Python, SQL, Tableau, Machine Learning, AI, Data Analyzing and manage

DESHRAJ RAMESHKUMAR JOGIYA

+1-480-***-**** **********@*****.*** https://www.linkedin.com/in/deshrajjogiya https://github.com/Deshraj-Jogiya Objective

Highly motivated and detail-oriented data professional seeking an opportunity to leverage my skills in machine learning, data analysis, and visualization to drive business growth and inform strategic decisions. With a strong background in developing algorithms and models to extract insights from complex data sets, I am excited to contribute to a dynamic team and utilize my expertise to optimize business outcomes. Skills

Framework and Libraries: Spring boot, React, React Native, Flask Programming Languages: Python, SQL, Java

AI/ML: Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, LLMs (Large Language Models) Communication: Strong ability to facilitate workshops and meetings with stakeholders to ensure project objectives are met. Experience and Certification

Web Developer Intern Feb 2022 - Jun 2022

• Designed and developed a bespoke e-commerce website for a local fruit seller shop, leveraging HTML, CSS, and JavaScript to create a seamless online shopping experience for customers.

• Enhanced customer engagement by 43% through the implementation of responsive design techniques, ensuring the website was accessible and user-friendly across various devices and platforms.

• Streamlined online ordering and payment processes, collaborating closely with the fruit seller shop to understand their business needs and delivering a website that increased their online sales and revenue. Accenture North America's Data Analytics and Visualization May 2024 - Jun 2024

• Completed a simulation focused on advising a hypothetical social media client as a Data Analyst at Accenture.

• Cleaned, modelled and analyzed 7 datasets to uncover insights into content trends to inform strategic decisions.

• Prepared a PowerPoint deck and video presentation to communicate key insights for the client and internal stakeholders. Projects

Extending STEM across ASL Jun 2023 - Present

• Presented a novel model for a unified platform using Python, TensorFlow, and Kera’s: Designed a comprehensive platform to bridge the gap between Sign Language and STEM education, enabling seamless access for both ASL and non-ASL users.

• Proposed a unique feature for non-ASL users to learn direct signs for specific words: Developed a search functionality that allows non- ASL users to access a vast database of signs, promoting learning and understanding of Sign Language in STEM fields.

• Introduced Sequential Length-based Real-Time Sign Recognition for ASL users: Implemented an innovative feature that enables ASL users to correct specific portions of signs in real-time, rather than relearning entire signs, thereby saving time and increasing efficiency.

• Aimed to increase accessibility and user engagement for both ASL and non-ASL users in STEM education: Envisioned a platform that fosters inclusivity, promotes learning, and breaks down barriers for Sign Language users in STEM programs. AI-ML Data Science Simulation Project Jan 2024 – Jun 2024

• Designed and Implemented a Scalable Data Automation System: Utilized Python to generate data for a company with 5 branches across different states, automating daily sales data ingestion from each branch to a centralized dataset, scheduled to run every day at 10:15 PM in each branch's time zone, and simulating an ETL process to ensure data consistency and integrity.

• Managed and Analyzed Data using SQL and Created Interactive Dashboards with Tableau: Utilized SQL to centralize and manage inventory data for the company, ensuring data accuracy and enabling informed business decisions. Then, used Tableau to create interactive and informative dashboards, providing clear and detailed insights into day, week, and month sales by branch and product ID, enabling the company to make data-driven decisions and identify trends and opportunities.

• Built and Deployed Machine Learning Models for Future Sales Predictions: Simulated RMSE and MAE metrics to evaluate the performance of ML models, then used these models to predict future sales for each branch and product by next week and month, providing actionable suggestions to the company to inform their business strategy and drive growth. Stay Aware of Branch Jul 2021 - Dec 2021

• Designed and developed a React Native Android application, bridging the communication gap between parents and schools, resulting in a 40% increase in parent involvement.

• Streamlined administrative tasks by 25% through the implementation of integrated progress reports and attendance monitoring features, enhancing overall school efficiency.

Chef at Gathering Nov 2022 - Mar 2023

• Built a React application that simplified event organization and professional catering arrangements, reducing coordination time by 50% and enhancing overall event management efficiency.

• Curated a platform for chefs to showcase their specialties, resulting in a 20% increase in chef bookings and driving business growth through effective talent promotion.

Solid Object Detection and Identification using Image Processing May 2020 - Dec 2020

• Developed a robust algorithm using Python and YOLO to detect and recognize traditional shapes with 98.97% accuracy: Successfully classified over 10,000 images, demonstrating expertise in image processing and object detection techniques.

• Implemented contour-based techniques to detect shapes, and enhanced accuracy through thresholding and noise removal: Utilized advanced image processing methods to refine the algorithm, resulting in improved shape recognition and a 33% increase in traditional visualization capabilities.

• Received recognition for excellence in image processing techniques from academic and professional communities: Garnered acclaim for innovative approach and significant contributions to the field of image processing and object detection. Education

Master of Science Information Technology Aug 2022 - May 2024 Arizona State University, Tempe, AZ, USA GPA: 4.0/4.0 Bachelor of Technology Computer Engineering Aug 2017 - May 2021 Institute of Advanced Research, Gandhinagar, GJ, IND GPA: 7.8/10.0

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