Transforming data into meaningful insights and solutions
As an entry-level Data Scientist, I combine analytical thinking with technical expertise to extract meaningful insights from complex datasets. My journey in data science is driven by a passion for solving real-world problems through data-driven approaches.
I specialize in machine learning, statistical analysis, and data visualization, with a strong foundation in Python and SQL. My goal is to contribute to innovative projects that leverage data science to create impactful solutions.
Entry Level Professional
Open to Relocation
ML, AI, Data Analysis
Developed a machine learning model for analyzing customer sentiment from social media data using NLP techniques.
Built a predictive model for forecasting sales using time series analysis and machine learning algorithms.
Implemented a deep learning model for image classification using convolutional neural networks.
Computer Science & Engineering
University Name
Science Stream
School Name
Coursera - Stanford University
Comprehensive course covering machine learning algorithms, neural networks, and practical applications.
IBM
Advanced certification in data science fundamentals, statistical analysis, and visualization.
DeepLearning.AI
In-depth study of neural networks, CNN, RNN, and deep learning applications.
Python for Data Science
DataCamp
SQL Advanced Certification
HackerRank
Project Lead, Tech Solutions
"Exceptional analytical skills and a great team player. Their contribution to our data science projects has been invaluable."
Senior Data Scientist
"Shows great promise in the field of data science. Quick learner with strong problem-solving abilities."