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Kunal Shenoy

Data Scientist

Passionate about data and it's applications, I am proficient in Machine Learning, Deep Learning and Artificial Intelligence. Additionally, my efficient leadership skills enable me to drive teams towards success. I am always looking for opportunities to learn and grow in these areas and I am excited to connect with like-minded professionals in the industry.

Recent Achievements

Addressed First Year Students on the Benefits Joining Techcider Club

STME-NMIMS Navi Mumbai

July 2024

My Services

Providing practical knowledge in Data Science Technologies through hands-on projects, coursework and delivering data-driven solutions.

AI & ML Solutions

I provide robust solutions for Prompt Engineering and Generative AI problems.

Frameworks I use

Scikit-learn

Pandas

TensorFlow

Keras

Data Visualizations

Crafting insightful data visualizations to communicate complex information effectively

Tools I use

Matplotlib

Seaborn

Tableau

PowerBI

Computer Vision Solutions

I provide cutting-edge solutions for image and video analysis, object detection and recognition

Frameworks I use

OpenCV

TensorFlow OCR API

PyTorch

Scikit-Image

My Experience

Bringing extensive team management and campaign expertise, complemented by hands-on internships to enhance knowledge.

AI/ ML Intern

Unstop

June '24 - August '24

Working on several projects in-house using Vertex AI and ML Models to solve creative use cases.

Head of Techcider Club

STME

July '24 - Present

Leading Techcider for enhancing the coding culture and technical environment.

Head of Marketing

Public Relations, STME

July '23 - June '24

Adept at fostering event growth through strategic engagements.

Head of Administration

Entrepreneurship Cell, STME

October '23 - June '24

Proficiency in crafting strategic reports and meticulous administrative affairs for E-Cell organized events.

Regional Student Director

Unstop

September '23 - Present

Collaborating closely with Team Unstop to ensure heightened engagement within the student community.

Campaign Manager

Netra Campaign

January '24 - September '24

Orchestrating targeted initiatives, manage outreach, and drive engagement for Glaucoma Awareness

Data Science Intern

CodeClause

January '24 - February '24

Worked on Customer Segmentation, Age & Gender Detection Systems using Facial Analysis

Machine Learning Intern

CodSoft

September '23 - October '23

Worked on several Machine Learning projects. Performed deep Exploratory Data Analysis and Visualizations

My Projects

Providing practical knowledge in Data Science Technologies through hands-on projects, coursework and delivering data-driven solutions.

Stealth.AI

I have created an LLM-based chatbot that offers users to check plagiarism %, summarise their content and remove all AI-generated content from their PDF file uploaded. Researchers can use this tool for free.

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ChatterFlow.AI

I have created an LLM-based chatbot that offers Speech-to-Speech, Text-to-Speech and Speech-to-text capabilities. It also helps to improvise vocabulary and can be used in Educational Institutions.

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Smart Inventory Optimization using ML

I've created an inventory optimization ML model to categorize items into priority groups. Currently working on the frontend and APIs with real-time DB integration.

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Weather App

I have created a dynamic Weather App using HTML, CSS, and JavaScript, which retrieves real-time weather data from WeatherAPI, providing visitors to my website with up-to-date and accurate weather information.

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KrishiSankalp

Developed a dynamic plant disease application in a group of 4 which is powered by TensorFlow-Keras in Backend, Flutter in Frontend and deployed on Firebase for Google Solutions Challenge in solving UN (SDGs).

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Crop Prediction Model

ML-based solution will boost agricultural output to reduce hunger and malnutrition in rural India. The solution can also help farmers make informed choices, reduce their reliance on traditional methods, and promote modern agriculture.

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