/> 
IdentityEducational Background: She completed a Data Scientist and Business Analytics program at the Boston Institute of Analytics and was pursuing a B.com degree from Mahendra Laxman Mhatre Degree College, Mumbai University.
Professional Experience:
I have been a data science trainer at Infobyte Career Institute since September 2023. Responsibilities include teaching Python, Machine Learning, Deep Learning, Computer Vision, and tools like PowerBI and Tableau.
I served as a Machine Learning Intern at Prodigy InfoTech from August 2023 to September 2023. I contributed to developing ML models for data preprocessing and analysis and Python programming and data visualization tasks.
I worked as a data scientist at Cognifyz Technologies from July 2023 to August 2023. I leveraged advanced analytics for data-driven decision-making, developed ML models for sales forecasting, and presented insights through data visualization.
Project Experience:
I led a project on insightful home selling price forecasts using advanced regression techniques, demonstrating expertise in data preprocessing, model selection, and evaluation.
She developed RoleFitAnalyzer, an NLP tool for job matching, showcasing proficiency in Natural Language Processing.
I created a Python Tkinter Joke Fetcher project, demonstrating skills in Python programming, GUI development, and API integration.
Skills Proficiency:
Excel in data manipulation and analysis.
Proficient in databases, including SQL and PostgreSQL.
I am skilled in programming languages like Python and have expertise in libraries like NumPy, Pandas, sci-kit-learn, TensorFlow, NLTK, and OpenCV.
I am experienced in data visualization tools like Matplotlib and Seaborn, along with Power BI for data modelling and analysis.
Specialization Areas:
Specializes in machine learning, including supervised, unsupervised, and reinforcement learning techniques.
Competent in computer vision and natural language processing domains.
Final Model Choice Experience:
She has demonstrated the ability to make informed decisions based on model evaluation results, such as selecting the Random Forest model for the home selling price forecast project.
Personal Traits:
We are driven by innovation and data-driven solutions.
Strong communication and presentation skills, essential for teaching and collaborating with teams.
