIT Melange/Vishwakarandak

JAN'18-MAY'19

Coordinated with a team to source potential participants, judges and sponsors for college and department level dance contest.

Department Media Manager

AUG'18-MAY'20

Responsible for creating a multitude of media such as posters, movies, audio mixes for various department level events and competitions.

Team Creative Head

2014-2017

Worked with teams for various events for school performances, such as stage lighting work, audio mixes for dance, script writing and sound manager for hosts.

Active Toastmaster

2012-2015

Was an active member of a Gavel Club under Toastmasters International, and undertook various positions which involved technical setup, event organizing, scheduling and general coordination

Education

M.Sc. Business Analytics

2023

University of Limerick, Ireland

QCA: 3.48/4 (First Class Honors)

B. Tech. Instrumentation and Control
(With Data Science) Engineering

2021

Vishwakarma Institute of Technology, Pune

CGPA 8.57/10

HSC (High School)
CBSE

2017

Physics, Chemistry, Mathematics, Computer Science

Aggregate 75%

Coursework

  • Digital Futures Lab, Business Simulation

  • Data Governance & Ethics, Applied Econometrics for Business, Digital Organisations, Markets & Consumers, Applied Big Data & Visualisation, Leadership, Influence & Change

  • Data and Analytical Decision Making, Database Systems in Practice, Machine Learning & Applications, Project Management in Practice, Statistics for Data Analytics

  • Deep Learning, Engineering Project Management, Natural Language Processing

  • Artificial Intelligence, Big Data Analytics, Image Processing and Pattern Recognition, Internet of Things, Introduction to Algorithms, Machine Learning, Machine Vision and Robotics, Operating Systems

  • Control Systems, Data Structures, Discrete Structure and Graph Theory, Electronic Circuits, Field Instrumentation, Industrial Automation, Microprocessor and Microcontrollers, Probability & Statistics, Sensors and Transducers, Signal Processing

  • Advanced Calculus, Applied Physics, Biomedical Technology, Computer Programming, Electrical engineering, Electronic Devices, Engineering Development, Engineering Foundations, Engineering Mechanics, Linear Algebra