FALGUNI GONGAN
Dombivali
Summary
Aspiring data scientist with a strong foundation in Python, SQL, and machine learning. Skilled in data analysis, visualization, and building predictive models through academic projects. Eager to apply analytical skills to solve real-world problems and drive data-driven decisions.
Overview
1
1
Certification
Work History
Social Media Manager
Avalon Collge Fest
Nerul
- Developed and uploaded educational video on Bitcoin and NFTs to college social media platform, increasing student awareness.
- Managed a hackathon, overseeing logistics and participant engagement.
Education
Bachelor of Computer Engineering -
Terna Engineering College
Navi Mumbai08-2024
Skills
- Programming: Python, SQL
- Libraries and tools: NumPy, Pandas, Matplotlib, Scikit-learn, Seaborn
- Data Visualization: Tableau, Power BI
- Machine learning: Supervised and Unsupervised learning, Regression, Clustering
- Mathematics and Statistics: Probability, Linear algebra, Hypothesis testing
- Version Control: Git, GitHub
- Analytical Thinking
- Attention to detail
- Adaptibility
- Communication
- Microsoft Exel
Certification
- Utilized advanced SQL techniques, including joins, views, transactions, and stored procedures, to handle complex queries and ensure data integrity.
Languages
Hindi
First Language
English
Proficient (C2)
C2
Japanese
Proficient (C2)
C2
Historical Stock and Revenue Data Analysis
- Utilized Pandas for data manipulation and analysis of historical stock and revenue data, ensuring accurate data preprocessing and transformation.
- Built an interactive dashboard using Plotly for data visualization and BeautifulSoup for web scraping, providing dynamic insights into stock trends and revenue performance.
Movie Recommender System
- Utilized Python, Pandas, and NumPy for data preprocessing and manipulation of the MovieLens dataset.
- Implemented content-based filtering using Scikit-learn and Cosine Similarity.
- Engineered a recommendation model to enhance prediction accuracy and user satisfaction.
- Deployed the application using Flask, integrating dynamic movie suggestions into a user-friendly web interface.
Hand Controlled Fruit Inspection Drone
- Designed and developed a hand-controlled drone using Arduino, Python, and OpenCV to inspect fruits for quality and defects.
- Integrated computer vision techniques for fruit detection and quality analysis, leveraging CNN (Convolutional Neural Networks).
- Programmed the drone’s flight system using embedded C and optimized performance for stable and responsive operation.
- Conducted testing and evaluation to ensure the system identified defects with high accuracy and consistent results.
Timeline
Social Media Manager
Avalon Collge Fest
Bachelor of Computer Engineering -
Terna Engineering College
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