Aniket_C MSC Data Science Portfolio.pptx

Data Science Portfolio of Aniket Chakraborty

1. Home Education Work Experience Projects Certificates Technical Skills Soft Skills Achievements Contact Aniket Chakraborty Preferable Job Roles: Data Scientist, Data Analyst, Data Science Intern, Data Analyst Intern A motivated and dedicated Data Science Fresher from MAHE looking to leverage strong programming skills in Python, R, SQL, Tableau & Spreadsheets, Machine Learning - analytical aptitude and knowledge of data visualizations to effectively analyze, interpret, and present insights from large datasets in an accurate and meaningful way. Interested in making career in the field of Artificial Intelligence through deep learning and TensorFlow.

2. Education Master of Science, Data Science Manipal Academy of Higher Education (MAHE), Manipal, Udupi, Karnataka Oct 2022 to Sep 2024 CGPA – 9.50 Bachelor of Science (H), Mathematics Ramakrishna Mission Vivekananda Centenary College (RKMVCC), Kolkata, West Bengal Jul 2019 to Aug 2022 CGPA – 9.00 Higher Secondary Education, Pure Science Baranagore Narendranath Vidyamandir (B.N.N.V.), WBCHSE Mar 2018 – Feb 2019 Scored 84 % out of 500 Secondary Education Baranagore Ramakrishna Mission Ashram High School (BRKMHS), WBBSE Jan 2016 – Feb 2017 Scored 86.87 % out of 700

3. Work Experience Data Science Internship Research Intern, Institute of Pulmocare and Research (IPCR), Kolkata Jul 2024 - present Collect HRCT images of patients with proper consent – use software like MicroDicom viewer, ImageJ, OneNote to mark and calculate parameters like area, perimeter of different heart chambers – collect, organize, manipulate data – perform statistical tests to check any significant different – report making

4. Project Works Natural Language Processing – Sentiment Analysis Machine Learning, NLP techniques Stop Words, Punctuations detection deletion Word Cloud creation Python and its packages To see the project, click here Machine Learning – Computer Vision – Image Clustering Non-hierarchical K-Means clustering OpenCv, Scikit-learn Model Building, Unsupervised Method Python and its packages To see the project, click here

5. Project Works Machine Learning – Classification – Decision Tree Gives tree like structure as result Scikit-learn, data preparation Model Building, Supervised Method Python and its packages To see the project, click here Machine Learning Algorithm – Rain Prediction Accuracy metrices, classification Different models, data preparation Confusion Matrix Creation, Supervised Method Python and its packages To see the project, click here

6. Project Works Machine Learning – Clustering algorithm Gives tree like structure as result - hierarchical Scikit-learn, data preparation Model Building Python and its packages To see the project, click here Machine Learning Algorithm – Clustering Machine Learning, K-means, non-hierarchical Model Building, data preparation Accuracy Measurement, unsupervised method Python and its packages To see the project, click here

7. Project Works Machine Learning – Classification algorithm Drug prediction based on features Scikit-learn, data preparation Model Building Python and its packages To see the project, click here Machine Learning Algorithm – Regression Analysis Machine Learning – linear and logistic regression Model Building, data preparation Accuracy Measurement, Supervised method Python and its packages To see the project, click here

8. Project Works Data Analysis Project – Canadian Immigration EDA, Data manipulation, cleaning, data viz Data Interpretations – insight inference Policy making, trend estimation, possible reasons Python and its packages To see the project, click here Data Analysis Project – Cricket WorldCup 2k23 Data Collection, manipulation, EDA, cleaning, data viz Data Interpretation – discussion result Performance analysis of players and teams Python, SQL, Tableau, Spreadsheets To see the project, click here

9. Certificate Courses Google Data Analytics Professional Certificate Course IBM Data Science Professional Certificate Course Mathematics For Machine Learning Professional Certificate Course Offered by Coursera Platform. To see the certificate, click here Certification time – May 13, 2023 Basic knowledge of data, ask questions to know extent of data, prepare data for exploration, data cleaning, manipulation, EDA, visualization, Python, R, SQL, Tableau, Spreadsheet, capstone project Offered by Coursera platform. To see the certificate, click here Certification time – Nov 2, 2023 Basic foundations of data science, tools used for data science, Python, R, SQL, GitHub, Machine Learning, data visualization with python packages, capstone Project Offered by Coursera Platform. To see the certificate, click here Certification time – Jan 7, 2024 Basic Mathematical operations – matrix, vectors, linear algebra, differential calculus, eigenvector, eigenvalue, Principle Component Analysis (PCA), multivariate calculus, linear transformations

