Mohit Nikhade
Development
Maharashtra , India
Skills
Data Science
About
Mohit Nikhade's skills align with Programmers (Information and Communication Technology). Mohit also has skills associated with IT R&D Professionals (Information and Communication Technology). Mohit Nikhade appears to be an entry-level candidate, with 6 months of experience.
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Work Experience
Full Stack Development Intern
Varroc
July 2023 - January 2024
- Spearheaded Warehouse Management System (WMS) development using HTML, CSS, JavaScript, and Flask (Python) for backend with MS SQL. • Reduced product storage and retrieval times, lowering labor costs and streamlining processes. • Collaborated with cross-functional teams, ensuring alignment with business goals and delivering effective solutions.
Data Engineer Intern
Varroc
July 2023 - January 2024
- Implemented advanced Time Series Forecasting models for machine production using LSTM, Prophet, and ARIMA. • Collaborated with cross-functional teams to gather domain knowledge and tailored models to specific use cases. • Demonstrated a strong understanding of data engineering principles, ensuring scalability and efficiency. Projects Lost and Found Web App (Institute Level) • Streamlined reporting and tracking of lost items within the institute. • Implemented user-friendly interfaces for reporting and updating lost items. Dark Patterns at E-Commerce Platforms • Developed an extension which detects dark patterns in E-Commerce platforms. • Fetches privacy policy of E-Commerce and based on rules in text file, it detects how much privacy policy data follows those rules. Brain Tumor Detection with 99% Accuracy • Developed a model achieving 99% accuracy in detecting brain tumors using MRI images. • Employed advanced image processing and deep learning algorithms. Heart Disease Prediction (with Abnormal Heartbeat) • Developed a model for predicting heart diseases, including abnormal heartbeats. • Applied machine learning techniques to enhance accuracy and reliability. Disease Condition Detection from Drug Reviews • Developed a model for disease condition detection from drug reviews. • Applied NLP techniques to extract insights from unstructured text data. Diabetes Patients Prediction • Developed a predictive model for identifying diabetes patients. • Analyzed medical data to enhance the accuracy of predictions. Image to Text Recognition • Implemented image to text recognition using computer vision techniques. • Applied OCR (Optical Character Recognition) for extracting text information from images. Audio Noise Detection (Deep Learning) • Implemented deep learning models for audio noise detection. • Enhanced the quality of audio signals by identifying and reducing noise.
Education
