About
Detail-oriented Data Scientist in transition, leveraging a Bachelor's degree in Chemistry and two years of rigorous analytical experience in laboratory settings to drive data-driven innovation. Proficient in Python, Machine Learning, Deep Learning, NLP, and Generative AI, I excel at transforming complex data into actionable insights and developing predictive models. Eager to apply a unique blend of scientific precision and advanced data science techniques to solve challenging problems and contribute to cutting-edge solutions.
Work
Remote
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Summary
Developed and implemented predictive analytical models, applying advanced machine learning techniques to derive insights from complex datasets.
Highlights
Developed a robust Titanic survival prediction system, analyzing key factors like age, gender, and socio-economic status to achieve high predictive accuracy for survival outcomes.
Engineered an LSTM-based stock price predictor, leveraging deep learning techniques to forecast market trends and inform potential investment strategies with time-series data.
Created a linear regression model for diamond price prediction, demonstrating proficiency in statistical modeling, feature engineering, and data-driven value assessment.
Ankleshwar, Gujarat, India
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Summary
Managed critical laboratory instrumentation and data reporting, ensuring high standards of accuracy and compliance for chemical analyses within a manufacturing environment.
Highlights
Analyzed and calibrated a diverse range of laboratory instruments, including weight balances, Karl Fischer titrators, and FTIR spectrometers, ensuring 100% accuracy and operational reliability.
Recorded and meticulously reported data for various chemical analyses, maintaining strict compliance with industry standards and regulatory requirements.
Collaborated effectively with the quality control team to uphold and advance high standards of laboratory practices, contributing to product quality and process integrity.
Languages
English
Gujarati
Hindi
Skills
Programming & Databases
Python, SQL, MySQL, Data Structures, Algorithms.
Data Analysis & Visualization
Pandas, NumPy, Matplotlib, Seaborn, Excel, Power BI, Data Cleaning, Exploratory Data Analysis, Statistical Analysis.
Machine Learning
Scikit-Learn, TensorFlow, PyTorch, Deep Learning, Natural Language Processing (NLP), Generative AI, Predictive Modeling, Model Evaluation, Feature Engineering.
Mathematics for Machine Learning
Statistics, Probability, Linear Algebra, Calculus.
Tools & Software
Microsoft Word, Jupyter Notebook, Google Colab, Git, GitHub.
Analytical & Problem-Solving
Quantitative Analysis, Problem Solving, Critical Thinking, Data Interpretation, Quality Control, Scientific Research.