Entry-level Data Science professional with strong Python, Machine Learning, and Data Analysis skills
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Bachelor of Engineering graduate in Artificial Intelligence and Data Science from University of Mumbai with a strong focus on Software Development and Data Analysis. Proficient in Python along with its libraries such as NumPy, Pandas, and Matplotlib, and experienced in working with SQL. Gained hands-on experience by building multiple projects involving data analysis, machine learning, and real-world problem solving. Continuously learning and applying analytical and programming skills to develop efficient and scalable solutions.
University of Mumbai
Bachelor of Engineering · Artificial Intelligence and Data Science
August 1, 2021 – June 30, 2025
St. Joseph English High School
Secondary School Certificate · SSC
N/A – Present
St. Peter College, Mumbai
Higher Secondary Certificate · HSC
N/A – Present
Real Estate Price Prediction
June 24, 2026 – Present
Developed machine learning models using Python and scikit-learn to predict property prices. Applied algorithms such as Random Forest and Linear Regression with feature engineering techniques for improved accuracy.
Gesture Recognition and Emotion Detection
June 24, 2026 – Present
Built a real-time machine learning system for gesture recognition and emotion detection achieving 91% accuracy. Utilized Deep Learning frameworks along with OpenCV and TensorFlow for real-time processing and prediction.
Renewable Energy Integration with Microgrid Optimization
June 24, 2026 – Present
Developed and implemented algorithms to optimize the integration of renewable energy sources within a microgrid system. Improved voltage stability and power sharing while forecasting Distributed Energy Resources (DER). Applied advanced AI techniques including ANN, Reinforcement Learning, FFNN, and MLP for efficient microgrid control.
Exploratory Data Analysis on US Road Accidents
June 24, 2026 – Present
Performed large-scale data analysis to identify patterns in accident frequency, severity, and contributing environmental factors. Created visual insights using tools like PowerBI, Matplotlib, and Seaborn for effective data interpretation.
Cultural Fit Analysis
The candidate's projects demonstrate a strong interest in diverse applications of AI and Data Science, from energy optimization to real estate prediction and computer vision. This breadth of interest suggests adaptability and a willingness to explore different problem domains, which can be a positive for cultural fit in an innovative environment. However, all projects are academic, limiting insight into collaboration within a professional team setting.
Soft Skills & Operational Fit
The candidate lists analytical thinking, teamwork, problem-solving, adaptability, and presentation as soft skills. The project descriptions indicate an ability to apply these skills in academic settings. However, without professional experience or specific examples, it's difficult to fully assess operational fit in a senior role.