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Shrishti Hore
Data Analyst | Google Women Techmakers | Fiverr | EC-Council | Quantium | SIH'20 | Github | PowerBI | Tableau | Python | SQL | Tensorflow | Keras | GCP | CRM | Alteryx
About
Shrishti Hore is a highly skilled Data Analyst with expertise in Tableau, Python, R, MS Excel, Power BI, SQL, MongoDB, DBMS, Machine Learning, ZOHO CRM, HTML, CSS, GitHub, Data Mining, Data Cleaning, Data Wrangling, Data Visualization, Data Science, Business Analytics, Cryptocurrency, Finance, Statistics, and Econometrics. Currently working at EC-Council as a Data Analyst, Shrishti has 1.69 years of relevant experience in the field. Shrishti’s past experience includes working as an AI Engineer Intern at heu.ai, where she implemented machine learning and deep neural network topologies while managing a dataset of 1900 untrimmed videos from data cleaning and pre-processing to training and testing the image processing pipeline model. She also designed and developed two computer vision projects, including Weapons Detection in Real-time Surveillance Cameras and Anomaly Detection in Surveillance Cameras, which utilized Convolutional Neural Networks, Keras, and Tensorflow. Additionally, Shrishti has worked as a Research Intern at Stir Research, where she performed data cleaning and exploration using MS Excel on given electromagnetic, mechanical, and electrochemical data. She created an in-depth data analysis with data visualizations in Python using Numpy, Matplotlib, Pandas, Scikit-learn, Seaborn, and Keras for Rotational speed, Welding speed, and Axial Force leading to a decrease in operating costs of the automation system. She also developed an Artificial Neural Network model and used Time series Analysis to predict corrosion resistance using the provided data. Shrishti holds a Bachelor's degree in Electronics Engineering from Atharva College of Engineering (ACE). She has also completed her Higher Secondary education from Nagindas Khandwala College and her Primary and Secondary Education from St. Joseph's High School. Shrishti’s extensive tech stack includes SQL, ML, Neural Networks, Python, Keras, AI, Data Scientist, MongoDB, Computer Vision, Image Processing, Tensorflow, Research Scientist, Seaborn, Scikit, and Pandas. With her exceptional skills and experience, Shrishti is a valuable asset to any organization looking for a Data Analyst who can effectively manage and analyze complex data sets, develop innovative solutions, and provide actionable insights.
Education Overview
• atharva college of engineering
• nagindas khandwala college
• st. josephs high school
Companies Overview
• heu.ai
• stir research
• takenmind
• design code
• codechef campus chapters
• paradigm of life
Experience Overview
3.1 Years
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