Dattatray Resume
Data Science Experience
Sep 2023 -
Present
Provided comprehensive support to data scientists throughout the analytics lifecycle, reducing cleaning time by 25% and maintaining high data quality standards. Collaborated with the team to build predictive models, resulting in a 20% increase in accuracy compared to previous models. Coordinated a team of data scientists, overseeing 2 different projects and managing a team of 7 members. Updated data streaming processes, resulting in an 18% reduction in redundancy and improved efficiency.
Jun 2023 - Present
Actively contributing to machine learning projects during the ongoing Oasis internship, with a focus on essential phases such as data preprocessing, model development, and evaluation. Improving data preprocessing techniques to reduce data cleaning time by 20% and enhance data quality. Developing and implementing machine learning models that outperform baseline models, resulting in a 15% increase in prediction accuracy. Collaborating with a data science team to evaluate and fine-tune models, aiming to achieve a 90% accuracy rate in predicting key outcomes
Oct 2022 -
May 2023
Provided comprehensive support to data scientists throughout the analytics lifecycle, reducing cleaning time by 25% and maintaining high data quality standards. Collaborated with the team to build predictive models, resulting in a 20% increase in accuracy compared to previous models. Coordinated a team of data scientists, overseeing 2 different projects and managing a team of 7 members. Updated data streaming processes, resulting in an 18% reduction in redundancy and improved efficiency.
Education
Oct 2022 -
Jan 2023
I have obtained a Master Program in Data Science from ExcelR Solution Pune. My coursework covered topics such as Machine Learning, Deep Learning, Python, SQL, Statistical Analysis, and Data Visualization.
Aug 2018 -
Sep 2022
I have obtained a Bachelor's degree in Civil Engineering from a reputable Shivaji University, Kolhapur with CGPA 9 out of 10
Jun 2017 -
July 2018
I have done HSC from Maharashtra State Board with percentage 72%.
Jun 2015 -
July 2016
I have done SSC from Maharashtra State Board with percentage 90%.
Skills
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Data Analysis: Proficient in exploring, cleaning, and transforming complex datasets using Python, R, and SQL. Skilled in data preprocessing, feature engineering, and data visualization using Pandas, NumPy, Matplotlib, and Seaborn.
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Machine Learning: Experienced in building and deploying machine learning models for diverse applications, including supervised and unsupervised learning, natural language processing (NLP), computer vision, and recommendation systems. Familiarity with scikit-learn, TensorFlow, Keras, and PyTorch.
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Statistical Modeling: Strong understanding of statistical concepts and methodologies, enabling the application of hypothesis testing, A/B testing, regression analysis, and Bayesian statistics to draw valuable insights from data.
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Predictive Analytics: Proficient in developing predictive models for various business scenarios, such as churn prediction, customer segmentation, demand forecasting, and fraud detection, using machine learning algorithms and time series analysis.
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Data Visualization: Skilled in creating compelling visualizations and interactive dashboards using tools like Tableau, Power BI, effectively communicating complex insights to stakeholders and making data-driven decisions accessible.
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Big Data Technologies: Familiarity with working with large-scale datasets and distributed computing frameworks such as Apache Hadoop, leveraging their capabilities for processing and analyzing big data.
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Feature Engineering: Expertise in extracting meaningful features from raw data, incorporating domain knowledge and data understanding to enhance model performance and accuracy.
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Data Engineering: Knowledge of designing and implementing data pipelines, data warehousing, and ETL (Extract, Transform, Load) processes to ensure a streamlined flow of data for analysis.
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Problem Solving: Adept at approaching challenges with a systematic and analytical mindset, breaking down complex problems into manageable components, and implementing innovative solutions.
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Collaboration and Communication: Excellent teamwork and communication skills, facilitating effective collaboration with cross-functional teams, stakeholders, and presenting technical concepts to non-technical audiences.
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Continuous Learning: A strong passion for staying updated with the latest advancements in data science, participating in online courses, attending workshops, and contributing to the data science community.
