Satwik Mishra is seeking a position in data science. He has a Master's in Computer Science expected in 2020 from Rochester Institute of Technology with a 4.0 GPA. He received a Bachelor's in Information Technology in 2018 from Manipal Institute of Technology with an 8.29/10 GPA. His skills include Python, Java, C++, Git, MySQL, R, and he has experience with machine learning algorithms like random forest and XGBoost. He has internship experience in data science and published a paper on bagging and boosting algorithms. His projects include lung cancer detection using deep learning and a movie recommendation system using collaborative filtering with MapReduce.

1. Satwik Mishrasatwik.mishra1995@gmail.com
+1 (585)-754-5924
EDUCATION
ROCHESTER INSTITUTE
OF TECHNOLOGY
MS COMPUTER SCIENCE
| 2018-2020 (EXPECTED)
Rochester, New York
CGPA: 4/4
MANIPAL INSTITUTE
OF TECHNOLOGY
B.TECH IN INFORMATION
TECHNOLOGY | 2014-2018
Manipal, India
CGPA: 8.29/10
COURSEWORK
MS CS
Advanced Object Oriented
Programming
Computational Problem Solving
Fundamentals of Computer Science
Thoery
B.TECH IT
Neural Network and Fuzzy Logic
Pattern Recognition
Computer Vision
Natural Computing
Human Computer Interaction
SKILLS
PROGRAMMING
Over 5,000 lines:
Python • Java
Over 1000 lines:
C++
Familiar:
Git • C • CSS • HTML
Android Studio • MySQL• R• LATEX
TCP/IP• UDP• RMI •Multithreading
CERTIFICATION
2016 Coursera Algorithms Part 1
Stanford University
2016 Coursera R Programming
Johns Hopkins University
LINKS
Github:// Satwik95
Google Scholar://Satwik
LinkedIn:// satwik-mishra
EXPERIENCE
APOLLO MUNICH HEALTH INSURANCE | DATA SCIENCE INTERN
May 2017 - June 2017 | Gurgaon, Haryana, India
• Implemented a Fraudulent health insurance claim prediction model using
Python and Excel. Created an ensemble of Random Forest, Gradient Boosting
and XGBoost.
• Implemented a GUI to fetch tweets and give public sentiment analysis for a
given company name.
• Libraries used - Sklearn, imblearn, XGBoost, Seaborn, Tweepy, TextBlob, NLTK,
Wordcloud, PyQt
RESEARCH AND PUBLICATION
BAGGING AND BOOSTING WITH EQUIVALENT SPACE
CONSUMPTION | SCOPUS | AUTHOR
May-Dec 2017 | Manipal, India
• Implemented and compared the various trade-offs between Bagging and
Boosting Algorithms under different conditions.
• Publication: R Agarwal, S Mishra, CV Arjun, Bagging and Boosting with
Equivalent Space Consumption, Journal of Advanced Research in Dynamical
and Control Systems, 01-Special Issue 2017, 209-220
• Link: JARDACS
PROJECTS
LUNG CANCER DETECTION USING DEEP LEARNING | B.TECH
FINAL YEAR PROJECT
Jan 2018 - May 2018 | Manipal, India
• Developed an algorithm using 3D CNN with an ensemble of different activation
functions and data augmentation to determine when lesions in the lungs are
cancerous.
• Data set: High-resolution CT Scans of lungs provided by Kaggle.
MOVIE RECOMMENDATION USING COLLABORATIVE FILTERING
| HADOOP MAPREDUCE
Aug 2016 - Nov 2016 | Manipal, India
• To recommend movies using Collaborative filtering and sentiment analysis
incorporated with MapReduce.
• Implemented mapper and reducer classes and performed sentiment analysis on
movie reviews, computed Tanimoto co-efficient for item based filtering.
LOG REPORT | POSTGRESQL, PYTHON
Dec 2018 - Dec 2018| Rochester, USA
• This project’s objective is to create a reporting tool, returning results on the
basis of queries, from a database using Python and PostgreSQL.
PACMAN: ARCADE GAME | AI PROJECT | JAVA
May 2016 – June 2016| Manipal, India
• Developed Pacman, a 2-D game using Java and Java AWT.
• Implemented the Game loop, BFS as the path finding algorithm for bots, and
movement animation.