Kunal Manjare

Education

MS in Computer Science, University of Utah, Utah, USA (GPA: 3.3/4) 2022 - 2024
B.E in Electronics & Telecommunications, University of Pune, Pune, India (GPA: 3.1/4) 2018 - 2021

Statistical Data Analyst | Utah, USA | Jan 2024 - Present

Collaborated on school-based mental health screening initiatives, contributing to the project’s success.
Proficiently cleaned, coded, and executed statistical analyses using Python and R.
Played a key role in graphing and interpreting ongoing aggregate mental health trends.

Research Assistant (Prof. MuZhang) | Utah, USA | Jan 2023 - Aug 2023

Uncovered security vulnerabilities in software systems using diverse fuzzing techniques.
Leveraged Slurm on a high-performance computing cluster for efficient fuzzing job management.

Software Developer | Remote, India | Apr 2021 - Mar 2022

Developed dynamic, user-friendly e-commerce websites and web applications.
Led a team of 7 developers, ensuring technical feasibility and timely project delivery.

Data Science Intern | Pune, India | Feb 2019 - Jul 2019

Led the implementation of a bakery sales demand forecasting model leveraging Random Forest.
Applied advanced ensemble techniques, including feature bagging, to optimize predictive capabilities in model optimization and deployment.

Link for the Dashboard
Utilized Python, Pandas, NumPy, and Scikit-learn to clean, manipulate, and model COVID-19 data, employing machine learning algorithms such as linear regression and random forest regressor for predictive analysis.
Created an interactive Tableau dashboard to visualize COVID-19 trends and insights, enhancing data-driven decision-making by querying and manipulating data stored in databases using SQL.

Link for the Dashboard
Created a comprehensive dashboard using Tableau to analyze electric vehicle data, including metrics on vehicle usage, Average Electric Vehicle Range, and performance trends.
Leveraged Tableau’s advanced data visualization capabilities to provide actionable insights and support decision-making processes related to electric vehicle infrastructure and adoption.

GitHub Repo
Employed Python to streamline meteorological data by converting diverse formats into a unified, accessible structure for visualization. Additionally, crafted scripts to effectively minimize noise within the data.
Innovatively implemented Python techniques to generate interactive 3D visualizations of hurricanes, incorporating key parameters such as windspeed, pressure, and precipitation. Pioneered a novel visualization technique to accentuate the hurricane’s eye and its surrounding eyewall for enhanced clarity.

GitHub Page
Developed a web‑application to display rankings, player performance and represent ball‑by‑ball visualization using D3 framework of JavaScript. Preprocessed the data to parse multiple JSON files to extract and combine information to create my own objects.
Two formats of data are used, combined information from JSON for the ball‑by‑ball visualization while the information from CSV is used for the ranking history of the teams.

Designed an algorithm to classify raw and ripened tomatoes by using Region‑based Convolutional Neural Network (R‑CNN) and DarkNet‑53,thereby achieving classification accuracy of 90% and 94.67% respectively.
Created a coordinate measurement system that generated 3D coordinates of the tomatoes in real‑time using Python‑ OpenCV. Constructed a functional robotic arm integrated with a three‑jaw gripper to precisely cut a ripened tomato.

Served as the Secretary of the Electronics Engineering Student Association (EESA) from 2017 to 2018, contributing to the growth and development of the organization.
Attained the 1st position in a competitive National Level Project Competition hosted by ISB&M College of Engineering, showcasing exceptional skills and innovation.