10. Certificate Courses Data Viz. With Tableau Professional Certificate Course Prompt Engineering with ChatGPT Professional Certificate Course IBM Data Science Capstone Project Completion Offered by Coursera Platform. To see the certificate, click here Certification time – Nov 7, 2023 Basics of Tableau, Tableau desktop, Tableau web application, drag and drop feature, best color schemes, best practices of plotting a graph, Make-Over-Monday projects, handling twitter (X) account, sharing works Offered by Coursera Platform. To see the certificate, click here Certification time – Oct 31, 2023 Understanding basics of ChatGPT, use of ChatGPT, write prompts, role play, yes/no questions, ethical use of ChatGPT, when to use LLMs, types of LLMs, working principles of LLMs Offered by Coursera Platform. To see the certificate, click here Certification time – Nov 2, 2023 Apply basic knowledge gained in courses, SpaceX original data analysis, Python, SQL, Plotly, Machine Learning, web scrapping, report making, power point presentation

11. Technical Stacks Foundations for Data Science Data Science Tools Data Analysis Skills Mathematics (Matrix, matrix operation, vectors, vector operation, vector spaces, linear algebra, eigenvalues, eigenvectors, multivariate calculus, differential calculus, partial derivatives, dot & cross products) Statistics and Probability (Basic terms, definitions, distributions, concepts, normalization methods) Computer (MS Word, MS Power Point, MS Office, program syntax ) Python (NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, SciPy, OS, OpenCv, nltk) R programming (tidyverse, dplyr, glmtoolbox, plm) SQL (basic operations, triggers, stored procedures) Spreadsheets (numerical calculation, conditional formatting, sorting) Tableau Data understanding, data collection, data exploration, organization Data cleaning, storing, manipulation, sanity check, feature engineering Exploratory data analysis, data visualization, chart making Statistical tests (hypothesis testing, statistical modeling) Mathematical modeling Graphical interpretation, report writing, presentation

12. Technical Stacks Data Science Skills Skills Under Consideration Use of ChatGPT for solving real life problems Machine learning (regression, classification, decision tree, clustering, SVM, ensemble, confusion matrix), OLS, KNN, K-Means, evaluation metrices – accuracy, log loss, RMSE, MSE Deep learning (weight, bias, architecture, regularization, loss, batch processing, sample, tensor shape detection, structure, chain rule) Deep learning (model building, TensorFlow) Python frameworks (PyTorch, PySpark) Convolutional Neural Networks (CNN) – model building Time Series Analysis using Python packages, libraries Understanding AI systems – model building Incorporating AI tools like ChatGPT in Excel to solve business problems

13. Soft Skills Communication Adaptability Goal Oriented Work Time Management Collaboration Leadership Problem Solving Self Disciplined Active Listening Quick Learning Research Mindset

14. Achievements Working on a research paper named ‘Natural Disasters – A case study of India’, part of MSc Data Science Academics – Manipal Academy of Higher Education with proper external project guide. Research proposal already submitted – research report is under process. Working on a second research paper named ‘To study whether there is any significant difference between different measurements of Heart Shadow in HRCT chest’ – part of Data Science Internship at IPCR Kolkata, under well known Pulmonologist Dr. Parthasarathi Bhattacharya. Research proposal already submitted – report is under process. The abstract is supposed to be shared in Pulmocon, a yearly seminar of IPCR, that deals with scientific researches that are happening in IPCR. Till third week of Mach 2024, LinkedIn profile crosses over 100 profile views and 800 post impressions. Over 25 repositories created since last year in GitHub profile.

15. Contact Information Ways to reach Mr. Aniket Chakraborty Mobile - [phone] Mail Id – Click Here GitHub Profile – Click Here LinkedIn Id – Click Here Tableau Profile – Click Here Video Introduction – Click Here