Data Science with less than a year in Data Analysis & Machine Learning
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Assessing your cultural and operational fit
Driven and detail-oriented Aspiring Data Scientist with a solid foundation in data analysis, statistical modeling, and machine learning. Proficient in Python libraries such as NumPy, Pandas, Seaborn, Matplotlib, and scikit-learn, with hands-on experience in Natural Language Processing (NLP), machine learning algorithms, and data wrangling. Skilled in SQL, MySQL, and data visualization tools like Tableau and Power BI. Strong problem-solving abilities with a collaborative mindset, ready to contribute to the success of a forward-thinking, data-driven organization.
Sadguru Gadage Maharaj College
Master of Science · Statistics
August 1, 2021 – June 30, 2023
Shivaji University
Bachelor of Science · Statistics
August 1, 2018 – June 30, 2021
Neubrain Solutions Pvt Ltd
Data Science Intern
August 1, 2024 – November 1, 2024
Pune, Maharashtra, India
Yess Infotech pvt, Ltd
Data Science Intern
May 1, 2023 – November 1, 2023
Pune, Maharashtra, India
To study car price prediction using machine learning
January 1, 2023 – March 1, 2023
Developed a robust machine learning model to predict car prices. Applied feature engineering techniques to preprocess and clean datasets, ensuring high-quality inputs for the model. Performed comprehensive exploratory data analysis (EDA) to understand data distributions, identify patterns, and extract insights to guide model development and feature selection. Implemented various machine learning algorithms, including linear regression, decision trees to identify the model that delivers the highest accuracy in predicting car prices. Compared model accuracies and selected the best-performing model to be used for making accurate predictions on new data.
Data Science
Yess Infotech
January 1, 2023 – Present
Data Visualization and Analytics Virtual Experience
Accenture
January 1, 2023 – Present
Statistics & Machine Learning
SGM College (MSc)
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's project diversity, including car price prediction and wine quality prediction, along with internship experiences in different companies, shows adaptability and a broad interest in applying data science across various domains. Their certifications and continuous learning efforts align with a culture of growth and skill development. The collaborative nature of their project work and stakeholder engagement indicates a good fit for team-oriented environments.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving abilities, a collaborative mindset, and a proactive approach to learning new technologies. Their experience in stakeholder communication and project delivery indicates good operational fit for data-driven roles requiring interaction and clear reporting. The candidate has received appreciation from managers for exceptional performance, suggesting a positive work attitude and commitment.