• Python
• SQL
• C++
• HTML
• JavaScript
Languages:
Tools & Technologies:
• Power BI, Tableau
• Jupyter Notebook
• MySQL, Pycharm
• Hadoop / Spark
• MS Excel
B.E. (Computer), 2020
(City International, Pune)
93.1 %
Qualified ranker in JEE
Advanced 2014
CBSE (10+2)
(Maharashtra Institute of
Technology, Pune)
6.88 SGPA
Sponsorship Head of MIT-
CREON Fest, 2018
Member of College E-cell.
(Sinhgad Public School,
Lonavala)
First Rank in AISSE (Maval
Region)
High School
Education
B.E. Project
(Python, SQL)
Analytics & Machine
Learning Projects.
(Python, SQL)
Pure Python Projects
(Python)
• Analysing Sentiments in One Go.
• Sea Level Predictor
• Cat & Dog Classifier
• Time Series Visualizer
• Exploratory Bank Stock Analysis
• Medical Data Analyser and Clustering
• File Converter
Analyse Sentiments of users through their Product
Reviews using Latent Dirchlet Allocation and Machine Learning
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• Covid-19 App
Analysing Bank Stock Data using Plots, Charts and
predicting the trend in Stock Prices. (Pandas, Seaborn)
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Analysis and Clustering of Medical data using heatmaps, catplot, Inferential Statistics and K-Means (Scikit, Seaborn) Visualized time series data patterns using line chart, bar plot and box plots. (Pandas, Seaborn, Datetime)
Classification of Cat and Dog from Images using Keras, Tensorflow and Convolutional Neural Networks
Predicting Sea Level using Regression Analysis. (Pandas, Seaborn, Scipy)
Live Covid-19 Update of India using Tkinter, Geo plots and Covid-19 India API.
Convert ‘.png’, ‘.jpeg’, ‘.doc’ into ‘.pdf, at a click using Tkinter and Pillow Libraries
Certifications
Complete Python Developer in 2020 (Udemy)
Data Analysis with Python Developer Certification (freeCodeCamp.org)
• August 2020
• Python Basics, OOPs, Regex, Error Handling, Automation, Web Scraping and APIs.
• File Processing, Twitter Bot, Data Science Basics on Kaggle Datasets.
• September 2020
• Data Pre-processing, Analysis and Visualization using Numpy, Pandas, Matplotlib, Seaborn and Scikit-Learn.
• Choropleth Maps and Interactive Plots. Inferential and Descriptive Statistics.
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• An individual having skills in Data Science, Machine Learning and Team management.
• Experience in Python and Data Analytics using Jupyter Notebook and Python Libraries.
• Sterling Analytical, Decision-making and Problem-solving skills with a strong aptitude in Mathematics.
• Excellent interpersonal communication and presentation skills. GitHub
www.github.com/swapp27
www.linkedin.com/swapp2
7
9.8 CGPA